release 1.1.0

changelog for 1.1.0

.bowerrc

@@ -1,3 +0,0 @@
-{
-  "directory": "share/jupyter/hub/static/components"
-}

.circleci/config.yml

@@ -0,0 +1,75 @@
+# Python CircleCI 2.0 configuration file
+# Updating CircleCI configuration from v1 to v2
+# Check https://circleci.com/docs/2.0/language-python/ for more details
+#
+version: 2
+jobs:
+  build:
+    machine: true
+    steps:
+      - checkout
+      - run:
+          name: build images
+          command: |
+            docker build -t jupyterhub/jupyterhub .
+            docker build -t jupyterhub/jupyterhub-onbuild onbuild
+            docker build -t jupyterhub/jupyterhub:alpine -f dockerfiles/Dockerfile.alpine .
+            docker build -t jupyterhub/singleuser singleuser
+      - run:
+          name: smoke test jupyterhub
+          command: |
+            docker run --rm -it jupyterhub/jupyterhub jupyterhub --help
+
+  docs:
+    # This is the base environment that Circle will use
+    docker:
+      - image: circleci/python:3.6-stretch
+    steps:
+      # Get our data and merge with upstream
+      - run: sudo apt-get update
+      - checkout
+      # Update our path
+      - run: echo "export PATH=~/.local/bin:$PATH" >> $BASH_ENV
+      # Restore cached files to speed things up
+      - restore_cache:
+          keys:
+            - cache-pip
+      # Install the packages needed to build our documentation
+      - run:
+          name: Install NodeJS
+          command: |
+            # From https://github.com/nodesource/distributions/blob/master/README.md#debinstall
+            curl -sL https://deb.nodesource.com/setup_13.x | sudo -E bash -
+            sudo apt-get install -y nodejs
+
+      - run:
+          name: Install dependencies
+          command: |
+            python3 -m pip install --user -r dev-requirements.txt
+            python3 -m pip install --user -r docs/requirements.txt
+            sudo npm install -g configurable-http-proxy
+            sudo python3 -m pip install --editable .
+
+      # Cache some files for a speedup in subsequent builds
+      - save_cache:
+          key: cache-pip
+          paths:
+            - ~/.cache/pip
+      # Build the docs
+      - run:
+          name: Build docs to store
+          command: |
+            cd docs
+            make html
+      # Tell Circle to store the documentation output in a folder that we can access later
+      - store_artifacts:
+          path: docs/build/html/
+          destination: html
+
+# Tell CircleCI to use this workflow when it builds the site
+workflows:
+  version: 2
+  default:
+    jobs:
+      - build
+      - docs

.coveragerc

@@ -1,4 +1,18 @@
 [run]
+parallel = True
+branch = False
 omit =
     jupyterhub/tests/*
     jupyterhub/alembic/*
+
+[report]
+exclude_lines =
+    if self.debug:
+    pragma: no cover
+    raise NotImplementedError
+    if __name__ == .__main__.:
+ignore_errors = True
+omit =
+    jupyterhub/tests/*
+    jupyterhub/alembic/*
+    */site-packages/*

.dockerignore

@@ -4,3 +4,7 @@ jupyterhub_cookie_secret
 jupyterhub.sqlite
 jupyterhub_config.py
 node_modules
+docs
+.git
+dist
+build

.flake8

@@ -0,0 +1,24 @@
+[flake8]
+# Ignore style and complexity
+# E: style errors
+# W: style warnings
+# C: complexity
+# F401: module imported but unused
+# F403: import *
+# F811: redefinition of unused `name` from line `N`
+# F841: local variable assigned but never used
+# E402: module level import not at top of file
+# I100: Import statements are in the wrong order
+# I101: Imported names are in the wrong order. Should be
+ignore = E, C, W, F401, F403, F811, F841, E402, I100, I101, D400
+builtins = c, get_config
+exclude =
+    .cache,
+    .github,
+    docs,
+    jupyterhub/alembic*,
+    onbuild,
+    scripts,
+    share,
+    tools,
+    setup.py

.github/ISSUE_TEMPLATE/bug_report.md

@@ -0,0 +1,39 @@
+---
+name: Issue report
+about: Create a report to help us improve
+
+---
+
+<!---
+Hi! Thanks for using JupyterHub.
+
+If you are reporting an issue with JupyterHub, please use the GitHub search feature to check if your issue has been asked already. If it has, please add your comments to the existing issue.
+
+Some tips:
+- Running `jupyter troubleshoot` from the command line, if possible, and posting
+its output would also be helpful.
+- Running JupyterHub in `--debug` mode (`jupyterhub --debug`) can also be helpful for troubleshooting.
+--->
+
+**Describe the bug**
+A clear and concise description of what the bug is.
+
+<!---Add description here--->
+
+**To Reproduce**
+<!---
+Please share the steps to reproduce the behavior:
+1. Go to '...'
+2. Click on '....'
+3. Scroll down to '....'
+4. See error
+--->
+
+**Expected behavior**
+<!---
+A clear and concise description of what you expected to happen.
+--->
+
+**Compute Information**
+ - Operating System
+ - JupyterHub Version [e.g. 22]

.github/ISSUE_TEMPLATE/installation-and-configuration-issues.md

@@ -0,0 +1,22 @@
+---
+name: Installation and configuration questions
+about: Installation and configuration assistance
+
+---
+
+<!---
+If you are reading this message, you have probably already searched the existing
+GitHub issues for JupyterHub. If you haven't tried a search, we encourage you to do so.
+
+If you are unsure where to ask your question (Jupyter, JupyterHub, JupyterLab, etc.),
+please ask on our [Discourse Q&A channel](https://discourse.jupyter.org/c/questions).
+
+If you have a quick question about JupyterHub installation or configuratation, you
+may ask on the [JupyterHub gitter channel](https://gitter.im/jupyterhub/jupyterhub).
+
+:sunny: Please be patient. We are volunteers and will address your question when we are able. :sunny:
+
+If after trying the above steps, you still have an in-depth installation or
+configuration question, such as a possible bug, please file an issue below and include
+any relevant details.
+--->

.github/issue_template.md

@@ -1,29 +0,0 @@
-Hi! Thanks for using JupyterHub.
-
-If you are reporting an issue with JupyterHub:
-
-- Please use the [GitHub issue](https://github.com/jupyterhub/jupyterhub/issues)
-  search feature to check if your issue has been asked already. If it has,
-  please add your comments to the existing issue.
-
-- Where applicable, please fill out the details below to help us troubleshoot
-  the issue that you are facing. Please be as thorough as you are able to
-  provide details on the issue.
-
-**How to reproduce the issue**
-
-**What you expected to happen**
-
-**What actually happens**
-
-**Share what version of JupyterHub you are using**
-
-Running `jupyter troubleshoot` from the command line, if possible, and posting
-its output would also be helpful.
-
-```
-
-Insert jupyter troubleshoot output here
-
-
-```

.gitignore

@@ -3,9 +3,10 @@ node_modules
 *~
 .cache
 .DS_Store
-build
+/build
 dist
 docs/_build
+docs/build
 docs/source/_static/rest-api
 .ipynb_checkpoints
 # ignore config file at the top-level of the repo
@@ -13,11 +14,15 @@ docs/source/_static/rest-api
 /jupyterhub_config.py
 jupyterhub_cookie_secret
 jupyterhub.sqlite
-share/jupyter/hub/static/components
-share/jupyter/hub/static/css/style.min.css
-share/jupyter/hub/static/css/style.min.css.map
+package-lock.json
+share/jupyterhub/static/components
+share/jupyterhub/static/css/style.min.css
+share/jupyterhub/static/css/style.min.css.map
 *.egg-info
 MANIFEST
 .coverage
+.coverage.*
 htmlcov
-
+.idea/
+.pytest_cache
+pip-wheel-metadata

.pre-commit-config.yaml

@@ -0,0 +1,20 @@
+repos:
+- repo: https://github.com/asottile/reorder_python_imports
+  rev: v1.8.0
+  hooks:
+  - id: reorder-python-imports
+    language_version: python3.6
+- repo: https://github.com/ambv/black
+  rev: 19.10b0
+  hooks:
+  - id: black
+- repo: https://github.com/pre-commit/pre-commit-hooks
+  rev: v2.4.0
+  hooks:
+  - id: end-of-file-fixer
+  - id: check-json
+  - id: check-yaml
+  - id: check-case-conflict
+  - id: check-executables-have-shebangs
+  - id: requirements-txt-fixer
+  - id: flake8

.travis.yml

@@ -1,22 +1,94 @@
-# http://travis-ci.org/#!/jupyter/jupyterhub
+dist: bionic
 language: python
-sudo: false
-python:
-    - 3.6-dev
-    - 3.5
-    - 3.4
-    - 3.3
+cache:
+  - pip
+env:
+  global:
+    - MYSQL_HOST=127.0.0.1
+    - MYSQL_TCP_PORT=13306
+
+# request additional services for the jobs to access
+services:
+  - postgresql
+  - docker
+
+# install dependencies for running pytest (but not linting)
 before_install:
-    - npm install
-    - npm install -g configurable-http-proxy
-    - git clone --quiet --depth 1 https://github.com/minrk/travis-wheels travis-wheels
+  - set -e
+  - nvm install 6; nvm use 6
+  - npm install
+  - npm install -g configurable-http-proxy
+  - |
+    # setup database
+    if [[ $JUPYTERHUB_TEST_DB_URL == mysql* ]]; then
+      unset MYSQL_UNIX_PORT
+      DB=mysql bash ci/docker-db.sh
+      DB=mysql bash ci/init-db.sh
+      # FIXME: mysql-connector-python 8.0.16 incorrectly decodes bytes to str
+      # ref: https://bugs.mysql.com/bug.php?id=94944
+      pip install 'mysql-connector-python==8.0.11'
+    elif [[ $JUPYTERHUB_TEST_DB_URL == postgresql* ]]; then
+      psql -c "CREATE USER $PGUSER WITH PASSWORD '$PGPASSWORD';" -U postgres
+      DB=postgres bash ci/init-db.sh
+      pip install psycopg2-binary
+    fi
+
+# install general dependencies
 install:
-    - pip install --pre -f travis-wheels/wheelhouse -r dev-requirements.txt .
+  - pip install --upgrade pip
+  - pip install --upgrade --pre -r dev-requirements.txt .
+  - pip freeze
+
+# run tests
 script:
-    - travis_retry py.test --cov jupyterhub jupyterhub/tests -v
+  - pytest -v --maxfail=2 --cov=jupyterhub jupyterhub/tests
+
+# collect test coverage information
 after_success:
-    - codecov
-matrix:
+  - codecov
+
+# list the jobs
+jobs:
   include:
-    - python: 3.5
-      env: JUPYTERHUB_TEST_SUBDOMAIN_HOST=http://127.0.0.1.xip.io:8000
+    - name: autoformatting check
+      python: 3.6
+      # NOTE: It does not suffice to override to: null, [], or [""]. Travis will
+      #       fall back to the default if we do.
+      before_install: echo "Do nothing before install."
+      script:
+        - pre-commit run --all-files
+      after_success: echo "Do nothing after success."
+      after_failure:
+        - |
+          echo "You can install pre-commit hooks to automatically run formatting"
+          echo "on each commit with:"
+          echo "    pre-commit install"
+          echo "or you can run by hand on staged files with"
+          echo "    pre-commit run"
+          echo "or after-the-fact on already committed files with"
+          echo "    pre-commit run --all-files"
+    # When we run pytest, we want to run it with python>=3.5 as well as with
+    # various configurations. We increment the python version at the same time
+    # as we test new configurations in order to reduce the number of test jobs.
+    - name: python:3.5 + dist:xenial
+      python: 3.5
+      dist: xenial
+    - name: python:3.6 + subdomain
+      python: 3.6
+      env: JUPYTERHUB_TEST_SUBDOMAIN_HOST=http://localhost.jovyan.org:8000
+    - name: python:3.7 + mysql
+      python: 3.7
+      env:
+        - JUPYTERHUB_TEST_DB_URL=mysql+mysqlconnector://root@127.0.0.1:$MYSQL_TCP_PORT/jupyterhub
+    - name: python:3.8 + postgresql
+      python: 3.8
+      env:
+        - PGUSER=jupyterhub
+        - PGPASSWORD=hub[test/:?
+        # The password in url below is url-encoded with: urllib.parse.quote($PGPASSWORD, safe='')
+        - JUPYTERHUB_TEST_DB_URL=postgresql://jupyterhub:hub%5Btest%2F%3A%3F@127.0.0.1/jupyterhub
+    - name: python:nightly
+      python: nightly
+  allow_failures:
+    - name: python:nightly
+  fast_finish: true

CODE_OF_CONDUCT.md

@@ -0,0 +1 @@
+Please refer to [Project Jupyter's Code of Conduct](https://github.com/jupyter/governance/blob/master/conduct/code_of_conduct.md).

CONTRIBUTING.md

@@ -1,3 +1,131 @@
-# Contributing
+# Contributing to JupyterHub
 
-We mainly follow the [IPython Contributing Guide](https://github.com/ipython/ipython/blob/master/CONTRIBUTING.md).
+Welcome! As a [Jupyter](https://jupyter.org) project,
+you can follow the [Jupyter contributor guide](https://jupyter.readthedocs.io/en/latest/contributor/content-contributor.html).
+
+Make sure to also follow [Project Jupyter's Code of Conduct](https://github.com/jupyter/governance/blob/master/conduct/code_of_conduct.md)
+for a friendly and welcoming collaborative environment.
+
+## Setting up a development environment
+
+JupyterHub requires Python >= 3.5 and nodejs.
+
+As a Python project, a development install of JupyterHub follows standard practices for the basics (steps 1-2).
+
+
+1. clone the repo
+    ```bash
+    git clone https://github.com/jupyterhub/jupyterhub
+    ```
+2. do a development install with pip
+
+    ```bash
+    cd jupyterhub
+    python3 -m pip install --editable .
+    ```
+3. install the development requirements,
+   which include things like testing tools
+
+    ```bash
+    python3 -m pip install -r dev-requirements.txt
+    ```
+4. install configurable-http-proxy with npm:
+
+    ```bash
+    npm install -g configurable-http-proxy
+    ```
+5. set up pre-commit hooks for automatic code formatting, etc.
+
+    ```bash
+    pre-commit install
+    ```
+
+    You can also invoke the pre-commit hook manually at any time with
+
+    ```bash
+    pre-commit run
+    ```
+
+## Contributing
+
+JupyterHub has adopted automatic code formatting so you shouldn't
+need to worry too much about your code style.
+As long as your code is valid,
+the pre-commit hook should take care of how it should look.
+You can invoke the pre-commit hook by hand at any time with:
+
+```bash
+pre-commit run
+```
+
+which should run any autoformatting on your code
+and tell you about any errors it couldn't fix automatically.
+You may also install [black integration](https://github.com/ambv/black#editor-integration)
+into your text editor to format code automatically.
+
+If you have already committed files before setting up the pre-commit
+hook with `pre-commit install`, you can fix everything up using
+`pre-commit run --all-files`.  You need to make the fixing commit
+yourself after that.
+
+## Testing
+
+It's a good idea to write tests to exercise any new features,
+or that trigger any bugs that you have fixed to catch regressions.
+
+You can run the tests with:
+
+```bash
+pytest -v
+```
+
+in the repo directory. If you want to just run certain tests,
+check out the [pytest docs](https://pytest.readthedocs.io/en/latest/usage.html)
+for how pytest can be called.
+For instance, to test only spawner-related things in the REST API:
+
+```bash
+pytest -v -k spawn jupyterhub/tests/test_api.py
+```
+
+The tests live in `jupyterhub/tests` and are organized roughly into:
+
+1. `test_api.py` tests the REST API
+2. `test_pages.py` tests loading the HTML pages
+
+and other collections of tests for different components.
+When writing a new test, there should usually be a test of
+similar functionality already written and related tests should
+be added nearby.
+
+The fixtures live in `jupyterhub/tests/conftest.py`. There are
+fixtures that can be used for JupyterHub components, such as:
+
+- `app`: an instance of JupyterHub with mocked parts
+- `auth_state_enabled`: enables persisting auth_state (like authentication tokens)
+- `db`: a sqlite in-memory DB session
+- `io_loop`: a Tornado event loop
+- `event_loop`: a new asyncio event loop
+- `user`: creates a new temporary user
+- `admin_user`: creates a new temporary admin user
+- single user servers
+  - `cleanup_after`: allows cleanup of single user servers between tests
+- mocked service
+  - `MockServiceSpawner`: a spawner that mocks services for testing with a short poll interval
+  - `mockservice`: mocked service with no external service url
+  - `mockservice_url`: mocked service with a url to test external services
+
+And fixtures to add functionality or spawning behavior:
+
+- `admin_access`: grants admin access
+- `no_patience`: sets slow-spawning timeouts to zero
+- `slow_spawn`: enables the SlowSpawner (a spawner that takes a few seconds to start)
+- `never_spawn`: enables the NeverSpawner (a spawner that will never start)
+- `bad_spawn`: enables the BadSpawner (a spawner that fails immediately)
+- `slow_bad_spawn`: enables the SlowBadSpawner (a spawner that fails after a short delay)
+
+To read more about fixtures check out the
+[pytest docs](https://docs.pytest.org/en/latest/fixture.html)
+for how to use the existing fixtures, and how to create new ones.
+
+When in doubt, feel free to ask.

Dockerfile

@@ -21,42 +21,84 @@
 # your jupyterhub_config.py will be added automatically
 # from your docker directory.
 
-FROM debian:jessie
-MAINTAINER Jupyter Project <jupyter@googlegroups.com>
+# https://github.com/tianon/docker-brew-ubuntu-core/commit/d4313e13366d24a97bd178db4450f63e221803f1
+ARG BASE_IMAGE=ubuntu:bionic-20191029@sha256:6e9f67fa63b0323e9a1e587fd71c561ba48a034504fb804fd26fd8800039835d
+FROM $BASE_IMAGE AS builder
+
+USER root
 
-# install nodejs, utf8 locale, set CDN because default httpredir is unreliable
 ENV DEBIAN_FRONTEND noninteractive
-RUN REPO=http://cdn-fastly.deb.debian.org && \
-    echo "deb $REPO/debian jessie main\ndeb $REPO/debian-security jessie/updates main" > /etc/apt/sources.list && \
-    apt-get -y update && \
-    apt-get -y upgrade && \
-    apt-get -y install wget locales git bzip2 &&\
-    /usr/sbin/update-locale LANG=C.UTF-8 && \
-    locale-gen C.UTF-8 && \
-    apt-get remove -y locales && \
-    apt-get clean && \
-    rm -rf /var/lib/apt/lists/*
-ENV LANG C.UTF-8
+RUN apt-get update \
+ && apt-get install -yq --no-install-recommends \
+    build-essential \
+    ca-certificates \
+    locales \
+    python3-dev \
+    python3-pip \
+    python3-pycurl \
+    nodejs \
+    npm \
+ && apt-get clean \
+ && rm -rf /var/lib/apt/lists/*
 
-# install Python + NodeJS with conda
-RUN wget -q https://repo.continuum.io/miniconda/Miniconda3-4.2.12-Linux-x86_64.sh -O /tmp/miniconda.sh  && \
-    echo 'd0c7c71cc5659e54ab51f2005a8d96f3 */tmp/miniconda.sh' | md5sum -c - && \
-    bash /tmp/miniconda.sh -f -b -p /opt/conda && \
-    /opt/conda/bin/conda install --yes -c conda-forge python=3.5 sqlalchemy tornado jinja2 traitlets requests pip nodejs configurable-http-proxy && \
-    /opt/conda/bin/pip install --upgrade pip && \
-    rm /tmp/miniconda.sh
-ENV PATH=/opt/conda/bin:$PATH
+# copy only what we need to avoid unnecessary rebuilds
+COPY package.json \
+     pyproject.toml \
+     README.md \
+     requirements.txt \
+     setup.py \
+     /src/jupyterhub/
+COPY jupyterhub/ /src/jupyterhub/jupyterhub
+COPY share/ /src/jupyterhub/share
 
-ADD . /src/jupyterhub
 WORKDIR /src/jupyterhub
+RUN python3 -m pip install --upgrade setuptools pip wheel
+RUN python3 -m pip wheel -v --wheel-dir wheelhouse .
 
-RUN python setup.py js && pip install . && \
-    rm -rf $PWD ~/.cache ~/.npm
+
+FROM $BASE_IMAGE
+
+USER root
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+RUN apt-get update \
+ && apt-get install -yq --no-install-recommends \
+    ca-certificates \
+    curl \
+    gnupg \
+    locales \
+    python3-pip \
+    python3-pycurl \
+    nodejs \
+    npm \
+ && apt-get clean \
+ && rm -rf /var/lib/apt/lists/*
+
+ENV SHELL=/bin/bash \
+    LC_ALL=en_US.UTF-8 \
+    LANG=en_US.UTF-8 \
+    LANGUAGE=en_US.UTF-8
+
+RUN  locale-gen $LC_ALL
+
+# always make sure pip is up to date!
+RUN python3 -m pip install --no-cache --upgrade setuptools pip
+
+RUN npm install -g configurable-http-proxy@^4.2.0 \
+ && rm -rf ~/.npm
+
+# install the wheels we built in the first stage
+COPY --from=builder /src/jupyterhub/wheelhouse /tmp/wheelhouse
+COPY --from=builder /src/jupyterhub/share /src/jupyterhub/share
+RUN python3 -m pip install --no-cache /tmp/wheelhouse/*
 
 RUN mkdir -p /srv/jupyterhub/
 WORKDIR /srv/jupyterhub/
+
 EXPOSE 8000
 
+LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
 LABEL org.jupyter.service="jupyterhub"
 
 CMD ["jupyterhub"]

MANIFEST.in

@@ -1,8 +1,9 @@
 include README.md
 include COPYING.md
 include setupegg.py
-include bower.json
+include bower-lite
 include package.json
+include package-lock.json
 include *requirements.txt
 include Dockerfile
 
@@ -10,20 +11,23 @@ graft onbuild
 graft jupyterhub
 graft scripts
 graft share
+graft singleuser
+graft ci
 
 # Documentation
 graft docs
 prune docs/node_modules
 
 # prune some large unused files from components
-prune share/jupyter/hub/static/components/bootstrap/css
-exclude share/jupyter/hub/static/components/components/fonts/*.svg
-exclude share/jupyter/hub/static/components/bootstrap/less/*.js
-exclude share/jupyter/hub/static/components/font-awesome/css
-exclude share/jupyter/hub/static/components/font-awesome/fonts/*.svg
-exclude share/jupyter/hub/static/components/jquery/*migrate*.js
-prune share/jupyter/hub/static/components/moment/lang
-prune share/jupyter/hub/static/components/moment/min
+prune share/jupyterhub/static/components/bootstrap/dist/css
+exclude share/jupyterhub/static/components/bootstrap/dist/fonts/*.svg
+prune share/jupyterhub/static/components/font-awesome/css
+prune share/jupyterhub/static/components/font-awesome/scss
+exclude share/jupyterhub/static/components/font-awesome/fonts/*.svg
+prune share/jupyterhub/static/components/jquery/external
+prune share/jupyterhub/static/components/jquery/src
+prune share/jupyterhub/static/components/moment/lang
+prune share/jupyterhub/static/components/moment/min
 
 # Patterns to exclude from any directory
 global-exclude *~

README.md

@@ -1,210 +1,259 @@
-**[Technical overview](#technical-overview)** |
-**[Prerequisites](#prerequisites)** |
+**[Technical Overview](#technical-overview)** |
 **[Installation](#installation)** |
-**[Running the Hub Server](#running-the-hub-server)** |
 **[Configuration](#configuration)** |
 **[Docker](#docker)** |
 **[Contributing](#contributing)** |
 **[License](#license)** |
-**[Getting help](#getting-help)**
+**[Help and Resources](#help-and-resources)**
+
 
 # [JupyterHub](https://github.com/jupyterhub/jupyterhub)
 
-[![Build Status](https://travis-ci.org/jupyterhub/jupyterhub.svg?branch=master)](https://travis-ci.org/jupyterhub/jupyterhub)
-[![Circle CI](https://circleci.com/gh/jupyterhub/jupyterhub.svg?style=shield&circle-token=b5b65862eb2617b9a8d39e79340b0a6b816da8cc)](https://circleci.com/gh/jupyterhub/jupyterhub)
-[![codecov.io](https://codecov.io/github/jupyterhub/jupyterhub/coverage.svg?branch=master)](https://codecov.io/github/jupyterhub/jupyterhub?branch=master)
-"
-[![Documentation Status](https://readthedocs.org/projects/jupyterhub/badge/?version=latest)](http://jupyterhub.readthedocs.org/en/latest/?badge=latest)
-"
-[![Google Group](https://img.shields.io/badge/-Google%20Group-lightgrey.svg)](https://groups.google.com/forum/#!forum/jupyter)
+
+[![Latest PyPI version](https://img.shields.io/pypi/v/jupyterhub?logo=pypi)](https://pypi.python.org/pypi/jupyterhub)
+[![Latest conda-forge version](https://img.shields.io/conda/vn/conda-forge/jupyterhub?logo=conda-forge)](https://www.npmjs.com/package/jupyterhub)
+[![Documentation build status](https://img.shields.io/readthedocs/jupyterhub?logo=read-the-docs)](https://jupyterhub.readthedocs.org/en/latest/)
+[![TravisCI build status](https://img.shields.io/travis/jupyterhub/jupyterhub/master?logo=travis)](https://travis-ci.org/jupyterhub/jupyterhub)
+[![DockerHub build status](https://img.shields.io/docker/build/jupyterhub/jupyterhub?logo=docker&label=build)](https://hub.docker.com/r/jupyterhub/jupyterhub/tags)
+[![CircleCI build status](https://img.shields.io/circleci/build/github/jupyterhub/jupyterhub?logo=circleci)](https://circleci.com/gh/jupyterhub/jupyterhub)<!-- CircleCI Token: b5b65862eb2617b9a8d39e79340b0a6b816da8cc -->
+[![Test coverage of code](https://codecov.io/gh/jupyterhub/jupyterhub/branch/master/graph/badge.svg)](https://codecov.io/gh/jupyterhub/jupyterhub)
+[![GitHub](https://img.shields.io/badge/issue_tracking-github-blue?logo=github)](https://github.com/jupyterhub/jupyterhub/issues)
+[![Discourse](https://img.shields.io/badge/help_forum-discourse-blue?logo=discourse)](https://discourse.jupyter.org/c/jupyterhub)
+[![Gitter](https://img.shields.io/badge/social_chat-gitter-blue?logo=gitter)](https://gitter.im/jupyterhub/jupyterhub)
 
 With [JupyterHub](https://jupyterhub.readthedocs.io) you can create a
 **multi-user Hub** which spawns, manages, and proxies multiple instances of the
-single-user [Jupyter notebook *(IPython notebook)* ](https://jupyter-notebook.readthedocs.io) server.
+single-user [Jupyter notebook](https://jupyter-notebook.readthedocs.io)
+server.
 
-JupyterHub provides **single-user notebook servers to many users**. For example,
-JupyterHub could serve notebooks to a class of students, a corporate
-workgroup, or a science research group.
-
-by [Project Jupyter](https://jupyter.org)
-
-----
+[Project Jupyter](https://jupyter.org) created JupyterHub to support many
+users. The Hub can offer notebook servers to a class of students, a corporate
+data science workgroup, a scientific research project, or a high performance
+computing group.
 
 ## Technical overview
+
 Three main actors make up JupyterHub:
 
 - multi-user **Hub** (tornado process)
 - configurable http **proxy** (node-http-proxy)
-- multiple **single-user Jupyter notebook servers** (Python/IPython/tornado)
+- multiple **single-user Jupyter notebook servers** (Python/Jupyter/tornado)
 
-JupyterHub's basic principles for operation are:
+Basic principles for operation are:
 
-- Hub spawns a proxy
-- Proxy forwards all requests to Hub by default
-- Hub handles login, and spawns single-user servers on demand
-- Hub configures proxy to forward url prefixes to the single-user servers
+- Hub launches a proxy.
+- Proxy forwards all requests to Hub by default.
+- Hub handles login, and spawns single-user servers on demand.
+- Hub configures proxy to forward url prefixes to the single-user notebook
+  servers.
 
 JupyterHub also provides a
 [REST API](http://petstore.swagger.io/?url=https://raw.githubusercontent.com/jupyter/jupyterhub/master/docs/rest-api.yml#/default)
-for administration of the Hub and users.
-
-----
-
-## Prerequisites
-Before installing JupyterHub, you need:
-
-- [Python](https://www.python.org/downloads/) 3.3 or greater
-
-  An understanding of using [`pip`](https://pip.pypa.io/en/stable/) for installing
-  Python packages is recommended.
-
-- [nodejs/npm](https://www.npmjs.com/)
-
-  [Install nodejs/npm](https://docs.npmjs.com/getting-started/installing-node), which is available from your
-  package manager. For example, install on Linux (Debian/Ubuntu) using:
-
-      sudo apt-get install npm nodejs-legacy
-
-  (The `nodejs-legacy` package installs the `node` executable and is currently
-  required for npm to work on Debian/Ubuntu.)
-
-- TLS certificate and key for HTTPS communication
-
-- Domain name
-
-Before running the single-user notebook servers (which may be on the same system as the Hub or not):
-
-- [Jupyter Notebook](https://jupyter.readthedocs.io/en/latest/install.html) version 4 or greater
+for administration of the Hub and its users.
 
 ## Installation
+
+
+### Check prerequisites
+
+- A Linux/Unix based system
+- [Python](https://www.python.org/downloads/) 3.5 or greater
+- [nodejs/npm](https://www.npmjs.com/)
+
+  * If you are using **`conda`**, the nodejs and npm dependencies will be installed for
+    you by conda.
+
+  * If you are using **`pip`**, install a recent version of
+    [nodejs/npm](https://docs.npmjs.com/getting-started/installing-node).
+    For example, install it on Linux (Debian/Ubuntu) using:
+
+    ```
+    sudo apt-get install npm nodejs-legacy
+    ```
+
+    The `nodejs-legacy` package installs the `node` executable and is currently
+    required for npm to work on Debian/Ubuntu.
+
+- TLS certificate and key for HTTPS communication
+- Domain name
+
+### Install packages
+
+#### Using `conda`
+
+To install JupyterHub along with its dependencies including nodejs/npm:
+
+```bash
+conda install -c conda-forge jupyterhub
+```
+
+If you plan to run notebook servers locally, install the Jupyter notebook
+or JupyterLab:
+
+```bash
+conda install notebook
+conda install jupyterlab
+```
+
+#### Using `pip`
+
 JupyterHub can be installed with `pip`, and the proxy with `npm`:
 
 ```bash
 npm install -g configurable-http-proxy
-pip3 install jupyterhub    
+python3 -m pip install jupyterhub    
 ```
 
 If you plan to run notebook servers locally, you will need to install the
-Jupyter notebook:
+[Jupyter notebook](https://jupyter.readthedocs.io/en/latest/install.html)
+package:
 
-    pip3 install --upgrade notebook
+    python3 -m pip install --upgrade notebook
+
+### Run the Hub server
 
-## Running the Hub server
 To start the Hub server, run the command:
 
     jupyterhub
 
-Visit `https://localhost:8000` in your browser, and sign in with your unix credentials.
+Visit `https://localhost:8000` in your browser, and sign in with your unix
+PAM credentials.
 
-To allow multiple users to sign into the server, you will need to
+*Note*: To allow multiple users to sign into the server, you will need to
 run the `jupyterhub` command as a *privileged user*, such as root.
 The [wiki](https://github.com/jupyterhub/jupyterhub/wiki/Using-sudo-to-run-JupyterHub-without-root-privileges)
-describes how to run the server as a *less privileged user*, which requires more
-configuration of the system.
-
-----
+describes how to run the server as a *less privileged user*, which requires
+more configuration of the system.
 
 ## Configuration
-The [getting started document](docs/source/getting-started.md) contains the
-basics of configuring a JupyterHub deployment.
 
-The JupyterHub **tutorial** provides a video and documentation that explains and illustrates the fundamental steps for installation and configuration. [Repo](https://github.com/jupyterhub/jupyterhub-tutorial)
-| [Tutorial documentation](http://jupyterhub-tutorial.readthedocs.io/en/latest/)
+The [Getting Started](https://jupyterhub.readthedocs.io/en/latest/getting-started/index.html) section of the
+documentation explains the common steps in setting up JupyterHub.
 
-#### Generate a default configuration file
-Generate a default config file:
+The [**JupyterHub tutorial**](https://github.com/jupyterhub/jupyterhub-tutorial)
+provides an in-depth video and sample configurations of JupyterHub.
+
+### Create a configuration file
+
+To generate a default config file with settings and descriptions:
 
     jupyterhub --generate-config
 
-#### Customize the configuration, authentication, and process spawning
-Spawn the server on ``10.0.1.2:443`` with **https**:
+### Start the Hub
+
+To start the Hub on a specific url and port ``10.0.1.2:443`` with **https**:
 
     jupyterhub --ip 10.0.1.2 --port 443 --ssl-key my_ssl.key --ssl-cert my_ssl.cert
 
-The authentication and process spawning mechanisms can be replaced,
-which should allow plugging into a variety of authentication or process control environments.
-Some examples, meant as illustration and testing of this concept:
+### Authenticators
 
-- Using GitHub OAuth instead of PAM with [OAuthenticator](https://github.com/jupyterhub/oauthenticator)
-- Spawning single-user servers with Docker, using the [DockerSpawner](https://github.com/jupyterhub/dockerspawner)
+| Authenticator                                                                | Description                                       |
+| ---------------------------------------------------------------------------- | ------------------------------------------------- |
+| PAMAuthenticator                                                             | Default, built-in authenticator                   |
+| [OAuthenticator](https://github.com/jupyterhub/oauthenticator)               | OAuth + JupyterHub Authenticator = OAuthenticator |
+| [ldapauthenticator](https://github.com/jupyterhub/ldapauthenticator)         | Simple LDAP Authenticator Plugin for JupyterHub   |
+| [kerberosauthenticator](https://github.com/jupyterhub/kerberosauthenticator) | Kerberos Authenticator Plugin for JupyterHub      |
 
-----
+### Spawners
+
+| Spawner                                                        | Description                                                                |
+| -------------------------------------------------------------- | -------------------------------------------------------------------------- |
+| LocalProcessSpawner                                            | Default, built-in spawner starts single-user servers as local processes    |
+| [dockerspawner](https://github.com/jupyterhub/dockerspawner)   | Spawn single-user servers in Docker containers                             |
+| [kubespawner](https://github.com/jupyterhub/kubespawner)       | Kubernetes spawner for JupyterHub                                          |
+| [sudospawner](https://github.com/jupyterhub/sudospawner)       | Spawn single-user servers without being root                               |
+| [systemdspawner](https://github.com/jupyterhub/systemdspawner) | Spawn single-user notebook servers using systemd                           |
+| [batchspawner](https://github.com/jupyterhub/batchspawner)     | Designed for clusters using batch scheduling software                      |
+| [yarnspawner](https://github.com/jupyterhub/yarnspawner)       | Spawn single-user notebook servers distributed on a Hadoop cluster         |
+| [wrapspawner](https://github.com/jupyterhub/wrapspawner)       | WrapSpawner and ProfilesSpawner enabling runtime configuration of spawners |
 
 ## Docker
-A starter [docker image for JupyterHub](https://hub.docker.com/r/jupyterhub/jupyterhub/) gives a baseline deployment of JupyterHub.
 
-**Important:** This `jupyterhub/jupyterhub` image contains only the Hub itself, with no configuration. In general, one needs
-to make a derivative image, with at least a `jupyterhub_config.py` setting up an Authenticator and/or a Spawner. To run the
-single-user servers, which may be on the same system as the Hub or not, Jupyter Notebook version 4 or greater must be installed.
+A starter [**docker image for JupyterHub**](https://hub.docker.com/r/jupyterhub/jupyterhub/)
+gives a baseline deployment of JupyterHub using Docker.
+
+**Important:** This `jupyterhub/jupyterhub` image contains only the Hub itself,
+with no configuration. In general, one needs to make a derivative image, with
+at least a `jupyterhub_config.py` setting up an Authenticator and/or a Spawner.
+To run the single-user servers, which may be on the same system as the Hub or
+not, Jupyter Notebook version 4 or greater must be installed.
 
-#### Starting JupyterHub with docker
 The JupyterHub docker image can be started with the following command:
 
-    docker run -d --name jupyterhub jupyterhub/jupyterhub jupyterhub
+    docker run -p 8000:8000 -d --name jupyterhub jupyterhub/jupyterhub jupyterhub
 
-This command will create a container named `jupyterhub` that you can **stop and resume** with `docker stop/start`.
+This command will create a container named `jupyterhub` that you can
+**stop and resume** with `docker stop/start`.
 
-The Hub service will be listening on all interfaces at port 8000, which makes this a good choice for **testing JupyterHub on your desktop or laptop**.
+The Hub service will be listening on all interfaces at port 8000, which makes
+this a good choice for **testing JupyterHub on your desktop or laptop**.
 
-If you want to run docker on a computer that has a public IP then you should (as in MUST) **secure it with ssl** by
-adding ssl options to your docker configuration or using a ssl enabled proxy.
+If you want to run docker on a computer that has a public IP then you should
+(as in MUST) **secure it with ssl** by adding ssl options to your docker
+configuration or by using a ssl enabled proxy.
 
-[Mounting volumes](https://docs.docker.com/engine/userguide/containers/dockervolumes/) will
+[Mounting volumes](https://docs.docker.com/engine/admin/volumes/volumes/) will
 allow you to **store data outside the docker image (host system) so it will be persistent**, even when you start
 a new image.
 
 The command `docker exec -it jupyterhub bash` will spawn a root shell in your docker
-container. You can **use the root shell to create system users in the container**. These accounts will be used for authentication
-in JupyterHub's default configuration.
-
-----
+container. You can **use the root shell to create system users in the container**.
+These accounts will be used for authentication in JupyterHub's default configuration.
 
 ## Contributing
-If you would like to contribute to the project, please read our [contributor documentation](http://jupyter.readthedocs.io/en/latest/contributor/content-contributor.html) and the [`CONTRIBUTING.md`](CONTRIBUTING.md).
 
-For a **development install**, clone the [repository](https://github.com/jupyterhub/jupyterhub) and then install from source:
+If you would like to contribute to the project, please read our
+[contributor documentation](http://jupyter.readthedocs.io/en/latest/contributor/content-contributor.html)
+and the [`CONTRIBUTING.md`](CONTRIBUTING.md). The `CONTRIBUTING.md` file
+explains how to set up a development installation, how to run the test suite,
+and how to contribute to documentation.
 
-```bash
-git clone https://github.com/jupyterhub/jupyterhub
-cd jupyterhub
-pip3 install -r dev-requirements.txt -e .
-```
+For a high-level view of the vision and next directions of the project, see the
+[JupyterHub community roadmap](docs/source/contributing/roadmap.md).
 
-If the `pip3 install` command fails and complains about `lessc` being unavailable, you may need to explicitly install some additional JavaScript dependencies:
+### A note about platform support
 
-    npm install
+JupyterHub is supported on Linux/Unix based systems.
 
-This will fetch client-side JavaScript dependencies necessary to compile CSS.
+JupyterHub officially **does not** support Windows. You may be able to use
+JupyterHub on Windows if you use a Spawner and Authenticator that work on
+Windows, but the JupyterHub defaults will not. Bugs reported on Windows will not
+be accepted, and the test suite will not run on Windows. Small patches that fix
+minor Windows compatibility issues (such as basic installation) **may** be accepted,
+however. For Windows-based systems, we would recommend running JupyterHub in a
+docker container or Linux VM.
 
-You may also need to manually update JavaScript and CSS after some development updates, with:
+[Additional Reference:](http://www.tornadoweb.org/en/stable/#installation) Tornado's documentation on Windows platform support
 
-```bash
-python3 setup.py js    # fetch updated client-side js
-python3 setup.py css   # recompile CSS from LESS sources
-```
-
-We use [pytest](http://doc.pytest.org/en/latest/) for testing. To run tests:
-
-```bash
-pytest jupyterhub/tests
-```
-
-----
 ## License
+
 We use a shared copyright model that enables all contributors to maintain the
 copyright on their contributions.
 
 All code is licensed under the terms of the revised BSD license.
 
-## Getting help
-We encourage you to ask questions on the [mailing list](https://groups.google.com/forum/#!forum/jupyter),
-and you may participate in development discussions or get live help on [Gitter](https://gitter.im/jupyterhub/jupyterhub).
+## Help and resources
+
+We encourage you to ask questions on the [Jupyter mailing list](https://groups.google.com/forum/#!forum/jupyter).
+To participate in development discussions or get help, talk with us on
+our JupyterHub [Gitter](https://gitter.im/jupyterhub/jupyterhub) channel.
 
-## Resources
 - [Reporting Issues](https://github.com/jupyterhub/jupyterhub/issues)
-- JupyterHub tutorial | [Repo](https://github.com/jupyterhub/jupyterhub-tutorial)
-  | [Tutorial documentation](http://jupyterhub-tutorial.readthedocs.io/en/latest/)
-- [Documentation for JupyterHub](http://jupyterhub.readthedocs.io/en/latest/) | [PDF (latest)](https://media.readthedocs.org/pdf/jupyterhub/latest/jupyterhub.pdf) | [PDF (stable)](https://media.readthedocs.org/pdf/jupyterhub/stable/jupyterhub.pdf)
+- [JupyterHub tutorial](https://github.com/jupyterhub/jupyterhub-tutorial)
+- [Documentation for JupyterHub](https://jupyterhub.readthedocs.io/en/latest/) | [PDF (latest)](https://media.readthedocs.org/pdf/jupyterhub/latest/jupyterhub.pdf) | [PDF (stable)](https://media.readthedocs.org/pdf/jupyterhub/stable/jupyterhub.pdf)
 - [Documentation for JupyterHub's REST API](http://petstore.swagger.io/?url=https://raw.githubusercontent.com/jupyter/jupyterhub/master/docs/rest-api.yml#/default)
 - [Documentation for Project Jupyter](http://jupyter.readthedocs.io/en/latest/index.html) | [PDF](https://media.readthedocs.org/pdf/jupyter/latest/jupyter.pdf)
 - [Project Jupyter website](https://jupyter.org)
+- [Project Jupyter community](https://jupyter.org/community)
+
+JupyterHub follows the Jupyter [Community Guides](https://jupyter.readthedocs.io/en/latest/community/content-community.html).
+
+---
+
+**[Technical Overview](#technical-overview)** |
+**[Installation](#installation)** |
+**[Configuration](#configuration)** |
+**[Docker](#docker)** |
+**[Contributing](#contributing)** |
+**[License](#license)** |
+**[Help and Resources](#help-and-resources)**

bower-lite

@@ -0,0 +1,33 @@
+#!/usr/bin/env python
+# Copyright (c) Jupyter Development Team.
+# Distributed under the terms of the Modified BSD License.
+"""
+bower-lite
+
+Since Bower's on its way out,
+stage frontend dependencies from node_modules into components
+"""
+import json
+import os
+import shutil
+from os.path import join
+
+HERE = os.path.abspath(os.path.dirname(__file__))
+
+
+components = join(HERE, "share", "jupyterhub", "static", "components")
+node_modules = join(HERE, "node_modules")
+
+if os.path.exists(components):
+    shutil.rmtree(components)
+os.mkdir(components)
+
+with open(join(HERE, 'package.json')) as f:
+    package_json = json.load(f)
+
+dependencies = package_json['dependencies']
+for dep in dependencies:
+    src = join(node_modules, dep)
+    dest = join(components, dep)
+    print("%s -> %s" % (src, dest))
+    shutil.copytree(src, dest)

bower.json

@@ -1,11 +0,0 @@
-{
-  "name": "jupyterhub-deps",
-  "version": "0.0.0",
-  "dependencies": {
-    "bootstrap": "components/bootstrap#~3.1",
-    "font-awesome": "components/font-awesome#~4.1",
-    "jquery": "components/jquery#~2.0",
-    "moment": "~2.7",
-    "requirejs": "~2.1"
-  }
-}

ci/docker-db.sh

@@ -0,0 +1,59 @@
+#!/usr/bin/env bash
+# source this file to setup postgres and mysql
+# for local testing (as similar as possible to docker)
+
+set -eu
+
+export MYSQL_HOST=127.0.0.1
+export MYSQL_TCP_PORT=${MYSQL_TCP_PORT:-13306}
+export PGHOST=127.0.0.1
+NAME="hub-test-$DB"
+DOCKER_RUN="docker run -d --name $NAME"
+
+docker rm -f "$NAME" 2>/dev/null || true
+
+case "$DB" in
+"mysql")
+  RUN_ARGS="-e MYSQL_ALLOW_EMPTY_PASSWORD=1 -p $MYSQL_TCP_PORT:3306 mysql:5.7"
+  CHECK="mysql --host $MYSQL_HOST --port $MYSQL_TCP_PORT --user root -e \q"
+  ;;
+"postgres")
+  RUN_ARGS="-p 5432:5432 postgres:9.5"
+  CHECK="psql --user postgres -c \q"
+  ;;
+*)
+  echo '$DB must be mysql or postgres'
+  exit 1
+esac
+
+$DOCKER_RUN $RUN_ARGS
+
+echo -n "waiting for $DB "
+for i in {1..60}; do
+  if $CHECK; then
+    echo 'done'
+    break
+  else
+    echo -n '.'
+    sleep 1
+  fi
+done
+$CHECK
+
+case "$DB" in
+"mysql")
+  ;;
+"postgres")
+  # create the user
+  psql --user postgres -c "CREATE USER $PGUSER WITH PASSWORD '$PGPASSWORD';"
+  ;;
+*)
+esac
+
+echo -e "
+Set these environment variables:
+
+    export MYSQL_HOST=127.0.0.1
+    export MYSQL_TCP_PORT=$MYSQL_TCP_PORT
+    export PGHOST=127.0.0.1
+"

ci/init-db.sh

@@ -0,0 +1,27 @@
+#!/usr/bin/env bash
+# initialize jupyterhub databases for testing
+
+set -eu
+
+MYSQL="mysql --user root --host $MYSQL_HOST --port $MYSQL_TCP_PORT -e "
+PSQL="psql --user postgres -c "
+
+case "$DB" in
+"mysql")
+  EXTRA_CREATE='CHARACTER SET utf8 COLLATE utf8_general_ci'
+  SQL="$MYSQL"
+  ;;
+"postgres")
+  SQL="$PSQL"
+  ;;
+*)
+  echo '$DB must be mysql or postgres'
+  exit 1
+esac
+
+set -x
+
+for SUFFIX in '' _upgrade_072 _upgrade_081 _upgrade_094; do
+    $SQL "DROP DATABASE jupyterhub${SUFFIX};" 2>/dev/null || true
+    $SQL "CREATE DATABASE jupyterhub${SUFFIX} ${EXTRA_CREATE:-};"
+done

circle.yml

@@ -1,24 +0,0 @@
-machine:
-  services:
-    - docker
-
-dependencies:
-  override:
-    - ls
-
-test:
-  override:
-    - docker build -t jupyterhub/jupyterhub .
-    - docker build -t jupyterhub/jupyterhub-onbuild:${CIRCLE_TAG:-latest} onbuild
-
-deployment:
-  hub:
-    branch: master
-    commands:
-      - docker login -u $DOCKER_USER -p $DOCKER_PASS -e unused@example.com
-      - docker push jupyterhub/jupyterhub-onbuild
-  release:
-    tag: /.*/
-    commands:
-      - docker login -u $DOCKER_USER -p $DOCKER_PASS -e unused@example.com
-      - docker push jupyterhub/jupyterhub-onbuild:$CIRCLE_TAG

dev-requirements.txt

@@ -1,7 +1,20 @@
 -r requirements.txt
-mock
+# temporary pin of attrs for jsonschema 0.3.0a1
+# seems to be a pip bug
+attrs>=17.4.0
+beautifulsoup4
 codecov
-pytest-cov
-pytest>=2.8
+coverage
+cryptography
+html5lib  # needed for beautifulsoup
+mock
 notebook
+pre-commit
+pytest-asyncio
+pytest-cov
+pytest>=3.3
 requests-mock
+# blacklist urllib3 releases affected by https://github.com/urllib3/urllib3/issues/1683
+# I *think* this should only affect testing, not production
+urllib3!=1.25.4,!=1.25.5
+virtualenv

dockerfiles/Dockerfile.alpine

@@ -0,0 +1,9 @@
+FROM python:3.6.3-alpine3.6
+
+ARG JUPYTERHUB_VERSION=0.8.1
+
+RUN pip3 install --no-cache jupyterhub==${JUPYTERHUB_VERSION}
+ENV LANG=en_US.UTF-8
+
+USER nobody
+CMD ["jupyterhub"]

dockerfiles/README.md

@@ -0,0 +1,20 @@
+## What is Dockerfile.alpine
+Dockerfile.alpine  contains base image for jupyterhub. It does not work independently, but only as part of a full jupyterhub cluster
+
+## How to use it?
+
+1. A running configurable-http-proxy, whose API is accessible. 
+2. A jupyterhub_config file.
+3. Authentication and other libraries required by the specific jupyterhub_config file.
+
+
+## Steps to test it outside a cluster
+
+* start configurable-http-proxy in another container
+* specify CONFIGPROXY_AUTH_TOKEN env in both containers
+* put both containers on the same network (e.g. docker network create jupyterhub; docker run ... --net jupyterhub)
+* tell jupyterhub where CHP is (e.g. c.ConfigurableHTTPProxy.api_url = 'http://chp:8001')
+* tell jupyterhub not to start the proxy itself (c.ConfigurableHTTPProxy.should_start = False)
+* Use dummy authenticator for ease of testing. Update following in jupyterhub_config file
+    - c.JupyterHub.authenticator_class = 'dummyauthenticator.DummyAuthenticator'
+    - c.DummyAuthenticator.password = "your strong password"

docs/Makefile

@@ -2,7 +2,7 @@
 #
 
 # You can set these variables from the command line.
-SPHINXOPTS    =
+SPHINXOPTS    = "-W"
 SPHINXBUILD   = sphinx-build
 PAPER         =
 BUILDDIR      = build

docs/environment.yml

@@ -1,16 +1,20 @@
+# ReadTheDocs uses the `environment.yaml` so make sure to update that as well
+# if you change the dependencies of JupyterHub in the various `requirements.txt`
 name: jhub_docs
 channels:
   - conda-forge
 dependencies:
+- pip
 - nodejs
-- python=3
+- python=3.6
+- alembic
 - jinja2
 - pamela
+- recommonmark==0.6.0
 - requests
 - sqlalchemy>=1
-- tornado>=4.1
+- tornado>=5.0
 - traitlets>=4.1
-- sphinx>=1.3.6
-- sphinx_rtd_theme
+- sphinx>=1.7
 - pip:
-    - recommonmark==0.4.0
+  - -r requirements.txt

docs/package.json

@@ -1,6 +1,6 @@
 {
   "name": "jupyterhub-docs-build",
-  "version": "0.0.0",
+  "version": "0.8.0",
   "description": "build JupyterHub swagger docs",
   "scripts": {
     "rest-api": "bootprint openapi ./rest-api.yml source/_static/rest-api"
@@ -8,7 +8,7 @@
   "author": "",
   "license": "BSD-3-Clause",
   "devDependencies": {
-    "bootprint": "^0.10.0",
-    "bootprint-openapi": "^0.17.0"
+    "bootprint": "^1.0.0",
+    "bootprint-openapi": "^1.0.0"
   }
 }

docs/requirements.txt

@@ -1,3 +1,10 @@
+# ReadTheDocs uses the `environment.yaml` so make sure to update that as well
+# if you change this file
 -r ../requirements.txt
-sphinx>=1.3.6
-recommonmark==0.4.0
+alabaster_jupyterhub
+autodoc-traits
+git+https://github.com/pandas-dev/pandas-sphinx-theme.git@master
+recommonmark==0.5.0
+sphinx-copybutton
+sphinx-jsonschema
+sphinx>=1.7

docs/rest-api.yml

@@ -1,13 +1,13 @@
-# see me at: http://petstore.swagger.io/?url=https://raw.githubusercontent.com/jupyter/jupyterhub/master/docs/rest-api.yml#/default
+# see me at: http://petstore.swagger.io/?url=https://raw.githubusercontent.com/jupyterhub/jupyterhub/master/docs/rest-api.yml#/default
 swagger: '2.0'
 info:
   title: JupyterHub
   description: The REST API for JupyterHub
-  version: 0.7.0
+  version: 0.9.0dev
   license:
     name: BSD-3-Clause
 schemes:
-  - [http, https]
+  [http, https]
 securityDefinitions:
   token:
     type: apiKey
@@ -89,7 +89,7 @@ paths:
     post:
       summary: Create multiple users
       parameters:
-        - name: data
+        - name: body
           in: body
           required: true
           schema:
@@ -147,7 +147,7 @@ paths:
           in: path
           required: true
           type: string
-        - name: data
+        - name: body
           in: body
           required: true
           description: Updated user info. At least one key to be updated (name or admin) is required.
@@ -176,6 +176,63 @@ paths:
       responses:
         '204':
           description: The user has been deleted
+  /users/{name}/activity:
+    post:
+      summary:
+        Notify Hub of activity for a given user.
+      description:
+        Notify the Hub of activity by the user,
+        e.g. accessing a service or (more likely)
+        actively using a server.
+      parameters:
+        - name: name
+          description: username
+          in: path
+          required: true
+          type: string
+        - name: body
+          in: body
+          schema:
+            type: object
+            properties:
+              last_activity:
+                type: string
+                format: date-time
+                description: |
+                  Timestamp of last-seen activity for this user.
+                  Only needed if this is not activity associated
+                  with using a given server.
+              servers:
+                description: |
+                  Register activity for specific servers by name.
+                  The keys of this dict are the names of servers.
+                  The default server has an empty name ('').
+                type: object
+                properties:
+                  '<server name>':
+                    description: |
+                      Activity for a single server.
+                    type: object
+                    required:
+                      - last_activity
+                    properties:
+                      last_activity:
+                        type: string
+                        format: date-time
+                        description: |
+                          Timestamp of last-seen activity on this server.
+            example:
+              last_activity: '2019-02-06T12:54:14Z'
+              servers:
+                '':
+                  last_activity: '2019-02-06T12:54:14Z'
+                gpu:
+                  last_activity: '2019-02-06T12:54:14Z'
+      responses:
+        '401':
+          $ref: '#/responses/Unauthorized'
+        '404':
+          description: No such user
   /users/{name}/server:
     post:
       summary: Start a user's single-user notebook server
@@ -185,6 +242,16 @@ paths:
           in: path
           required: true
           type: string
+        - name: options
+          description: |
+            Spawn options can be passed as a JSON body
+            when spawning via the API instead of spawn form.
+            The structure of the options
+            will depend on the Spawner's configuration.
+          in: body
+          required: false
+          schema:
+            type: object
       responses:
         '201':
           description: The user's notebook server has started
@@ -203,18 +270,134 @@ paths:
           description: The user's notebook server has stopped
         '202':
           description: The user's notebook server has not yet stopped as it is taking a while to stop
-  /users/{name}/admin-access:
+  /users/{name}/servers/{server_name}:
     post:
-      summary: Grant admin access to this user's notebook server
+      summary: Start a user's single-user named-server notebook server
       parameters:
         - name: name
           description: username
           in: path
           required: true
           type: string
+        - name: server_name
+          description: name given to a named-server
+          in: path
+          required: true
+          type: string
+        - name: options
+          description: |
+            Spawn options can be passed as a JSON body
+            when spawning via the API instead of spawn form.
+            The structure of the options
+            will depend on the Spawner's configuration.
+          in: body
+          required: false
+          schema:
+            type: object
+      responses:
+        '201':
+          description: The user's notebook named-server has started
+        '202':
+          description: The user's notebook named-server has not yet started, but has been requested
+    delete:
+      summary: Stop a user's named-server
+      parameters:
+        - name: name
+          description: username
+          in: path
+          required: true
+          type: string
+        - name: server_name
+          description: name given to a named-server
+          in: path
+          required: true
+          type: string
+        - name: remove
+          description: |
+            Whether to fully remove the server, rather than just stop it.
+            Removing a server deletes things like the state of the stopped server.
+          in: body
+          required: false
+          schema:
+            type: boolean
+      responses:
+        '204':
+          description: The user's notebook named-server has stopped
+        '202':
+          description: The user's notebook named-server has not yet stopped as it is taking a while to stop
+  /users/{name}/tokens:
+    parameters:
+      - name: name
+        description: username
+        in: path
+        required: true
+        type: string
+    get:
+      summary: List tokens for the user
       responses:
         '200':
-          description: Sets a cookie granting the requesting administrator access to the user's notebook server
+          description: The list of tokens
+          schema:
+            type: array
+            items:
+              $ref: '#/definitions/Token'
+        '401':
+          $ref: '#/responses/Unauthorized'
+        '404':
+          description: No such user
+    post:
+      summary: Create a new token for the user
+      parameters:
+        - name: token_params
+          in: body
+          required: false
+          schema:
+            type: object
+            properties:
+              expires_in:
+                type: number
+                description: lifetime (in seconds) after which the requested token will expire.
+              note:
+                type: string
+                description: A note attached to the token for future bookkeeping
+      responses:
+        '201':
+          description: The newly created token
+          schema:
+            $ref: '#/definitions/Token'
+        '400':
+          description: Body must be a JSON dict or empty
+  /users/{name}/tokens/{token_id}:
+    parameters:
+      - name: name
+        description: username
+        in: path
+        required: true
+        type: string
+      - name: token_id
+        in: path
+        required: true
+        type: string
+    get:
+      summary: Get the model for a token by id
+      responses:
+        '200':
+          description: The info for the new token
+          schema:
+            $ref: '#/definitions/Token'
+    delete:
+      summary: Delete (revoke) a token by id
+      responses:
+        '204':
+          description: The token has been deleted
+  /user:
+    get:
+      summary: Return authenticated user's model
+      responses:
+        '200':
+          description: The authenticated user's model is returned.
+          schema:
+            $ref: '#/definitions/User'
   /groups:
     get:
       summary: List groups
@@ -272,7 +455,7 @@ paths:
           in: path
           required: true
           type: string
-        - name: data
+        - name: body
           in: body
           required: true
           description: The users to add to the group
@@ -297,7 +480,7 @@ paths:
           in: path
           required: true
           type: string
-        - name: data
+        - name: body
           in: body
           required: true
           description: The users to remove from the group
@@ -355,7 +538,7 @@ paths:
       summary: Notify the Hub about a new proxy
       description: Notifies the Hub of a new proxy to use.
       parameters:
-        - name: data
+        - name: body
           in: body
           required: true
           description: Any values that have changed for the new proxy. All keys are optional.
@@ -377,52 +560,173 @@ paths:
       responses:
         '200':
           description: Success
-  /authorizations/token/{token}:
-    get:
-      summary: Identify a user from an API token
+  /authorizations/token:
+    post:
+      summary: Request a new API token
+      description: |
+        Request a new API token to use with the JupyterHub REST API.
+        If not already authenticated, username and password can be sent
+        in the JSON request body.
+        Logging in via this method is only available when the active Authenticator
+        accepts passwords (e.g. not OAuth).
       parameters:
-      - name: token
-        in: path
-        required: true
-        type: string
+        - name: credentials
+          in: body
+          schema:
+            type: object
+            properties:
+              username:
+                type: string
+              password:
+                type: string
       responses:
         '200':
-          description: The user identified by the API token
+          description: The new API token
           schema:
-            $ref: '#/definitions/User'
+            type: object
+            properties:
+              token:
+                type: string
+                description: The new API token.
+        '403':
+          description: The user can not be authenticated.
+  /authorizations/token/{token}:
+    get:
+      summary: Identify a user or service from an API token
+      parameters:
+        - name: token
+          in: path
+          required: true
+          type: string
+      responses:
+        '200':
+          description: The user or service identified by the API token
+        '404':
+          description: A user or service is not found.
   /authorizations/cookie/{cookie_name}/{cookie_value}:
     get:
       summary: Identify a user from a cookie
       description: Used by single-user notebook servers to hand off cookie authentication to the Hub
       parameters:
-      - name: cookie_name
-        in: path
-        required: true
-        type: string
-      - name: cookie_value
-        in: path
-        required: true
-        type: string
+        - name: cookie_name
+          in: path
+          required: true
+          type: string
+        - name: cookie_value
+          in: path
+          required: true
+          type: string
       responses:
         '200':
           description: The user identified by the cookie
           schema:
             $ref: '#/definitions/User'
+        '404':
+          description: A user is not found.
+  /oauth2/authorize:
+    get:
+      summary: 'OAuth 2.0 authorize endpoint'
+      description: |
+        Redirect users to this URL to begin the OAuth process.
+        It is not an API endpoint.
+      parameters:
+        - name: client_id
+          description: The client id
+          in: query
+          required: true
+          type: string
+        - name: response_type
+          description: The response type (always 'code')
+          in: query
+          required: true
+          type: string
+        - name: state
+          description: A state string
+          in: query
+          required: false
+          type: string
+        - name: redirect_uri
+          description: The redirect url
+          in: query
+          required: true
+          type: string
+      responses:
+        '200':
+          description: Success
+        '400':
+          description: OAuth2Error
+  /oauth2/token:
+    post:
+      summary: Request an OAuth2 token
+      description: |
+        Request an OAuth2 token from an authorization code.
+        This request completes the OAuth process.
+      consumes:
+        - application/x-www-form-urlencoded
+      parameters:
+        - name: client_id
+          description: The client id
+          in: formData
+          required: true
+          type: string
+        - name: client_secret
+          description: The client secret
+          in: formData
+          required: true
+          type: string
+        - name: grant_type
+          description: The grant type (always 'authorization_code')
+          in: formData
+          required: true
+          type: string
+        - name: code
+          description: The code provided by the authorization redirect
+          in: formData
+          required: true
+          type: string
+        - name: redirect_uri
+          description: The redirect url
+          in: formData
+          required: true
+          type: string
+      responses:
+        '200':
+          description: JSON response including the token
+          schema:
+            type: object
+            properties:
+              access_token:
+                type: string
+                description: The new API token for the user
+              token_type:
+                type: string
+                description: Will always be 'Bearer'
   /shutdown:
     post:
       summary: Shutdown the Hub
       parameters:
-        - name: proxy
+        - name: body
           in: body
-          type: boolean
-          description: Whether the proxy should be shutdown as well (default from Hub config)
-        - name: servers
-          in: body
-          type: boolean
-          description: Whether users's notebook servers should be shutdown as well (default from Hub config)
+          schema:
+            type: object
+            properties:
+              proxy:
+                type: boolean
+                description: Whether the proxy should be shutdown as well (default from Hub config)
+              servers:
+                type: boolean
+                description: Whether users' notebook servers should be shutdown as well (default from Hub config)
       responses:
-        '200':
-          description: Hub has shutdown
+        '202':
+          description: Shutdown successful
+        '400':
+          description: Unexpeced value for proxy or servers
+# Descriptions of common responses
+responses:
+  NotFound:
+    description: The specified resource was not found
+  Unauthorized:
+    description: Authentication/Authorization error
 definitions:
   User:
     type: object
@@ -443,12 +747,54 @@ definitions:
         description: The user's notebook server's base URL, if running; null if not.
       pending:
         type: string
-        enum: ["spawn", "stop"]
+        enum: ["spawn", "stop", null]
         description: The currently pending action, if any
       last_activity:
         type: string
         format: date-time
         description: Timestamp of last-seen activity from the user
+      servers:
+        type: array
+        description: The active servers for this user.
+        items:
+          $ref: '#/definitions/Server'
+  Server:
+    type: object
+    properties:
+      name:
+        type: string
+        description: The server's name. The user's default server has an empty name ('')
+      ready:
+        type: boolean
+        description: |
+          Whether the server is ready for traffic.
+          Will always be false when any transition is pending.
+      pending:
+        type: string
+        enum: ["spawn", "stop", null]
+        description: |
+          The currently pending action, if any.
+          A server is not ready if an action is pending.
+      url:
+        type: string
+        description: |
+          The URL where the server can be accessed
+          (typically /user/:name/:server.name/).
+      progress_url:
+        type: string
+        description: |
+          The URL for an event-stream to retrieve events during a spawn.
+      started:
+        type: string
+        format: date-time
+        description: UTC timestamp when the server was last started.
+      last_activity:
+        type: string
+        format: date-time
+        description: UTC timestamp last-seen activity on this server.
+      state:
+        type: object
+        description: Arbitrary internal state from this server's spawner.  Only available on the hub's users list or get-user-by-name method, and only if a hub admin.  None otherwise.
   Group:
     type: object
     properties:
@@ -483,3 +829,40 @@ definitions:
         description: The command used to start the service (if managed)
         items:
           type: string
+      info:
+        type: object
+        description: |
+          Additional information a deployment can attach to a service.
+          JupyterHub does not use this field.
+  Token:
+    type: object
+    properties:
+      token:
+        type: string
+        description: The token itself. Only present in responses to requests for a new token.
+      id:
+        type: string
+        description: The id of the API token. Used for modifying or deleting the token.
+      user:
+        type: string
+        description: The user that owns a token (undefined if owned by a service)
+      service:
+        type: string
+        description: The service that owns the token (undefined of owned by a user)
+      note:
+        type: string
+        description: A note about the token, typically describing what it was created for.
+      created:
+        type: string
+        format: date-time
+        description: Timestamp when this token was created
+      expires_at:
+        type: string
+        format: date-time
+        description: Timestamp when this token expires. Null if there is no expiry.
+      last_activity:
+        type: string
+        format: date-time
+        description: |
+          Timestamp of last-seen activity using this token.
+          Can be null if token has never been used.

docs/source/_static/custom.css

@@ -0,0 +1,106 @@
+div#helm-chart-schema h2,
+div#helm-chart-schema h3,
+div#helm-chart-schema h4,
+div#helm-chart-schema h5,
+div#helm-chart-schema h6 {
+    font-family: courier new;
+}
+
+h3, h3 ~ * {
+  margin-left: 3% !important;
+}
+
+h4, h4 ~ * {
+  margin-left: 6% !important;
+}
+
+h5, h5 ~ * {
+  margin-left: 9% !important;
+}
+
+h6, h6 ~ * {
+  margin-left: 12% !important;
+}
+
+h7, h7 ~ * {
+  margin-left: 15% !important;
+}
+
+img.logo {
+  width:100%
+}
+
+.right-next {
+    float: right;
+    max-width: 45%;
+    overflow: auto;
+    text-overflow: ellipsis;
+    white-space: nowrap;
+}
+
+.right-next::after{
+    content: ' »';
+}
+
+.left-prev {
+    float: left;
+    max-width: 45%;
+    overflow: auto;
+    text-overflow: ellipsis;
+    white-space: nowrap;
+}
+
+.left-prev::before{
+    content: '« ';
+}
+
+.prev-next-bottom {
+  margin-top: 3em;
+}
+
+.prev-next-top {
+  margin-bottom: 1em;
+}
+
+/* Sidebar TOC and headers */
+
+div.sphinxsidebarwrapper div {
+    margin-bottom: .8em;
+}
+div.sphinxsidebar h3 {
+    font-size: 1.3em;
+    padding-top: 0px;
+    font-weight: 800;
+    margin-left: 0px !important;
+}
+
+div.sphinxsidebar p.caption {
+    font-size: 1.2em;
+    margin-bottom: 0px;
+    margin-left: 0px !important;
+    font-weight: 900;
+    color: #767676;
+}
+
+div.sphinxsidebar ul {
+    font-size: .8em;
+    margin-top: 0px;
+    padding-left: 3%;
+    margin-left: 0px !important;
+}
+
+div.relations ul {
+    font-size: 1em;
+    margin-left: 0px !important;
+}
+
+div#searchbox form {
+    margin-left: 0px !important;
+}
+
+/* body elements */
+.toctree-wrapper span.caption-text {
+    color: #767676;
+    font-style: italic;
+    font-weight: 300;
+}

docs/source/_templates/navigation.html

@@ -0,0 +1,16 @@
+{# Custom template for navigation.html
+
+   alabaster theme does not provide blocks for titles to
+   be overridden so this custom theme handles title and
+   toctree for sidebar
+#}
+<h3>{{ _('Table of Contents') }}</h3>
+{{ toctree(includehidden=theme_sidebar_includehidden, collapse=theme_sidebar_collapse) }}
+{% if theme_extra_nav_links %}
+<hr />
+<ul>
+    {% for text, uri in theme_extra_nav_links.items() %}
+    <li class="toctree-l1"><a href="{{ uri }}">{{ text }}</a></li>
+    {% endfor %}
+</ul>
+{% endif %}

docs/source/_templates/relations.html

@@ -0,0 +1,17 @@
+{# Custom template for relations.html
+
+   alabaster theme does not provide previous/next page by default
+#}
+<div class="relations">
+<h3>Navigation</h3>
+<ul>
+  <li><a href="{{ pathto(master_doc) }}">Documentation Home</a><ul>
+  {%- if prev %}
+  <li><a href="{{ prev.link|e }}" title="Previous">Previous topic</a></li>
+  {%- endif %}
+  {%- if next %}
+  <li><a href="{{ next.link|e }}" title="Next">Next topic</a></li>
+  {%- endif %}
+  </ul>
+</ul>
+</div>

docs/source/admin/upgrading.rst

@@ -0,0 +1,159 @@
+.. _admin/upgrading:
+
+====================
+Upgrading JupyterHub
+====================
+
+JupyterHub offers easy upgrade pathways between minor versions. This
+document describes how to do these upgrades.
+
+If you are using :ref:`a JupyterHub distribution <index/distributions>`, you
+should consult the distribution's documentation on how to upgrade. This
+document is if you have set up your own JupyterHub without using a
+distribution.
+
+It is long because is pretty detailed! Most likely, upgrading
+JupyterHub is painless, quick and with minimal user interruption.
+
+Read the Changelog
+==================
+
+The `changelog <../changelog.html>`_ contains information on what has
+changed with the new JupyterHub release, and any deprecation warnings.
+Read these notes to familiarize yourself with the coming changes. There
+might be new releases of authenticators & spawners you are using, so
+read the changelogs for those too!
+
+Notify your users
+=================
+
+If you are using the default configuration where ``configurable-http-proxy``
+is managed by JupyterHub, your users will see service disruption during
+the upgrade process. You should notify them, and pick a time to do the
+upgrade where they will be least disrupted.
+
+If you are using a different proxy, or running ``configurable-http-proxy``
+independent of JupyterHub, your users will be able to continue using notebook
+servers they had already launched, but will not be able to launch new servers
+nor sign in.
+
+
+Backup database & config
+========================
+
+Before doing an upgrade, it is critical to back up:
+
+#. Your JupyterHub database (sqlite by default, or MySQL / Postgres
+   if you used those). If you are using sqlite (the default), you
+   should backup the ``jupyterhub.sqlite`` file.
+#. Your ``jupyterhub_config.py`` file.
+#. Your user's home directories. This is unlikely to be affected directly by
+   a JupyterHub upgrade, but we recommend a backup since user data is very
+   critical.
+
+
+Shutdown JupyterHub
+===================
+
+Shutdown the JupyterHub process. This would vary depending on how you
+have set up JupyterHub to run. Most likely, it is using a process
+supervisor of some sort (``systemd`` or ``supervisord`` or even ``docker``).
+Use the supervisor specific command to stop the JupyterHub process.
+
+Upgrade JupyterHub packages
+===========================
+
+There are two environments where the ``jupyterhub`` package is installed:
+
+#. The *hub environment*, which is where the JupyterHub server process
+   runs. This is started with the ``jupyterhub`` command, and is what
+   people generally think of as JupyterHub.
+
+#. The *notebook user environments*. This is where the user notebook
+   servers are launched from, and is probably custom to your own
+   installation. This could be just one environment (different from the
+   hub environment) that is shared by all users, one environment
+   per user, or same environment as the hub environment. The hub
+   launched the ``jupyterhub-singleuser`` command in this environment,
+   which in turn starts the notebook server.
+
+You need to make sure the version of the ``jupyterhub`` package matches
+in both these environments. If you installed ``jupyterhub`` with pip,
+you can upgrade it with:
+
+.. code-block:: bash
+
+   python3 -m pip install --upgrade jupyterhub==<version>
+
+Where ``<version>`` is the version of JupyterHub you are upgrading to.
+
+If you used ``conda`` to install ``jupyterhub``, you should upgrade it
+with:
+
+.. code-block:: bash
+
+   conda install -c conda-forge jupyterhub==<version>
+
+Where ``<version>`` is the version of JupyterHub you are upgrading to.
+
+You should also check for new releases of the authenticator & spawner you
+are using. You might wish to upgrade those packages too along with JupyterHub,
+or upgrade them separately.
+
+Upgrade JupyterHub database
+===========================
+
+Once new packages are installed, you need to upgrade the JupyterHub
+database. From the hub environment, in the same directory as your
+``jupyterhub_config.py`` file, you should run:
+
+.. code-block:: bash
+
+   jupyterhub upgrade-db
+
+This should find the location of your database, and run necessary upgrades
+for it.
+
+SQLite database disadvantages
+-----------------------------
+
+SQLite has some disadvantages when it comes to upgrading JupyterHub. These
+are:
+
+-  ``upgrade-db`` may not work, and you may need delete your database
+   and start with a fresh one.
+-  ``downgrade-db`` **will not** work if you want to rollback to an
+   earlier version, so backup the ``jupyterhub.sqlite`` file before
+   upgrading
+
+What happens if I delete my database?
+-------------------------------------
+
+Losing the Hub database is often not a big deal. Information that
+resides only in the Hub database includes:
+
+-  active login tokens (user cookies, service tokens)
+-  users added via JupyterHub UI, instead of config files
+-  info about running servers
+
+If the following conditions are true, you should be fine clearing the
+Hub database and starting over:
+
+-  users specified in config file, or login using an external
+   authentication provider (Google, GitHub, LDAP, etc)
+-  user servers are stopped during upgrade
+-  don't mind causing users to login again after upgrade
+
+Start JupyterHub
+================
+
+Once the database upgrade is completed, start the ``jupyterhub``
+process again.
+
+#. Log-in and start the server to make sure things work as
+   expected.
+#. Check the logs for any errors or deprecation warnings. You
+   might have to update your ``jupyterhub_config.py`` file to
+   deal with any deprecated options.
+
+Congratulations, your JupyterHub has been upgraded!

docs/source/api/app.rst

@@ -0,0 +1,15 @@
+=========================
+Application configuration
+=========================
+
+Module: :mod:`jupyterhub.app`
+=============================
+
+.. automodule:: jupyterhub.app
+
+.. currentmodule:: jupyterhub.app
+
+:class:`JupyterHub`
+-------------------
+
+.. autoconfigurable:: JupyterHub

docs/source/api/auth.rst

@@ -9,13 +9,24 @@ Module: :mod:`jupyterhub.auth`
 
 .. currentmodule:: jupyterhub.auth
 
+:class:`Authenticator`
+----------------------
 
-
-.. autoclass:: Authenticator
+.. autoconfigurable:: Authenticator
     :members:
 
-.. autoclass:: LocalAuthenticator
+:class:`LocalAuthenticator`
+---------------------------
+
+.. autoconfigurable:: LocalAuthenticator
     :members:
 
-.. autoclass:: PAMAuthenticator
+:class:`PAMAuthenticator`
+-------------------------
 
+.. autoconfigurable:: PAMAuthenticator
+
+:class:`DummyAuthenticator`
+---------------------------
+
+.. autoconfigurable:: DummyAuthenticator

docs/source/api/index.rst

@@ -1,19 +1,21 @@
 .. _api-index:
 
-####################
- The JupyterHub API
-####################
+##############
+JupyterHub API
+##############
 
 :Release: |release|
 :Date: |today|
 
 JupyterHub also provides a REST API for administration of the Hub and users.
-The documentation on `Using JupyterHub's REST API <../rest.html>`_ provides
+The documentation on `Using JupyterHub's REST API <../reference/rest.html>`_ provides
 information on:
 
-- Creating an API token
-- Adding tokens to the configuration file (optional)
-- Making an API request
+- what you can do with the API
+- creating an API token
+- adding API tokens to the config files
+- making an API request programmatically using the requests library
+- learning more about JupyterHub's API
 
 The same JupyterHub API spec, as found here, is available in an interactive form
 `here (on swagger's petstore) <http://petstore.swagger.io/?url=https://raw.githubusercontent.com/jupyterhub/jupyterhub/master/docs/rest-api.yml#!/default>`__.
@@ -24,9 +26,12 @@ JupyterHub API Reference:
 
 .. toctree::
 
+    app
     auth
     spawner
+    proxy
     user
+    service
     services.auth
 
 

docs/source/api/proxy.rst

@@ -0,0 +1,22 @@
+=======
+Proxies
+=======
+
+Module: :mod:`jupyterhub.proxy`
+===============================
+
+.. automodule:: jupyterhub.proxy
+
+.. currentmodule:: jupyterhub.proxy
+
+:class:`Proxy`
+--------------
+
+.. autoconfigurable:: Proxy
+    :members:
+
+:class:`ConfigurableHTTPProxy`
+------------------------------
+
+.. autoconfigurable:: ConfigurableHTTPProxy
+    :members: debug, auth_token, check_running_interval, api_url, command

docs/source/api/service.rst

@@ -0,0 +1,16 @@
+========
+Services
+========
+
+Module: :mod:`jupyterhub.services.service`
+==========================================
+
+.. automodule:: jupyterhub.services.service
+
+.. currentmodule:: jupyterhub.services.service
+
+:class:`Service`
+----------------
+
+.. autoconfigurable:: Service
+    :members: name, admin, url, api_token, managed, kind, command, cwd, environment, user, oauth_client_id, server, prefix, proxy_spec

docs/source/api/services.auth.rst

@@ -1,5 +1,5 @@
 =======================
-Authenticating Services
+Services Authentication
 =======================
 
 Module: :mod:`jupyterhub.services.auth`
@@ -10,9 +10,31 @@ Module: :mod:`jupyterhub.services.auth`
 .. currentmodule:: jupyterhub.services.auth
 
 
-.. autoclass:: HubAuth
+:class:`HubAuth`
+----------------
+
+.. autoconfigurable:: HubAuth
     :members:
 
+:class:`HubOAuth`
+-----------------
+
+.. autoconfigurable:: HubOAuth
+    :members:
+
+
+:class:`HubAuthenticated`
+-------------------------
+
 .. autoclass:: HubAuthenticated
     :members:
 
+:class:`HubOAuthenticated`
+--------------------------
+
+.. autoclass:: HubOAuthenticated
+
+:class:`HubOAuthCallbackHandler`
+--------------------------------
+
+.. autoclass:: HubOAuthCallbackHandler

docs/source/api/spawner.rst

@@ -1,6 +1,6 @@
-==============
-   Spawners
-==============
+========
+Spawners
+========
 
 Module: :mod:`jupyterhub.spawner`
 =================================
@@ -12,7 +12,10 @@ Module: :mod:`jupyterhub.spawner`
 :class:`Spawner`
 ----------------
 
-.. autoclass:: Spawner
-    :members: options_from_form, poll, start, stop, get_args, get_env, get_state, template_namespace, format_string
+.. autoconfigurable:: Spawner
+    :members: options_from_form, poll, start, stop, get_args, get_env, get_state, template_namespace, format_string, create_certs, move_certs
 
-.. autoclass:: LocalProcessSpawner
+:class:`LocalProcessSpawner`
+----------------------------
+
+.. autoconfigurable:: LocalProcessSpawner

docs/source/api/user.rst

@@ -1,6 +1,6 @@
-=============
-   Users
-=============
+=====
+Users
+=====
 
 Module: :mod:`jupyterhub.user`
 ==============================
@@ -9,11 +9,16 @@ Module: :mod:`jupyterhub.user`
 
 .. currentmodule:: jupyterhub.user
 
+:class:`UserDict`
+-----------------
+
+.. autoclass:: UserDict
+    :members:
+
+
 :class:`User`
 -------------
 
-.. class:: Server
-
 .. autoclass:: User
     :members: escaped_name
     

docs/source/authenticators.md

@@ -1,113 +0,0 @@
-# Authenticators
-
-The [Authenticator][] is the mechanism for authorizing users.
-Basic authenticators use simple username and password authentication.
-JupyterHub ships only with a [PAM][]-based Authenticator,
-for logging in with local user accounts.
-
-You can use custom Authenticator subclasses to enable authentication via other systems.
-One such example is using [GitHub OAuth][].
-
-Because the username is passed from the Authenticator to the Spawner,
-a custom Authenticator and Spawner are often used together.
-
-See a list of custom Authenticators [on the wiki](https://github.com/jupyterhub/jupyterhub/wiki/Authenticators).
-
-
-## Basics of Authenticators
-
-A basic Authenticator has one central method:
-
-### Authenticator.authenticate
-
-    Authenticator.authenticate(handler, data)
-
-This method is passed the tornado RequestHandler and the POST data from the login form.
-Unless the login form has been customized, `data` will have two keys:
-
-- `username` (self-explanatory)
-- `password` (also self-explanatory)
-
-`authenticate`'s job is simple:
-
-- return a username (non-empty str)
-  of the authenticated user if authentication is successful
-- return `None` otherwise
-
-Writing an Authenticator that looks up passwords in a dictionary
-requires only overriding this one method:
-
-```python
-from tornado import gen
-from IPython.utils.traitlets import Dict
-from jupyterhub.auth import Authenticator
-
-class DictionaryAuthenticator(Authenticator):
-
-    passwords = Dict(config=True,
-        help="""dict of username:password for authentication"""
-    )
-
-    @gen.coroutine
-    def authenticate(self, handler, data):
-        if self.passwords.get(data['username']) == data['password']:
-            return data['username']
-```
-
-### Authenticator.whitelist
-
-Authenticators can specify a whitelist of usernames to allow authentication.
-For local user authentication (e.g. PAM), this lets you limit which users
-can login.
-
-
-## Normalizing and validating usernames
-
-Since the Authenticator and Spawner both use the same username,
-sometimes you want to transform the name coming from the authentication service
-(e.g. turning email addresses into local system usernames) before adding them to the Hub service.
-Authenticators can define `normalize_username`, which takes a username.
-The default normalization is to cast names to lowercase
-
-For simple mappings, a configurable dict `Authenticator.username_map` is used to turn one name into another:
-
-```python
-c.Authenticator.username_map  = {
-  'service-name': 'localname'
-}
-```
-
-### Validating usernames
-
-In most cases, there is a very limited set of acceptable usernames.
-Authenticators can define `validate_username(username)`,
-which should return True for a valid username and False for an invalid one.
-The primary effect this has is improving error messages during user creation.
-
-The default behavior is to use configurable `Authenticator.username_pattern`,
-which is a regular expression string for validation.
-
-To only allow usernames that start with 'w':
-
-```python
-c.Authenticator.username_pattern = r'w.*'
-```
-
-## OAuth and other non-password logins
-
-Some login mechanisms, such as [OAuth][], don't map onto username+password.
-For these, you can override the login handlers.
-
-You can see an example implementation of an Authenticator that uses [GitHub OAuth][]
-at [OAuthenticator][].
-
-
-## Writing a custom authenticator
-
-If you are interested in writing a custom authenticator, you can read [this tutorial](http://jupyterhub-tutorial.readthedocs.io/en/latest/authenticators.html).
-
-[Authenticator]: https://github.com/jupyterhub/jupyterhub/blob/master/jupyterhub/auth.py
-[PAM]: https://en.wikipedia.org/wiki/Pluggable_authentication_module
-[OAuth]: https://en.wikipedia.org/wiki/OAuth
-[GitHub OAuth]: https://developer.github.com/v3/oauth/
-[OAuthenticator]: https://github.com/jupyterhub/oauthenticator

docs/source/changelog.md

@@ -1,19 +1,605 @@
-# Change log summary
+# Changelog
 
 For detailed changes from the prior release, click on the version number, and
 its link will bring up a GitHub listing of changes. Use `git log` on the
 command line for details.
 
 
-## [Unreleased] 0.8
+## [Unreleased]
 
-## 0.7
+## 1.1
 
-### [0.7.1] - 2016-01-02
+### [1.1.0] 2020-01-17
+
+1.1 is a release with lots of accumulated fixes and improvements,
+especially in performance, metrics, and customization.
+There are no database changes in 1.1, so no database upgrade is required
+when upgrading from 1.0 to 1.1.
+
+Of particular interest to deployments with automatic health checking and/or large numbers of users is that the slow startup time
+introduced in 1.0 by additional spawner validation can now be mitigated by `JupyterHub.init_spawners_timeout`,
+allowing the Hub to become responsive before the spawners may have finished validating.
+
+Several new Prometheus metrics are added (and others fixed!)
+to measure sources of common performance issues,
+such as proxy interactions and startup.
+
+1.1 also begins adoption of the Jupyter telemetry project in JupyterHub,
+See [The Jupyter Telemetry docs](https://jupyter-telemetry.readthedocs.io)
+for more info. The only events so far are starting and stopping servers,
+but more will be added in future releases.
+
+There are many more fixes and improvements listed below.
+Thanks to everyone who has contributed to this release!
+
+
+#### New
+
+- LocalProcessSpawner should work on windows by using psutil.pid_exists [#2882](https://github.com/jupyterhub/jupyterhub/pull/2882) ([@ociule](https://github.com/ociule))
+- trigger auth_state_hook prior to options form, add auth_state to template namespace [#2881](https://github.com/jupyterhub/jupyterhub/pull/2881) ([@minrk](https://github.com/minrk))
+- Added guide 'install jupyterlab the hard way' #2110 [#2842](https://github.com/jupyterhub/jupyterhub/pull/2842) ([@mangecoeur](https://github.com/mangecoeur))
+- Add prometheus metric to measure hub startup time [#2799](https://github.com/jupyterhub/jupyterhub/pull/2799) ([@rajat404](https://github.com/rajat404))
+- Add Spawner.auth_state_hook [#2555](https://github.com/jupyterhub/jupyterhub/pull/2555) ([@rcthomas](https://github.com/rcthomas))
+- Link services from jupyterhub pages [#2763](https://github.com/jupyterhub/jupyterhub/pull/2763) ([@rcthomas](https://github.com/rcthomas))
+- Add Spawner.auth_state_hook [#2555](https://github.com/jupyterhub/jupyterhub/pull/2555) ([@rcthomas](https://github.com/rcthomas))
+- `JupyterHub.user_redirect_hook` is added to allow admins to customize /user-redirect/ behavior [#2790](https://github.com/jupyterhub/jupyterhub/pull/2790) ([@yuvipanda](https://github.com/yuvipanda))
+- Add prometheus metric to measure hub startup time [#2799](https://github.com/jupyterhub/jupyterhub/pull/2799) ([@rajat404](https://github.com/rajat404))
+- Add prometheus metric to measure proxy route poll times [#2798](https://github.com/jupyterhub/jupyterhub/pull/2798) ([@rajat404](https://github.com/rajat404))
+- `PROXY_DELETE_DURATION_SECONDS` prometheus metric is added, to measure proxy route deletion times [#2788](https://github.com/jupyterhub/jupyterhub/pull/2788) ([@rajat404](https://github.com/rajat404))
+- `Service.oauth_no_confirm` is added, it is useful for admin-managed services that are considered part of the Hub and shouldn't need to prompt the user for access [#2767](https://github.com/jupyterhub/jupyterhub/pull/2767) ([@minrk](https://github.com/minrk))
+- `JupyterHub.default_server_name` is added to make the default server be a named server with provided name [#2735](https://github.com/jupyterhub/jupyterhub/pull/2735) ([@krinsman](https://github.com/krinsman))
+- `JupyterHub.init_spawners_timeout` is introduced to combat slow startups on large JupyterHub deployments [#2721](https://github.com/jupyterhub/jupyterhub/pull/2721) ([@minrk](https://github.com/minrk))
+- The configuration `uids` for local authenticators is added to consistently assign users UNIX id's between installations [#2687](https://github.com/jupyterhub/jupyterhub/pull/2687) ([@rgerkin](https://github.com/rgerkin))
+- `JupyterHub.activity_resolution` is introduced with a default value of 30s improving performance by not updating the database with user activity too often [#2605](https://github.com/jupyterhub/jupyterhub/pull/2605) ([@minrk](https://github.com/minrk))
+- [HubAuth](https://jupyterhub.readthedocs.io/en/stable/api/services.auth.html#jupyterhub.services.auth.HubAuth)'s SSL configuration can now be set through environment variables [#2588](https://github.com/jupyterhub/jupyterhub/pull/2588) ([@cmd-ntrf](https://github.com/cmd-ntrf))
+- Expose spawner.user_options in REST API. [#2755](https://github.com/jupyterhub/jupyterhub/pull/2755) ([@danielballan](https://github.com/danielballan))
+- add block for scripts included in head [#2828](https://github.com/jupyterhub/jupyterhub/pull/2828) ([@bitnik](https://github.com/bitnik))
+- Instrument JupyterHub to record events with jupyter_telemetry [Part II] [#2698](https://github.com/jupyterhub/jupyterhub/pull/2698) ([@Zsailer](https://github.com/Zsailer))
+- Make announcements visible without custom HTML [#2570](https://github.com/jupyterhub/jupyterhub/pull/2570) ([@consideRatio](https://github.com/consideRatio))
+- Display server version on admin page [#2776](https://github.com/jupyterhub/jupyterhub/pull/2776) ([@vilhelmen](https://github.com/vilhelmen))
+
+#### Fixes
+
+- Bugfix: pam_normalize_username didn't return username [#2876](https://github.com/jupyterhub/jupyterhub/pull/2876) ([@rkdarst](https://github.com/rkdarst))
+- Cleanup if spawner stop fails [#2849](https://github.com/jupyterhub/jupyterhub/pull/2849) ([@gabber12](https://github.com/gabber12))
+- Fix an issue occurring with the default spawner and `internal_ssl` enabled [#2785](https://github.com/jupyterhub/jupyterhub/pull/2785) ([@rpwagner](https://github.com/rpwagner))
+- Fix named servers to not be spawnable unless activated [#2772](https://github.com/jupyterhub/jupyterhub/pull/2772) ([@bitnik](https://github.com/bitnik))
+- JupyterHub now awaits proxy availability before accepting web requests [#2750](https://github.com/jupyterhub/jupyterhub/pull/2750) ([@minrk](https://github.com/minrk))
+- Fix a no longer valid assumption that MySQL and MariaDB need to have `innodb_file_format` and `innodb_large_prefix` configured [#2712](https://github.com/jupyterhub/jupyterhub/pull/2712) ([@chicocvenancio](https://github.com/chicocvenancio))
+- Login/Logout button now updates to Login on logout [#2705](https://github.com/jupyterhub/jupyterhub/pull/2705) ([@aar0nTw](https://github.com/aar0nTw))
+- Fix handling of exceptions within `pre_spawn_start` hooks [#2684](https://github.com/jupyterhub/jupyterhub/pull/2684) ([@GeorgianaElena](https://github.com/GeorgianaElena))
+- Fix an issue where a user could end up spawning a default server instead of a named server as intended [#2682](https://github.com/jupyterhub/jupyterhub/pull/2682) ([@rcthomas](https://github.com/rcthomas))
+- /hub/admin now redirects to login if unauthenticated [#2670](https://github.com/jupyterhub/jupyterhub/pull/2670) ([@GeorgianaElena](https://github.com/GeorgianaElena))
+- Fix spawning of users with names containing characters that needs to be escaped [#2648](https://github.com/jupyterhub/jupyterhub/pull/2648) ([@nicorikken](https://github.com/nicorikken))
+- Fix `TOTAL_USERS` prometheus metric [#2637](https://github.com/jupyterhub/jupyterhub/pull/2637) ([@GeorgianaElena](https://github.com/GeorgianaElena))
+- Fix `RUNNING_SERVERS` prometheus metric [#2629](https://github.com/jupyterhub/jupyterhub/pull/2629) ([@GeorgianaElena](https://github.com/GeorgianaElena))
+- Fix faulty redirects to 404 that could occur with the use of named servers [#2594](https://github.com/jupyterhub/jupyterhub/pull/2594) ([@vilhelmen](https://github.com/vilhelmen))
+- JupyterHub API spec is now a valid OpenAPI spec [#2590](https://github.com/jupyterhub/jupyterhub/pull/2590) ([@sbrunk](https://github.com/sbrunk))
+- Use of `--help` or `--version` previously could output unrelated errors [#2584](https://github.com/jupyterhub/jupyterhub/pull/2584) ([@minrk](https://github.com/minrk))
+- No longer crash on startup in Windows [#2560](https://github.com/jupyterhub/jupyterhub/pull/2560) ([@adelcast](https://github.com/adelcast))
+- Escape usernames in the frontend [#2640](https://github.com/jupyterhub/jupyterhub/pull/2640) ([@nicorikken](https://github.com/nicorikken))
+
+#### Maintenance
+
+
+- Optimize CI jobs and default to bionic [#2897](https://github.com/jupyterhub/jupyterhub/pull/2897) ([@consideRatio](https://github.com/consideRatio))
+- catch connection error for ssl failures [#2889](https://github.com/jupyterhub/jupyterhub/pull/2889) ([@minrk](https://github.com/minrk))
+- Fix implementation of default server name [#2887](https://github.com/jupyterhub/jupyterhub/pull/2887) ([@krinsman](https://github.com/krinsman))
+- fixup allow_failures [#2880](https://github.com/jupyterhub/jupyterhub/pull/2880) ([@minrk](https://github.com/minrk))
+- Pass tests on Python 3.8 [#2879](https://github.com/jupyterhub/jupyterhub/pull/2879) ([@minrk](https://github.com/minrk))
+- Fixup .travis.yml [#2868](https://github.com/jupyterhub/jupyterhub/pull/2868) ([@consideRatio](https://github.com/consideRatio))
+- Update README's badges [#2867](https://github.com/jupyterhub/jupyterhub/pull/2867) ([@consideRatio](https://github.com/consideRatio))
+- Dockerfile: add build-essential to builder image [#2866](https://github.com/jupyterhub/jupyterhub/pull/2866) ([@rkdarst](https://github.com/rkdarst))
+- Dockerfile: Copy share/ to the final image [#2864](https://github.com/jupyterhub/jupyterhub/pull/2864) ([@rkdarst](https://github.com/rkdarst))
+- chore: Dockerfile updates [#2853](https://github.com/jupyterhub/jupyterhub/pull/2853) ([@jgwerner](https://github.com/jgwerner))
+- simplify Dockerfile [#2840](https://github.com/jupyterhub/jupyterhub/pull/2840) ([@minrk](https://github.com/minrk))
+- docker: fix onbuild image arg [#2839](https://github.com/jupyterhub/jupyterhub/pull/2839) ([@minrk](https://github.com/minrk))
+- remove redundant pip package list in docs environment.yml [#2838](https://github.com/jupyterhub/jupyterhub/pull/2838) ([@minrk](https://github.com/minrk))
+- docs: Update docs to run tests [#2812](https://github.com/jupyterhub/jupyterhub/pull/2812) ([@jgwerner](https://github.com/jgwerner))
+- remove redundant pip package list in docs environment.yml [#2838](https://github.com/jupyterhub/jupyterhub/pull/2838) ([@minrk](https://github.com/minrk))
+- updating to pandas docs theme [#2820](https://github.com/jupyterhub/jupyterhub/pull/2820) ([@choldgraf](https://github.com/choldgraf))
+- Adding institutional faq [#2800](https://github.com/jupyterhub/jupyterhub/pull/2800) ([@choldgraf](https://github.com/choldgraf))
+- Add inline comment to test [#2826](https://github.com/jupyterhub/jupyterhub/pull/2826) ([@consideRatio](https://github.com/consideRatio))
+- Raise error on missing specified config [#2824](https://github.com/jupyterhub/jupyterhub/pull/2824) ([@consideRatio](https://github.com/consideRatio))
+- chore: Refactor Dockerfile [#2816](https://github.com/jupyterhub/jupyterhub/pull/2816) ([@jgwerner](https://github.com/jgwerner))
+- chore: Update python versions in travis matrix [#2811](https://github.com/jupyterhub/jupyterhub/pull/2811) ([@jgwerner](https://github.com/jgwerner))
+- chore: Bump package versions used in pre-commit config [#2810](https://github.com/jupyterhub/jupyterhub/pull/2810) ([@jgwerner](https://github.com/jgwerner))
+- adding docs preview to circleci [#2803](https://github.com/jupyterhub/jupyterhub/pull/2803) ([@choldgraf](https://github.com/choldgraf))
+- adding institutional faq [#2800](https://github.com/jupyterhub/jupyterhub/pull/2800) ([@choldgraf](https://github.com/choldgraf))
+- The proxy's REST API listens on port `8001` [#2795](https://github.com/jupyterhub/jupyterhub/pull/2795) ([@bnuhero](https://github.com/bnuhero))
+- cull_idle_servers.py: rebind max_age and inactive_limit locally [#2794](https://github.com/jupyterhub/jupyterhub/pull/2794) ([@rkdarst](https://github.com/rkdarst))
+- Fix deprecation warnings [#2789](https://github.com/jupyterhub/jupyterhub/pull/2789) ([@tirkarthi](https://github.com/tirkarthi))
+- Log proxy class [#2783](https://github.com/jupyterhub/jupyterhub/pull/2783) ([@GeorgianaElena](https://github.com/GeorgianaElena))
+- Add docs for fixtures in CONTRIBUTING.md [#2782](https://github.com/jupyterhub/jupyterhub/pull/2782) ([@kinow](https://github.com/kinow))
+- Fix header project name typo [#2775](https://github.com/jupyterhub/jupyterhub/pull/2775) ([@kinow](https://github.com/kinow))
+- Remove unused setupegg.py [#2774](https://github.com/jupyterhub/jupyterhub/pull/2774) ([@kinow](https://github.com/kinow))
+- Log JupyterHub version on startup [#2752](https://github.com/jupyterhub/jupyterhub/pull/2752) ([@consideRatio](https://github.com/consideRatio))
+- Reduce verbosity for "Failing suspected API request to not-running server" (new) [#2751](https://github.com/jupyterhub/jupyterhub/pull/2751) ([@rkdarst](https://github.com/rkdarst))
+- Add missing package for json schema doc build [#2744](https://github.com/jupyterhub/jupyterhub/pull/2744) ([@willingc](https://github.com/willingc))
+- blacklist urllib3 versions with encoding bug [#2743](https://github.com/jupyterhub/jupyterhub/pull/2743) ([@minrk](https://github.com/minrk))
+- Remove tornado deprecated/unnecessary AsyncIOMainLoop().install() call [#2740](https://github.com/jupyterhub/jupyterhub/pull/2740) ([@kinow](https://github.com/kinow))
+- Fix deprecated call [#2739](https://github.com/jupyterhub/jupyterhub/pull/2739) ([@kinow](https://github.com/kinow))
+- Remove duplicate hub and authenticator traitlets from Spawner [#2736](https://github.com/jupyterhub/jupyterhub/pull/2736) ([@eslavich](https://github.com/eslavich))
+- Update issue template [#2725](https://github.com/jupyterhub/jupyterhub/pull/2725) ([@willingc](https://github.com/willingc))
+- Use autodoc-traits sphinx extension [#2723](https://github.com/jupyterhub/jupyterhub/pull/2723) ([@willingc](https://github.com/willingc))
+- Add New Server: change redirecting to relative to home page in js [#2714](https://github.com/jupyterhub/jupyterhub/pull/2714) ([@bitnik](https://github.com/bitnik))
+- Create a warning when creating a service implicitly from service_tokens [#2704](https://github.com/jupyterhub/jupyterhub/pull/2704) ([@katsar0v](https://github.com/katsar0v))
+- Fix mistypos [#2702](https://github.com/jupyterhub/jupyterhub/pull/2702) ([@rlukin](https://github.com/rlukin))
+- Add Jupyter community link [#2696](https://github.com/jupyterhub/jupyterhub/pull/2696) ([@mattjshannon](https://github.com/mattjshannon))
+- Fix failing travis tests [#2695](https://github.com/jupyterhub/jupyterhub/pull/2695) ([@GeorgianaElena](https://github.com/GeorgianaElena))
+- Documentation update: hint for using services instead of service tokens. [#2679](https://github.com/jupyterhub/jupyterhub/pull/2679) ([@katsar0v](https://github.com/katsar0v))
+- Replace header logo: jupyter -> jupyterhub [#2672](https://github.com/jupyterhub/jupyterhub/pull/2672) ([@consideRatio](https://github.com/consideRatio))
+- Update spawn-form example [#2662](https://github.com/jupyterhub/jupyterhub/pull/2662) ([@kinow](https://github.com/kinow))
+- Update flask hub authentication services example in doc [#2658](https://github.com/jupyterhub/jupyterhub/pull/2658) ([@cmd-ntrf](https://github.com/cmd-ntrf))
+- close `<div class="container">` tag in home.html [#2649](https://github.com/jupyterhub/jupyterhub/pull/2649) ([@bitnik](https://github.com/bitnik))
+- Some theme updates; no double NEXT/PREV buttons. [#2647](https://github.com/jupyterhub/jupyterhub/pull/2647) ([@Carreau](https://github.com/Carreau))
+- fix typos on technical reference documentation [#2646](https://github.com/jupyterhub/jupyterhub/pull/2646) ([@ilee38](https://github.com/ilee38))
+- Update links for Hadoop-related subprojects [#2645](https://github.com/jupyterhub/jupyterhub/pull/2645) ([@jcrist](https://github.com/jcrist))
+- corrected docker network create instructions in dockerfiles README [#2632](https://github.com/jupyterhub/jupyterhub/pull/2632) ([@bartolone](https://github.com/bartolone))
+- Fixed docs and testing code to use refactored SimpleLocalProcessSpawner [#2631](https://github.com/jupyterhub/jupyterhub/pull/2631) ([@danlester](https://github.com/danlester))
+- Update the config used for testing [#2628](https://github.com/jupyterhub/jupyterhub/pull/2628) ([@jtpio](https://github.com/jtpio))
+- Update doc: do not suggest depricated config key [#2626](https://github.com/jupyterhub/jupyterhub/pull/2626) ([@lumbric](https://github.com/lumbric))
+- Add missing words [#2625](https://github.com/jupyterhub/jupyterhub/pull/2625) ([@remram44](https://github.com/remram44))
+- cull-idle: Include a hint on how to add custom culling logic [#2613](https://github.com/jupyterhub/jupyterhub/pull/2613) ([@rkdarst](https://github.com/rkdarst))
+- Replace existing redirect code by Tornado's addslash decorator [#2609](https://github.com/jupyterhub/jupyterhub/pull/2609) ([@kinow](https://github.com/kinow))
+- Hide Stop My Server red button after server stopped. [#2577](https://github.com/jupyterhub/jupyterhub/pull/2577) ([@aar0nTw](https://github.com/aar0nTw))
+- Update link of `changelog` [#2565](https://github.com/jupyterhub/jupyterhub/pull/2565) ([@iblis17](https://github.com/iblis17))
+- typo [#2564](https://github.com/jupyterhub/jupyterhub/pull/2564) ([@julienchastang](https://github.com/julienchastang))
+- Update to simplify the language related to spawner options [#2558](https://github.com/jupyterhub/jupyterhub/pull/2558) ([@NikeNano](https://github.com/NikeNano))
+- Adding the use case of the Elucidata: How Jupyter Notebook is used in… [#2548](https://github.com/jupyterhub/jupyterhub/pull/2548) ([@IamViditAgarwal](https://github.com/IamViditAgarwal))
+- Dict rewritten as literal [#2546](https://github.com/jupyterhub/jupyterhub/pull/2546) ([@remyleone](https://github.com/remyleone))
+
+## 1.0
+
+### [1.0.0] 2019-05-03
+
+JupyterHub 1.0 is a major milestone for JupyterHub.
+Huge thanks to the many people who have contributed to this release,
+whether it was through discussion, testing, documentation, or development.
+
+#### Major new features
+
+- Support TLS encryption and authentication of all internal communication.
+  Spawners must implement `.move_certs` method to make certificates available
+  to the notebook server if it is not local to the Hub.
+- There is now full UI support for managing named servers.
+  With named servers, each jupyterhub user may have access to more than one named server. For example, a professor may access a server named `research` and another named `teaching`.
+
+  ![named servers on the home page](./images/named-servers-home.png)
+- Authenticators can now expire and refresh authentication data by implementing
+  `Authenticator.refresh_user(user)`.
+  This allows things like OAuth data and access tokens to be refreshed.
+  When used together with `Authenticator.refresh_pre_spawn = True`,
+  auth refresh can be forced prior to Spawn,
+  allowing the Authenticator to *require* that authentication data is fresh
+  immediately before the user's server is launched.
+
+```eval_rst
+.. seealso::
+
+  - :meth:`.Authenticator.refresh_user`
+  - :meth:`.Spawner.create_certs`
+  - :meth:`.Spawner.move_certs`
+```
+
+#### New features
+
+- allow custom spawners, authenticators, and proxies to register themselves via 'entry points', enabling more convenient configuration such as:
+
+  ```python
+  c.JupyterHub.authenticator_class = 'github'
+  c.JupyterHub.spawner_class = 'docker'
+  c.JupyterHub.proxy_class = 'traefik_etcd'
+  ```
+- Spawners are passed the tornado Handler object that requested their spawn (as `self.handler`),
+  so they can do things like make decisions based on query arguments in the request.
+- SimpleSpawner and DummyAuthenticator, which are useful for testing, have been merged into JupyterHub itself:
+
+  ```python
+  # For testing purposes only. Should not be used in production.
+  c.JupyterHub.authenticator_class = 'dummy'
+  c.JupyterHub.spawner_class = 'simple'
+  ```
+
+  These classes are **not** appropriate for production use. Only testing.
+- Add health check endpoint at `/hub/health`
+- Several prometheus metrics have been added (thanks to [Outreachy](https://www.outreachy.org/) applicants!)
+- A new API for registering user activity.
+  To prepare for the addition of [alternate proxy implementations](https://github.com/jupyterhub/traefik-proxy),
+  responsibility for tracking activity is taken away from the proxy
+  and moved to the notebook server (which already has activity tracking features).
+  Activity is now tracked by pushing it to the Hub from user servers instead of polling the
+  proxy API.
+- Dynamic `options_form` callables may now return an empty string
+  which will result in no options form being rendered.
+- `Spawner.user_options` is persisted to the database to be re-used,
+  so that a server spawned once via the form can be re-spawned via the API
+  with the same options.
+- Added `c.PAMAuthenticator.pam_normalize_username` option for round-tripping
+  usernames through PAM to retrieve the normalized form.
+- Added `c.JupyterHub.named_server_limit_per_user` configuration to limit
+  the number of named servers each user can have.
+  The default is 0, for no limit.
+- API requests to HubAuthenticated services (e.g. single-user servers)
+  may pass a token in the `Authorization` header,
+  matching authentication with the Hub API itself.
+- Added `Authenticator.is_admin(handler, authentication)` method
+  and `Authenticator.admin_groups` configuration for automatically
+  determining that a member of a group should be considered an admin.
+- New `c.Authenticator.post_auth_hook` configuration
+  that can be any callable of the form `async def hook(authenticator, handler, authentication=None):`.
+  This hook may transform the return value of `Authenticator.authenticate()`
+  and return a new authentication dictionary,
+  e.g. specifying admin privileges, group membership,
+  or custom white/blacklisting logic.
+  This hook is called *after* existing normalization and whitelist checking.
+- `Spawner.options_from_form` may now be async
+- Added `JupyterHub.shutdown_on_logout` option to trigger shutdown of a user's
+  servers when they log out.
+- When `Spawner.start` raises an Exception,
+  a message can be passed on to the user if the exception has a `.jupyterhub_message` attribute.
+
+
+#### Changes
+
+- Authentication methods such as `check_whitelist` should now take an additional
+  `authentication` argument
+  that will be a dictionary (default: None) of authentication data,
+  as returned by `Authenticator.authenticate()`:
+
+  ```python
+  def check_whitelist(self, username, authentication=None):
+      ...
+  ```
+
+  `authentication` should have a default value of None
+  for backward-compatibility with jupyterhub < 1.0.
+- Prometheus metrics page is now authenticated.
+  Any authenticated user may see the prometheus metrics.
+  To disable prometheus authentication,
+  set `JupyterHub.authenticate_prometheus = False`.
+- Visits to `/user/:name` no longer trigger an implicit launch of the user's server.
+  Instead, a page is shown indicating that the server is not running
+  with a link to request the spawn.
+- API requests to `/user/:name` for a not-running server will have status 503 instead of 404.
+- OAuth includes a confirmation page when attempting to visit another user's server,
+  so that users can choose to cancel authentication with the single-user server.
+  Confirmation is still skipped when accessing your own server.
+
+
+#### Fixed
+
+- Various fixes to improve Windows compatibility
+  (default Authenticator and Spawner still do not support Windows, but other Spawners may)
+- Fixed compatibility with Oracle db
+- Fewer redirects following a visit to the default `/` url
+- Error when progress is requested before progress is ready
+- Error when API requests are made to a not-running server without authentication
+- Avoid logging database password on connect if password is specified in `JupyterHub.db_url`.
+
+#### Development changes
+
+There have been several changes to the development process that shouldn't
+generally affect users of JupyterHub, but may affect contributors.
+In general, see `CONTRIBUTING.md` for contribution info or ask if you have questions.
+
+- JupyterHub has adopted `black` as a code autoformatter and `pre-commit`
+  as a tool for automatically running code formatting on commit.
+  This is meant to make it *easier* to contribute to JupyterHub,
+  so let us know if it's having the opposite effect.
+- JupyterHub has switched its test suite to using `pytest-asyncio` from `pytest-tornado`.
+- OAuth is now implemented internally using `oauthlib` instead of `python-oauth2`. This should have no effect on behavior.
+
+
+## 0.9
+
+### [0.9.6] 2019-04-01
+
+JupyterHub 0.9.6 is a security release.
+
+- Fixes an Open Redirect vulnerability (CVE-2019-10255).
+
+JupyterHub 0.9.5 included a partial fix for this issue.
+
+### [0.9.4] 2018-09-24
+
+JupyterHub 0.9.4 is a small bugfix release.
+
+- Fixes an  issue that required all running user servers to be restarted
+  when performing an upgrade from 0.8 to 0.9.
+- Fixes content-type for API endpoints back to `application/json`.
+  It was `text/html` in 0.9.0-0.9.3.
+
+### [0.9.3] 2018-09-12
+
+JupyterHub 0.9.3 contains small bugfixes and improvements
+
+- Fix token page and model handling of `expires_at`.
+  This field was missing from the REST API model for tokens
+  and could cause the token page to not render
+- Add keep-alive to progress event stream to avoid proxies dropping
+  the connection due to inactivity
+- Documentation and example improvements
+- Disable quit button when using notebook 5.6
+- Prototype new feature (may change prior to 1.0):
+  pass requesting Handler to Spawners during start,
+  accessible as `self.handler`
+
+### [0.9.2] 2018-08-10
+
+JupyterHub 0.9.2 contains small bugfixes and improvements.
+
+- Documentation and example improvements
+- Add `Spawner.consecutive_failure_limit` config for aborting the Hub if too many spawns fail in a row.
+- Fix for handling SIGTERM when run with asyncio (tornado 5)
+- Windows compatibility fixes
+
+
+### [0.9.1] 2018-07-04
+
+JupyterHub 0.9.1 contains a number of small bugfixes on top of 0.9.
+
+- Use a PID file for the proxy to decrease the likelihood that a leftover proxy process will prevent JupyterHub from restarting
+- `c.LocalProcessSpawner.shell_cmd` is now configurable
+- API requests to stopped servers (requests to the hub for `/user/:name/api/...`) fail with 404 rather than triggering a restart of the server
+- Compatibility fix for notebook 5.6.0 which will introduce further
+  security checks for local connections
+- Managed services always use localhost to talk to the Hub if the Hub listening on all interfaces
+- When using a URL prefix, the Hub route will be `JupyterHub.base_url` instead of unconditionally `/`
+- additional fixes and improvements
+
+### [0.9.0] 2018-06-15
+
+JupyterHub 0.9 is a major upgrade of JupyterHub.
+There are several changes to the database schema,
+so make sure to backup your database and run:
+
+    jupyterhub upgrade-db
+
+after upgrading jupyterhub.
+
+The biggest change for 0.9 is the switch to asyncio coroutines everywhere
+instead of tornado coroutines. Custom Spawners and Authenticators are still
+free to use tornado coroutines for async methods, as they will continue to
+work. As part of this upgrade, JupyterHub 0.9 drops support for Python < 3.5
+and tornado < 5.0.
+
+
+#### Changed
+
+- Require Python >= 3.5
+- Require tornado >= 5.0
+- Use asyncio coroutines throughout
+- Set status 409 for conflicting actions instead of 400,
+  e.g. creating users or groups that already exist.
+- timestamps in REST API continue to be UTC, but now include 'Z' suffix
+  to identify them as such.
+- REST API User model always includes `servers` dict,
+  not just when named servers are enabled.
+- `server` info is no longer available to oauth identification endpoints,
+  only user info and group membership.
+- `User.last_activity` may be None if a user has not been seen,
+  rather than starting with the user creation time
+  which is now separately stored as `User.created`.
+- static resources are now found in `$PREFIX/share/jupyterhub` instead of `share/jupyter/hub` for improved consistency.
+- Deprecate `.extra_log_file` config. Use pipe redirection instead:
+
+      jupyterhub &>> /var/log/jupyterhub.log
+
+- Add `JupyterHub.bind_url` config for setting the full bind URL of the proxy.
+  Sets ip, port, base_url all at once.
+- Add `JupyterHub.hub_bind_url` for setting the full host+port of the Hub.
+  `hub_bind_url` supports unix domain sockets, e.g.
+  `unix+http://%2Fsrv%2Fjupyterhub.sock`
+- Deprecate `JupyterHub.hub_connect_port` config in favor of `JupyterHub.hub_connect_url`. `hub_connect_ip` is not deprecated
+  and can still be used in the common case where only the ip address of the hub differs from the bind ip.
 
 #### Added
 
-- `Spawner.will_resume` for signalling that a single-user server is paused instead of stopped.
+- Spawners can define a `.progress` method which should be an async generator.
+  The generator should yield events of the form:
+  ```python
+  {
+    "message": "some-state-message",
+    "progress": 50,
+  }
+  ```
+  These messages will be shown with a progress bar on the spawn-pending page.
+  The `async_generator` package can be used to make async generators
+  compatible with Python 3.5.
+- track activity of individual API tokens
+- new REST API for managing API tokens at `/hub/api/user/tokens[/token-id]`
+- allow viewing/revoking tokens via token page
+- User creation time is available in the REST API as `User.created`
+- Server start time is stored as `Server.started`
+- `Spawner.start` may return a URL for connecting to a notebook instead of `(ip, port)`. This enables Spawners to launch servers that setup their own HTTPS.
+- Optimize database performance by disabling sqlalchemy expire_on_commit by default.
+- Add `python -m jupyterhub.dbutil shell` entrypoint for quickly
+  launching an IPython session connected to your JupyterHub database.
+- Include `User.auth_state` in user model on single-user REST endpoints for admins only.
+- Include `Server.state` in server model on REST endpoints for admins only.
+- Add `Authenticator.blacklist` for blacklisting users instead of whitelisting.
+- Pass `c.JupyterHub.tornado_settings['cookie_options']` down to Spawners
+  so that cookie options (e.g. `expires_days`) can be set globally for the whole application.
+- SIGINFO (`ctrl-t`) handler showing the current status of all running threads,
+  coroutines, and CPU/memory/FD consumption.
+- Add async `Spawner.get_options_form` alternative to `.options_form`, so it can be a coroutine.
+- Add `JupyterHub.redirect_to_server` config to govern whether
+  users should be sent to their server on login or the JupyterHub home page.
+- html page templates can be more easily customized and extended.
+- Allow registering external OAuth clients for using the Hub as an OAuth provider.
+- Add basic prometheus metrics at `/hub/metrics` endpoint.
+- Add session-id cookie, enabling immediate revocation of login tokens.
+- Authenticators may specify that users are admins by specifying the `admin` key when return the user model as a dict.
+- Added "Start All" button to admin page for launching all user servers at once.
+- Services have an `info` field which is a dictionary.
+  This is accessible via the REST API.
+- `JupyterHub.extra_handlers` allows defining additional tornado RequestHandlers attached to the Hub.
+- API tokens may now expire.
+  Expiry is available in the REST model as `expires_at`,
+  and settable when creating API tokens by specifying `expires_in`.
+
+
+#### Fixed
+
+- Remove green from theme to improve accessibility
+- Fix error when proxy deletion fails due to route already being deleted
+- clear `?redirects` from URL on successful launch
+- disable send2trash by default, which is rarely desirable for jupyterhub
+- Put PAM calls in a thread so they don't block the main application
+  in cases where PAM is slow (e.g. LDAP).
+- Remove implicit spawn from login handler,
+  instead relying on subsequent request for `/user/:name` to trigger spawn.
+- Fixed several inconsistencies for initial redirects,
+  depending on whether server is running or not and whether the user is logged in or not.
+- Admin requests for  `/user/:name` (when admin-access is enabled) launch the right server if it's not running instead of redirecting to their own.
+- Major performance improvement starting up JupyterHub with many users,
+  especially when most are inactive.
+- Various fixes in race conditions and performance improvements with the default proxy.
+- Fixes for CORS headers
+- Stop setting `.form-control` on spawner form inputs unconditionally.
+- Better recovery from database errors and database connection issues
+  without having to restart the Hub.
+- Fix handling of `~` character in usernames.
+- Fix jupyterhub startup when `getpass.getuser()` would fail,
+  e.g. due to missing entry in passwd file in containers.
+
+
+## 0.8
+
+### [0.8.1] 2017-11-07
+
+JupyterHub 0.8.1 is a collection of bugfixes and small improvements on 0.8.
+
+#### Added
+
+- Run tornado with AsyncIO by default
+- Add `jupyterhub --upgrade-db` flag for automatically upgrading the database as part of startup.
+  This is useful for cases where manually running `jupyterhub upgrade-db`
+  as a separate step is unwieldy.
+- Avoid creating backups of the database when no changes are to be made by
+  `jupyterhub upgrade-db`.
+
+#### Fixed
+
+- Add some further validation to usernames - `/` is not allowed in usernames.
+- Fix empty logout page when using auto_login
+- Fix autofill of username field in default login form.
+- Fix listing of users on the admin page who have not yet started their server.
+- Fix ever-growing traceback when re-raising Exceptions from spawn failures.
+- Remove use of deprecated `bower` for javascript client dependencies.
+
+
+### [0.8.0] 2017-10-03
+
+JupyterHub 0.8 is a big release!
+
+Perhaps the biggest change is the use of OAuth to negotiate authentication
+between the Hub and single-user services.
+Due to this change, it is important that the single-user server
+and Hub are both running the same version of JupyterHub.
+If you are using containers (e.g. via DockerSpawner or KubeSpawner),
+this means upgrading jupyterhub in your user images at the same time as the Hub.
+In most cases, a
+
+    pip install jupyterhub==version
+
+in your Dockerfile is sufficient.
+
+#### Added
+
+- JupyterHub now defined a `Proxy` API for custom
+  proxy implementations other than the default.
+  The defaults are unchanged,
+  but configuration of the proxy is now done on the `ConfigurableHTTPProxy` class instead of the top-level JupyterHub.
+  TODO: docs for writing a custom proxy.
+- Single-user servers and services
+  (anything that uses HubAuth)
+  can now accept token-authenticated requests via the Authentication header.
+- Authenticators can now store state in the Hub's database.
+  To do so, the `authenticate` method should return a dict of the form
+
+  ```python
+  {
+      'username': 'name',
+      'state': {}
+  }
+  ```
+
+  This data will be encrypted and requires `JUPYTERHUB_CRYPT_KEY` environment variable to be set
+  and the `Authenticator.enable_auth_state` flag to be True.
+  If these are not set, auth_state returned by the Authenticator will not be stored.
+- There is preliminary support for multiple (named) servers per user in the REST API.
+  Named servers can be created via API requests, but there is currently no UI for managing them.
+- Add `LocalProcessSpawner.popen_kwargs` and `LocalProcessSpawner.shell_cmd`
+  for customizing how user server processes are launched.
+- Add `Authenticator.auto_login` flag for skipping the "Login with..." page explicitly.
+- Add `JupyterHub.hub_connect_ip` configuration
+  for the ip that should be used when connecting to the Hub.
+  This is promoting (and deprecating) `DockerSpawner.hub_ip_connect`
+  for use by all Spawners.
+- Add `Spawner.pre_spawn_hook(spawner)` hook for customizing
+  pre-spawn events.
+- Add `JupyterHub.active_server_limit` and `JupyterHub.concurrent_spawn_limit`
+  for limiting the total number of running user servers and the number of pending spawns, respectively.
+
+
+#### Changed
+
+- more arguments to spawners are now passed via environment variables (`.get_env()`)
+  rather than CLI arguments (`.get_args()`)
+- internally generated tokens no longer get extra hash rounds,
+  significantly speeding up authentication.
+  The hash rounds were deemed unnecessary because the tokens were already
+  generated with high entropy.
+- `JUPYTERHUB_API_TOKEN` env is available at all times,
+  rather than being removed during single-user start.
+  The token is now accessible to kernel processes,
+  enabling user kernels to make authenticated API requests to Hub-authenticated services.
+- Cookie secrets should be 32B hex instead of large base64 secrets.
+- pycurl is used by default, if available.
+
+#### Fixed
+
+So many things fixed!
+
+- Collisions are checked when users are renamed
+- Fix bug where OAuth authenticators could not logout users
+  due to being redirected right back through the login process.
+- If there are errors loading your config files,
+  JupyterHub will refuse to start with an informative error.
+  Previously, the bad config would be ignored and JupyterHub would launch with default configuration.
+- Raise 403 error on unauthorized user rather than redirect to login,
+  which could cause redirect loop.
+- Set `httponly` on cookies because it's prudent.
+- Improve support for MySQL as the database backend
+- Many race conditions and performance problems under heavy load have been fixed.
+- Fix alembic tagging of database schema versions.
+
+#### Removed
+
+- End support for Python 3.3 
+
+## 0.7
+
+### [0.7.2] - 2017-01-09
+
+#### Added
+
+- Support service environment variables and defaults in `jupyterhub-singleuser`
+  for easier deployment of notebook servers as a Service.
+- Add `--group` parameter for deploying `jupyterhub-singleuser` as a Service with group authentication.
+- Include URL parameters when redirecting through `/user-redirect/`
+
+### Fixed
+
+- Fix group authentication for HubAuthenticated services
+
+### [0.7.1] - 2017-01-02
+
+#### Added
+
+- `Spawner.will_resume` for signaling that a single-user server is paused instead of stopped.
   This is needed for cases like `DockerSpawner.remove_containers = False`,
   where the first API token is re-used for subsequent spawns.
 - Warning on startup about single-character usernames,
@@ -132,7 +718,18 @@ Fix removal of `/login` page in 0.4.0, breaking some OAuth providers.
 First preview release
 
 
-[Unreleased]: https://github.com/jupyterhub/jupyterhub/compare/0.7.1...HEAD
+[Unreleased]: https://github.com/jupyterhub/jupyterhub/compare/1.1.0...HEAD
+[1.1.0]: https://github.com/jupyterhub/jupyterhub/compare/1.0.0...1.1.0
+[1.0.0]: https://github.com/jupyterhub/jupyterhub/compare/0.9.6...1.0.0
+[0.9.6]: https://github.com/jupyterhub/jupyterhub/compare/0.9.4...0.9.6
+[0.9.4]: https://github.com/jupyterhub/jupyterhub/compare/0.9.3...0.9.4
+[0.9.3]: https://github.com/jupyterhub/jupyterhub/compare/0.9.2...0.9.3
+[0.9.2]: https://github.com/jupyterhub/jupyterhub/compare/0.9.1...0.9.2
+[0.9.1]: https://github.com/jupyterhub/jupyterhub/compare/0.9.0...0.9.1
+[0.9.0]: https://github.com/jupyterhub/jupyterhub/compare/0.8.1...0.9.0
+[0.8.1]: https://github.com/jupyterhub/jupyterhub/compare/0.8.0...0.8.1
+[0.8.0]: https://github.com/jupyterhub/jupyterhub/compare/0.7.2...0.8.0
+[0.7.2]: https://github.com/jupyterhub/jupyterhub/compare/0.7.1...0.7.2
 [0.7.1]: https://github.com/jupyterhub/jupyterhub/compare/0.7.0...0.7.1
 [0.7.0]: https://github.com/jupyterhub/jupyterhub/compare/0.6.1...0.7.0
 [0.6.1]: https://github.com/jupyterhub/jupyterhub/compare/0.6.0...0.6.1

docs/source/conf.py

@@ -1,14 +1,11 @@
 # -*- coding: utf-8 -*-
 #
-import sys
 import os
 import shlex
-
-# For conversion from markdown to html
-import recommonmark.parser
+import sys
 
 # Set paths
-#sys.path.insert(0, os.path.abspath('.'))
+sys.path.insert(0, os.path.abspath('.'))
 
 # -- General configuration ------------------------------------------------
 
@@ -20,6 +17,9 @@ extensions = [
     'sphinx.ext.autodoc',
     'sphinx.ext.intersphinx',
     'sphinx.ext.napoleon',
+    'autodoc_traits',
+    'sphinx_copybutton',
+    'sphinx-jsonschema',
 ]
 
 templates_path = ['_templates']
@@ -34,11 +34,13 @@ author = u'Project Jupyter team'
 
 # Autopopulate version
 from os.path import dirname
+
 docs = dirname(dirname(__file__))
 root = dirname(docs)
 sys.path.insert(0, root)
 
 import jupyterhub
+
 # The short X.Y version.
 version = '%i.%i' % jupyterhub.version_info[:2]
 # The full version, including alpha/beta/rc tags.
@@ -49,83 +51,76 @@ exclude_patterns = []
 pygments_style = 'sphinx'
 todo_include_todos = False
 
+# Set the default role so we can use `foo` instead of ``foo``
+default_role = 'literal'
+
 # -- Source -------------------------------------------------------------
 
-source_parsers = {
-    '.md': 'recommonmark.parser.CommonMarkParser',
-}
+import recommonmark
+from recommonmark.transform import AutoStructify
+
+
+def setup(app):
+    app.add_config_value('recommonmark_config', {'enable_eval_rst': True}, True)
+    app.add_stylesheet('custom.css')
+    app.add_transform(AutoStructify)
+
+
+source_parsers = {'.md': 'recommonmark.parser.CommonMarkParser'}
 
 source_suffix = ['.rst', '.md']
-#source_encoding = 'utf-8-sig'
+# source_encoding = 'utf-8-sig'
 
 # -- Options for HTML output ----------------------------------------------
 
 # The theme to use for HTML and HTML Help pages.
-html_theme = 'sphinx_rtd_theme'
+html_theme = 'pandas_sphinx_theme'
 
-#html_theme_options = {}
-#html_theme_path = []
-#html_title = None
-#html_short_title = None
-#html_logo = None
-#html_favicon = None
+html_logo = '_static/images/logo/logo.png'
+html_favicon = '_static/images/logo/favicon.ico'
 
 # Paths that contain custom static files (such as style sheets)
 html_static_path = ['_static']
 
-#html_extra_path = []
-#html_last_updated_fmt = '%b %d, %Y'
-#html_use_smartypants = True
-#html_sidebars = {}
-#html_additional_pages = {}
-#html_domain_indices = True
-#html_use_index = True
-#html_split_index = False
-#html_show_sourcelink = True
-#html_show_sphinx = True
-#html_show_copyright = True
-#html_use_opensearch = ''
-#html_file_suffix = None
-#html_search_language = 'en'
-#html_search_options = {'type': 'default'}
-#html_search_scorer = 'scorer.js'
 htmlhelp_basename = 'JupyterHubdoc'
 
 # -- Options for LaTeX output ---------------------------------------------
 
 latex_elements = {
-#'papersize': 'letterpaper',
-#'pointsize': '10pt',
-#'preamble': '',
-#'figure_align': 'htbp',
+    # 'papersize': 'letterpaper',
+    # 'pointsize': '10pt',
+    # 'preamble': '',
+    # 'figure_align': 'htbp',
 }
 
 # Grouping the document tree into LaTeX files. List of tuples
 # (source start file, target name, title,
 #  author, documentclass [howto, manual, or own class]).
 latex_documents = [
-  (master_doc, 'JupyterHub.tex', u'JupyterHub Documentation',
-   u'Project Jupyter team', 'manual'),
+    (
+        master_doc,
+        'JupyterHub.tex',
+        u'JupyterHub Documentation',
+        u'Project Jupyter team',
+        'manual',
+    )
 ]
 
-#latex_logo = None
-#latex_use_parts = False
-#latex_show_pagerefs = False
-#latex_show_urls = False
-#latex_appendices = []
-#latex_domain_indices = True
+# latex_logo = None
+# latex_use_parts = False
+# latex_show_pagerefs = False
+# latex_show_urls = False
+# latex_appendices = []
+# latex_domain_indices = True
 
 
 # -- manual page output -------------------------------------------------
 
 # One entry per manual page. List of tuples
 # (source start file, name, description, authors, manual section).
-man_pages = [
-    (master_doc, 'jupyterhub', u'JupyterHub Documentation',
-     [author], 1)
-]
+man_pages = [(master_doc, 'jupyterhub', u'JupyterHub Documentation', [author], 1)]
 
-#man_show_urls = False
+# man_show_urls = False
 
 
 # -- Texinfo output -----------------------------------------------------
@@ -134,15 +129,21 @@ man_pages = [
 # (source start file, target name, title, author,
 #  dir menu entry, description, category)
 texinfo_documents = [
-  (master_doc, 'JupyterHub', u'JupyterHub Documentation',
-   author, 'JupyterHub', 'One line description of project.',
-   'Miscellaneous'),
+    (
+        master_doc,
+        'JupyterHub',
+        u'JupyterHub Documentation',
+        author,
+        'JupyterHub',
+        'One line description of project.',
+        'Miscellaneous',
+    )
 ]
 
-#texinfo_appendices = []
-#texinfo_domain_indices = True
-#texinfo_show_urls = 'footnote'
-#texinfo_no_detailmenu = False
+# texinfo_appendices = []
+# texinfo_domain_indices = True
+# texinfo_show_urls = 'footnote'
+# texinfo_no_detailmenu = False
 
 
 # -- Epub output --------------------------------------------------------
@@ -158,21 +159,16 @@ epub_exclude_files = ['search.html']
 
 # -- Intersphinx ----------------------------------------------------------
 
-intersphinx_mapping = {'https://docs.python.org/': None}
+intersphinx_mapping = {'https://docs.python.org/3/': None}
 
 # -- Read The Docs --------------------------------------------------------
 
 on_rtd = os.environ.get('READTHEDOCS', None) == 'True'
-
-if not on_rtd:
-    # only import and set the theme if we're building docs locally
-    import sphinx_rtd_theme
-    html_theme = 'sphinx_rtd_theme'
-    html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
-else:
+if on_rtd:
     # readthedocs.org uses their theme by default, so no need to specify it
     # build rest-api, since RTD doesn't run make
     from subprocess import check_call as sh
+
     sh(['make', 'rest-api'], cwd=docs)
 
 # -- Spell checking -------------------------------------------------------
@@ -184,4 +180,4 @@ except ImportError:
 else:
     extensions.append("sphinxcontrib.spelling")
 
-spelling_word_list_filename='spelling_wordlist.txt'
+spelling_word_list_filename = 'spelling_wordlist.txt'

docs/source/config-examples.md

@@ -1,194 +0,0 @@
-# Configuration examples
-
-This section provides configuration files and tips for the following
-configurations:
-
-- Example with GitHub OAuth
-- Example with nginx reverse proxy
-
-
-## Example with GitHub OAuth
-
-In the following example, we show a configuration files for a fairly standard JupyterHub deployment with the following assumptions:
-
-* JupyterHub is running on a single cloud server
-* Using SSL on the standard HTTPS port 443
-* You want to use GitHub OAuth (using oauthenticator) for login
-* You need the users to exist locally on the server
-* You want users' notebooks to be served from `~/assignments` to allow users to browse for notebooks within
-  other users home directories
-* You want the landing page for each user to be a Welcome.ipynb notebook in their assignments directory.
-* All runtime files are put into `/srv/jupyterhub` and log files in `/var/log`.
-
-Let's start out with `jupyterhub_config.py`:
-
-```python
-# jupyterhub_config.py
-c = get_config()
-
-import os
-pjoin = os.path.join
-
-runtime_dir = os.path.join('/srv/jupyterhub')
-ssl_dir = pjoin(runtime_dir, 'ssl')
-if not os.path.exists(ssl_dir):
-    os.makedirs(ssl_dir)
-
-
-# https on :443
-c.JupyterHub.port = 443
-c.JupyterHub.ssl_key = pjoin(ssl_dir, 'ssl.key')
-c.JupyterHub.ssl_cert = pjoin(ssl_dir, 'ssl.cert')
-
-# put the JupyterHub cookie secret and state db
-# in /var/run/jupyterhub
-c.JupyterHub.cookie_secret_file = pjoin(runtime_dir, 'cookie_secret')
-c.JupyterHub.db_url = pjoin(runtime_dir, 'jupyterhub.sqlite')
-# or `--db=/path/to/jupyterhub.sqlite` on the command-line
-
-# put the log file in /var/log
-c.JupyterHub.extra_log_file = '/var/log/jupyterhub.log'
-
-# use GitHub OAuthenticator for local users
-
-c.JupyterHub.authenticator_class = 'oauthenticator.LocalGitHubOAuthenticator'
-c.GitHubOAuthenticator.oauth_callback_url = os.environ['OAUTH_CALLBACK_URL']
-# create system users that don't exist yet
-c.LocalAuthenticator.create_system_users = True
-
-# specify users and admin
-c.Authenticator.whitelist = {'rgbkrk', 'minrk', 'jhamrick'}
-c.Authenticator.admin_users = {'jhamrick', 'rgbkrk'}
-
-# start single-user notebook servers in ~/assignments,
-# with ~/assignments/Welcome.ipynb as the default landing page
-# this config could also be put in
-# /etc/ipython/ipython_notebook_config.py
-c.Spawner.notebook_dir = '~/assignments'
-c.Spawner.args = ['--NotebookApp.default_url=/notebooks/Welcome.ipynb']
-```
-
-Using the GitHub Authenticator [requires a few additional env variables][oauth-setup],
-which we will need to set when we launch the server:
-
-```bash
-export GITHUB_CLIENT_ID=github_id
-export GITHUB_CLIENT_SECRET=github_secret
-export OAUTH_CALLBACK_URL=https://example.com/hub/oauth_callback
-export CONFIGPROXY_AUTH_TOKEN=super-secret
-jupyterhub -f /path/to/aboveconfig.py
-```
-
-## Example with nginx reverse proxy
-
-In the following example, we show configuration files for a JupyterHub server running locally on port `8000` but accessible from the outside on the standard SSL port `443`. This could be useful if the JupyterHub server machine is also hosting other domains or content on `443`. The goal here is to have the following be true:
-
-* JupyterHub is running on a server, accessed *only* via `HUB.DOMAIN.TLD:443`
-* On the same machine, `NO_HUB.DOMAIN.TLD` strictly serves different content, also on port `443`
-* `nginx` is used to manage the web servers / reverse proxy (which means that only nginx will be able to bind two servers to `443`)
-* After testing, the server in question should be able to score an A+ on the Qualys SSL Labs [SSL Server Test](https://www.ssllabs.com/ssltest/)
-
-Let's start out with `jupyterhub_config.py`:
-
-```python
-# Force the proxy to only listen to connections to 127.0.0.1
-c.JupyterHub.ip = '127.0.0.1'
-```
-
-The `nginx` server config files are fairly standard fare except for the two `location` blocks within the `HUB.DOMAIN.TLD` config file:
-
-```bash
-# HTTP server to redirect all 80 traffic to SSL/HTTPS
-server {
-	listen 80;
-	server_name HUB.DOMAIN.TLD;
-
-	# Tell all requests to port 80 to be 302 redirected to HTTPS
-	return 302 https://$host$request_uri;
-}
-
-# HTTPS server to handle JupyterHub
-server {
-	listen 443;
-	ssl on;
-
-	server_name HUB.DOMAIN.TLD;
-
-	ssl_certificate /etc/letsencrypt/live/HUB.DOMAIN.TLD/fullchain.pem
-	ssl_certificate_key /etc/letsencrypt/live/HUB.DOMAIN.TLD/privkey.pem
-
-	ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
-    ssl_prefer_server_ciphers on;
-    ssl_dhparam /etc/ssl/certs/dhparam.pem;
-    ssl_ciphers 'ECDHE-RSA-AES128-GCM-SHA256:ECDHE-ECDSA-AES128-GCM-SHA256:ECDHE-RSA-AES256-GCM-SHA384:ECDHE-ECDSA-AES256-GCM-SHA384:DHE-RSA-AES128-GCM-SHA256:DHE-DSS-AES128-GCM-SHA256:kEDH+AESGCM:ECDHE-RSA-AES128-SHA256:ECDHE-ECDSA-AES128-SHA256:ECDHE-RSA-AES128-SHA:ECDHE-ECDSA-AES128-SHA:ECDHE-RSA-AES256-SHA384:ECDHE-ECDSA-AES256-SHA384:ECDHE-RSA-AES256-SHA:ECDHE-ECDSA-AES256-SHA:DHE-RSA-AES128-SHA256:DHE-RSA-AES128-SHA:DHE-DSS-AES128-SHA256:DHE-RSA-AES256-SHA256:DHE-DSS-AES256-SHA:DHE-RSA-AES256-SHA:AES128-GCM-SHA256:AES256-GCM-SHA384:AES128-SHA256:AES256-SHA256:AES128-SHA:AES256-SHA:AES:CAMELLIA:DES-CBC3-SHA:!aNULL:!eNULL:!EXPORT:!DES:!RC4:!MD5:!PSK:!aECDH:!EDH-DSS-DES-CBC3-SHA:!EDH-RSA-DES-CBC3-SHA:!KRB5-DES-CBC3-SHA';
-    ssl_session_timeout 1d;
-    ssl_session_cache shared:SSL:50m;
-    ssl_stapling on;
-    ssl_stapling_verify on;
-    add_header Strict-Transport-Security max-age=15768000;
-
-	# Managing literal requests to the JupyterHub front end
-	location / {
-		proxy_pass https://127.0.0.1:8000;
-		proxy_set_header X-Real-IP $remote_addr;
-		proxy_set_header Host $host;
-		proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-    }
-
-	# Managing WebHook/Socket requests between hub user servers and external proxy
-    location ~* /(api/kernels/[^/]+/(channels|iopub|shell|stdin)|terminals/websocket)/? {
-		proxy_pass https://127.0.0.1:8000;
-
-		proxy_set_header X-Real-IP $remote_addr;
-		proxy_set_header Host $host;
-		proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-		# WebSocket support
-		proxy_http_version 1.1;
-		proxy_set_header Upgrade $http_upgrade;
-		proxy_set_header Connection $connection_upgrade;
-
-    }
-
-	# Managing requests to verify letsencrypt host
-    location ~ /.well-known {
-		allow all;
-    }
-
-
-}
-```
-
-`nginx` will now be the front facing element of JupyterHub on `443` which means it is also free to bind other servers, like `NO_HUB.DOMAIN.TLD` to the same port on the same machine and network interface. In fact, one can simply use the same server blocks as above for `NO_HUB` and simply add line for the root directory of the site as well as the applicable location call:
-
-```bash
-server {
-	listen 80;
-	server_name NO_HUB.DOMAIN.TLD;
-
-	# Tell all requests to port 80 to be 302 redirected to HTTPS
-	return 302 https://$host$request_uri;
-}
-
-server {
-	listen 443;
-	ssl on;
-
-	# INSERT OTHER SSL PARAMETERS HERE AS ABOVE
-
-	# Set the appropriate root directory
-	root /var/www/html
-
-	# Set URI handling
-	location / {
-		try_files $uri $uri/ =404;
-	}
-
-	# Managing requests to verify letsencrypt host
-    location ~ /.well-known {
-		allow all;
-    }
-
-}
-```
-
-Now just restart `nginx`, restart the JupyterHub, and enjoy accessing https://HUB.DOMAIN.TLD while serving other content securely on https://NO_HUB.DOMAIN.TLD.

docs/source/contributing/community.rst

@@ -0,0 +1,30 @@
+.. _contributing/community:
+
+================================
+Community communication channels
+================================
+
+We use `Discourse <https://discourse.jupyter.org>` for online discussion.
+Everyone in the Jupyter community is welcome to bring ideas and questions there.
+In addition, we use `Gitter <https://gitter.im>`_ for online, real-time text chat,
+a place for more ephemeral discussions.
+The primary Gitter channel for JupyterHub is `jupyterhub/jupyterhub <https://gitter.im/jupyterhub/jupyterhub>`_.
+Gitter isn't archived or searchable, so we recommend going to discourse first
+to make sure that discussions are most useful and accessible to the community.
+Remember that our community is distributed across the world in various
+timezones, so be patient if you do not get an answer immediately!
+
+GitHub issues are used for most long-form project discussions, bug reports
+and feature requests. Issues related to a specific authenticator or
+spawner should be directed to the appropriate repository for the
+authenticator or spawner. If you are using a specific JupyterHub
+distribution (such as `Zero to JupyterHub on Kubernetes <http://github.com/jupyterhub/zero-to-jupyterhub-k8s>`_
+or `The Littlest JupyterHub <http://github.com/jupyterhub/the-littlest-jupyterhub/>`_),
+you should open issues directly in their repository. If you can not
+find a repository to open your issue in, do not worry! Create it in the `main
+JupyterHub repository <https://github.com/jupyterhub/jupyterhub/>`_ and our
+community will help you figure it out.
+
+A `mailing list <https://groups.google.com/forum/#!forum/jupyter>`_ for all
+of Project Jupyter exists, along with one for `teaching with Jupyter
+<https://groups.google.com/forum/#!forum/jupyter-education>`_. 

docs/source/contributing/docs.rst

@@ -0,0 +1,78 @@
+.. _contributing/docs:
+
+==========================
+Contributing Documentation
+==========================
+
+Documentation is often more important than code. This page helps
+you get set up on how to contribute documentation to JupyterHub.
+
+Building documentation locally
+==============================
+
+We use `sphinx <http://sphinx-doc.org>`_ to build our documentation. It takes
+our documentation source files (written in `markdown
+<https://daringfireball.net/projects/markdown/>`_ or `reStructuredText
+<http://www.sphinx-doc.org/en/master/usage/restructuredtext/basics.html>`_ &
+stored under the ``docs/source`` directory) and converts it into various
+formats for people to read. To make sure the documentation you write or
+change renders correctly, it is good practice to test it locally.
+
+#. Make sure you have successfuly completed :ref:`contributing/setup`.
+
+#. Install the packages required to build the docs.
+
+   .. code-block:: bash
+
+      python3 -m pip install -r docs/requirements.txt
+
+#. Build the html version of the docs. This is the most commonly used
+   output format, so verifying it renders as you should is usually good
+   enough.
+
+   .. code-block:: bash
+
+      cd docs
+      make html
+
+   This step will display any syntax or formatting errors in the documentation,
+   along with the filename / line number in which they occurred. Fix them,
+   and re-run the ``make html`` command to re-render the documentation.
+
+#. View the rendered documentation by opening ``build/html/index.html`` in 
+   a web browser. 
+
+   .. tip::
+
+      On macOS, you can open a file from the terminal with ``open <path-to-file>``.
+      On Linux, you can do the same with ``xdg-open <path-to-file>``.
+
+
+.. _contributing/docs/conventions:
+
+Documentation conventions
+=========================
+
+This section lists various conventions we use in our documentation. This is a
+living document that grows over time, so feel free to add to it / change it!
+
+Our entire documentation does not yet fully conform to these conventions yet,
+so help in making it so would be appreciated!
+
+``pip`` invocation
+------------------
+
+There are many ways to invoke a ``pip`` command, we recommend the following
+approach:
+
+.. code-block:: bash
+
+   python3 -m pip
+
+This invokes pip explicitly using the python3 binary that you are
+currently using. This is the **recommended way** to invoke pip
+in our documentation, since it is least likely to cause problems
+with python3 and pip being from different environments.
+
+For more information on how to invoke ``pip`` commands, see
+`the pip documentation <https://pip.pypa.io/en/stable/>`_.

docs/source/contributing/index.rst

@@ -0,0 +1,21 @@
+============
+Contributing
+============
+
+We want you to contribute to JupyterHub in ways that are most exciting
+& useful to you. We value documentation, testing, bug reporting & code equally,
+and are glad to have your contributions in whatever form you wish :)
+
+Our `Code of Conduct <https://github.com/jupyter/governance/blob/master/conduct/code_of_conduct.md>`_
+(`reporting guidelines <https://github.com/jupyter/governance/blob/master/conduct/reporting_online.md>`_)
+helps keep our community welcoming to as many people as possible.
+
+.. toctree::
+   :maxdepth: 2
+
+   community
+   setup
+   docs
+   tests
+   roadmap
+   security

docs/source/contributing/roadmap.md

@@ -0,0 +1,98 @@
+# The JupyterHub roadmap
+
+This roadmap collects "next steps" for JupyterHub. It is about creating a
+shared understanding of the project's vision and direction amongst
+the community of users, contributors, and maintainers.
+The goal is to communicate priorities and upcoming release plans.
+It is not a aimed at limiting contributions to what is listed here.
+
+
+## Using the roadmap
+### Sharing Feedback on the Roadmap
+
+All of the community is encouraged to provide feedback as well as share new
+ideas with the community. Please do so by submitting an issue. If you want to
+have an informal conversation first use one of the other communication channels.
+After submitting the issue, others from the community will probably
+respond with questions or comments they have to clarify the issue. The
+maintainers will help identify what a good next step is for the issue.
+
+### What do we mean by "next step"?
+
+When submitting an issue, think about what "next step" category best describes
+your issue:
+
+* **now**, concrete/actionable step that is ready for someone to start work on.
+These might be items that have a link to an issue or more abstract like
+"decrease typos and dead links in the documentation"
+* **soon**, less concrete/actionable step that is going to happen soon,
+discussions around the topic are coming close to an end at which point it can
+move into the "now" category
+* **later**, abstract ideas or tasks, need a lot of discussion or
+experimentation to shape the idea so that it can be executed. Can also
+contain concrete/actionable steps that have been postponed on purpose
+(these are steps that could be in "now" but the decision was taken to work on
+them later)
+
+### Reviewing and Updating the Roadmap
+
+The roadmap will get updated as time passes (next review by 1st December) based
+on discussions and ideas captured as issues.
+This means this list should not be exhaustive, it should only represent
+the "top of the stack" of ideas. It should
+not function as a wish list, collection of feature requests or todo list.
+For those please create a
+[new issue](https://github.com/jupyterhub/jupyterhub/issues/new).
+
+The roadmap should give the reader an idea of what is happening next, what needs
+input and discussion before it can happen and what has been postponed.
+
+
+## The roadmap proper
+### Project vision
+
+JupyterHub is a dependable tool used by humans that reduces the complexity of
+creating the environment in which a piece of software can be executed.
+
+### Now
+
+These "Now" items are considered active areas of focus for the project:
+
+* HubShare - a sharing service for use with JupyterHub.
+    * Users should be able to:
+        - Push a project to other users.
+        - Get a checkout of a project from other users.
+        - Push updates to a published project.
+        - Pull updates from a published project.
+        - Manage conflicts/merges by simply picking a version (our/theirs)
+        - Get a checkout of a project from the internet. These steps are completely different from saving notebooks/files.
+        - Have directories that are managed by git completely separately from our stuff.
+        - Look at pushed content that they have access to without an explicit pull.
+        - Define and manage teams of users.
+            - Adding/removing a user to/from a team gives/removes them access to all projects that team has access to.
+        - Build other services, such as static HTML publishing and dashboarding on top of these things.
+
+
+### Soon
+
+These "Soon" items are under discussion. Once an item reaches the point of an
+actionable plan, the item will be moved to the "Now" section. Typically,
+these will be moved at a future review of the roadmap.
+
+* resource monitoring and management:
+    - (prometheus?) API for resource monitoring
+    - tracking activity on single-user servers instead of the proxy
+    - notes and activity tracking per API token
+    - UI for managing named servers
+
+
+### Later
+
+The "Later" items are things that are at the back of the project's mind. At this
+time there is no active plan for an item. The project would like to find the
+resources and time to discuss these ideas.
+
+- real-time collaboration
+    - Enter into real-time collaboration mode for a project that starts a shared execution context.
+    - Once the single-user notebook package supports realtime collaboration,
+      implement sharing mechanism integrated into the Hub.

docs/source/contributing/security.rst

@@ -0,0 +1,10 @@
+Reporting security issues in Jupyter or JupyterHub
+==================================================
+
+If you find a security vulnerability in Jupyter or JupyterHub,
+whether it is a failure of the security model described in :doc:`../reference/websecurity`
+or a failure in implementation,
+please report it to security@ipython.org.
+
+If you prefer to encrypt your security reports,
+you can use :download:`this PGP public key </ipython_security.asc>`.

docs/source/contributing/setup.rst

@@ -0,0 +1,175 @@
+.. _contributing/setup:
+
+================================
+Setting up a development install
+================================
+
+System requirements
+===================
+
+JupyterHub can only run on MacOS or Linux operating systems. If you are
+using Windows, we recommend using `VirtualBox <https://virtualbox.org>`_ 
+or a similar system to run `Ubuntu Linux <https://ubuntu.com>`_ for
+development.
+
+Install Python
+--------------
+
+JupyterHub is written in the `Python <https://python.org>`_ programming language, and
+requires you have at least version 3.5 installed locally. If you haven’t
+installed Python before, the recommended way to install it is to use
+`miniconda <https://conda.io/miniconda.html>`_. Remember to get the ‘Python 3’ version, 
+and **not** the ‘Python 2’ version!
+
+Install nodejs
+--------------
+
+``configurable-http-proxy``, the default proxy implementation for
+JupyterHub, is written in Javascript to run on `NodeJS
+<https://nodejs.org/en/>`_. If you have not installed nodejs before, we
+recommend installing it in the ``miniconda`` environment you set up for
+Python. You can do so with ``conda install nodejs``.
+
+Install git
+-----------
+
+JupyterHub uses `git <https://git-scm.com>`_ & `GitHub <https://github.com>`_
+for development & collaboration. You need to `install git
+<https://git-scm.com/book/en/v2/Getting-Started-Installing-Git>`_ to work on
+JupyterHub. We also recommend getting a free account on GitHub.com.
+
+Setting up a development install
+================================
+
+When developing JupyterHub, you need to make changes to the code & see
+their effects quickly. You need to do a developer install to make that
+happen.
+
+1. Clone the `JupyterHub git repository <https://github.com/jupyterhub/jupyterhub>`_ 
+   to your computer.
+
+   .. code:: bash
+
+      git clone https://github.com/jupyterhub/jupyterhub
+      cd jupyterhub
+
+2. Make sure the ``python`` you installed and the ``npm`` you installed
+   are available to you on the command line.
+
+   .. code:: bash
+
+      python -V
+
+   This should return a version number greater than or equal to 3.5.
+
+   .. code:: bash
+
+      npm -v
+
+   This should return a version number greater than or equal to 5.0.
+
+3. Install ``configurable-http-proxy``. This is required to run
+   JupyterHub.
+
+   .. code:: bash
+
+      npm install -g configurable-http-proxy
+
+   If you get an error that says ``Error: EACCES: permission denied``,
+   you might need to prefix the command with ``sudo``. If you do not
+   have access to sudo, you may instead run the following commands:
+
+   .. code:: bash
+
+      npm install configurable-http-proxy
+      export PATH=$PATH:$(pwd)/node_modules/.bin
+
+   The second line needs to be run every time you open a new terminal.
+
+4. Install the python packages required for JupyterHub development.
+
+   .. code:: bash
+
+      python3 -m pip install -r dev-requirements.txt
+      python3 -m pip install -r requirements.txt
+
+5. Install the development version of JupyterHub. This lets you edit
+   JupyterHub code in a text editor & restart the JupyterHub process to
+   see your code changes immediately.
+
+   .. code:: bash
+
+      python3 -m pip install --editable .
+
+6. You are now ready to start JupyterHub!
+
+   .. code:: bash
+
+      jupyterhub
+
+7. You can access JupyterHub from your browser at
+   ``http://localhost:8000`` now.
+
+Happy developing!
+
+Using DummyAuthenticator & SimpleLocalProcessSpawner
+====================================================
+
+To simplify testing of JupyterHub, it’s helpful to use
+:class:`~jupyterhub.auth.DummyAuthenticator` instead of the default JupyterHub
+authenticator and SimpleLocalProcessSpawner instead of the default spawner.
+
+There is a sample configuration file that does this in
+``testing/jupyterhub_config.py``. To launch jupyterhub with this
+configuration:
+
+.. code:: bash
+
+   jupyterhub -f testing/jupyterhub_config.py
+
+The default JupyterHub `authenticator
+<https://jupyterhub.readthedocs.io/en/stable/reference/authenticators.html#the-default-pam-authenticator>`_
+& `spawner
+<https://jupyterhub.readthedocs.io/en/stable/api/spawner.html#localprocessspawner>`_
+require your system to have user accounts for each user you want to log in to
+JupyterHub as.
+
+DummyAuthenticator allows you to log in with any username & password,
+while SimpleLocalProcessSpawner allows you to start servers without having to
+create a unix user for each JupyterHub user. Together, these make it
+much easier to test JupyterHub.
+
+Tip: If you are working on parts of JupyterHub that are common to all
+authenticators & spawners, we recommend using both DummyAuthenticator &
+SimpleLocalProcessSpawner. If you are working on just authenticator related
+parts, use only SimpleLocalProcessSpawner. Similarly, if you are working on
+just spawner related parts, use only DummyAuthenticator.
+
+Troubleshooting
+===============
+
+This section lists common ways setting up your development environment may
+fail, and how to fix them. Please add to the list if you encounter yet
+another way it can fail!
+
+``lessc`` not found
+-------------------
+
+If the ``python3 -m pip install --editable .`` command fails and complains about
+``lessc`` being unavailable, you may need to explicitly install some
+additional JavaScript dependencies:
+
+.. code:: bash
+
+   npm install
+
+This will fetch client-side JavaScript dependencies necessary to compile
+CSS.
+
+You may also need to manually update JavaScript and CSS after some
+development updates, with:
+
+.. code:: bash
+
+   python3 setup.py js    # fetch updated client-side js
+   python3 setup.py css   # recompile CSS from LESS sources

docs/source/contributing/tests.rst

@@ -0,0 +1,68 @@
+.. _contributing/tests:
+
+==================
+Testing JupyterHub
+==================
+
+Unit test help validate that JupyterHub works the way we think it does,
+and continues to do so when changes occur. They also help communicate
+precisely what we expect our code to do. 
+
+JupyterHub uses `pytest <https://pytest.org>`_ for all our tests. You
+can find them under ``jupyterhub/tests`` directory in the git repository.
+
+Running the tests
+==================
+
+#. Make sure you have completed :ref:`contributing/setup`. You should be able
+   to start ``jupyterhub`` from the commandline & access it from your
+   web browser. This ensures that the dev environment is properly set
+   up for tests to run.
+
+#. You can run all tests in JupyterHub 
+
+   .. code-block:: bash
+
+      pytest -v jupyterhub/tests
+
+   This should display progress as it runs all the tests, printing
+   information about any test failures as they occur.
+   
+   If you wish to confirm test coverage the run tests with the `--cov` flag:
+
+   .. code-block:: bash
+
+      pytest -v --cov=jupyterhub jupyterhub/tests
+
+#. You can also run tests in just a specific file:
+
+   .. code-block:: bash
+
+      pytest -v jupyterhub/tests/<test-file-name>
+
+#. To run a specific test only, you can do:
+
+   .. code-block:: bash
+
+      pytest -v jupyterhub/tests/<test-file-name>::<test-name>
+
+   This runs the test with function name ``<test-name>`` defined in
+   ``<test-file-name>``. This is very useful when you are iteratively
+   developing a single test.
+
+   For example, to run the test ``test_shutdown`` in the file ``test_api.py``,
+   you would run:
+
+   .. code-block:: bash
+      
+      pytest -v jupyterhub/tests/test_api.py::test_shutdown
+
+
+Troubleshooting Test Failures
+=============================
+
+All the tests are failing
+-------------------------
+
+Make sure you have completed all the steps in :ref:`contributing/setup` sucessfully, and
+can launch ``jupyterhub`` from the terminal.

docs/source/contributor-list.md

@@ -3,56 +3,120 @@
 Project Jupyter thanks the following people for their help and
 contribution on JupyterHub:
 
+- adelcast
+- Analect
 - anderbubble
+- anikitml
+- ankitksharma
+- apetresc
+- athornton
+- barrachri
+- BerserkerTroll
 - betatim
 - Carreau
+- cfournie
+- charnpreetsingh
+- chicovenancio
+- cikao
 - ckald
+- cmoscardi
+- consideRatio
+- cqzlxl
+- CRegenschein
 - cwaldbieser
 - danielballen
+- danoventa
 - daradib
+- darky2004
 - datapolitan
 - dblockow-d2dcrc
+- DeepHorizons
+- DerekHeldtWerle
+- dhirschfeld
 - dietmarw
+- dingc3
+- dmartzol
 - DominicFollettSmith
 - dsblank
+- dtaniwaki
+- echarles
 - ellisonbg
+- emmanuel
 - evanlinde
 - Fokko
+- fperez
+- franga2000
+- GladysNalvarte
+- glenak1911
+- gweis
 - iamed18
+- jamescurtin
 - JamiesHQ
+- JasonJWilliamsNY
+- jbweston
 - jdavidheiser
+- jencabral
 - jhamrick
+- jkinkead
+- johnkpark
 - josephtate
+- jzf2101
+- karfai
 - kinuax
 - KrishnaPG
+- kroq-gar78
 - ksolan
 - mbmilligan
+- mgeplf
 - minrk
 - mistercrunch
 - Mistobaan
+- mpacer
 - mwmarkland
+- ndly
 - nthiery
+- nxg
 - ObiWahn
 - ozancaglayan
+- paccorsi
 - parente
 - PeterDaveHello
 - peterruppel
+- phill84
+- pjamason
+- prasadkatti
 - rafael-ladislau
+- rcthomas
 - rgbkrk
+- rkdarst
 - robnagler
+- rschroll
 - ryanlovett
+- sangramga
 - Scrypy
+- schon
 - shreddd
+- Siecje
+- smiller5678
 - spoorthyv
 - ssanderson
+- summerswallow
+- syutbai
 - takluyver
 - temogen
+- ThomasMChen
+- Thoralf Gutierrez
+- timfreund
 - TimShawver
+- tklever
 - Todd-Z-Li
 - toobaz
 - tsaeger
+- tschaume
 - vilhelmen
+- whitead
 - willingc
 - YannBrrd
 - yuvipanda
 - zoltan-fedor
+- zonca

docs/source/events/index.rst

@@ -0,0 +1,50 @@
+Eventlogging and Telemetry
+==========================
+
+JupyterHub can be configured to record structured events from a running server using Jupyter's `Telemetry System`_. The types of events that JupyterHub emits are defined by `JSON schemas`_ listed below_
+
+ emitted as JSON data, defined and validated by the JSON schemas listed below.
+
+
+.. _logging: https://docs.python.org/3/library/logging.html
+.. _`Telemetry System`: https://github.com/jupyter/telemetry
+.. _`JSON schemas`: https://json-schema.org/
+
+How to emit events
+------------------
+
+Event logging is handled by its ``Eventlog`` object. This leverages Python's standing logging_ library to emit, filter, and collect event data. 
+
+
+To begin recording events, you'll need to set two configurations:
+
+    1. ``handlers``: tells the EventLog *where* to route your events. This trait is a list of Python logging handlers that route events to 
+    2. ``allows_schemas``: tells the EventLog *which* events should be recorded. No events are emitted by default; all recorded events must be listed here.
+
+Here's a basic example:
+
+.. code-block::
+
+    import logging
+
+    c.EventLog.handlers = [
+        logging.FileHandler('event.log'),
+    ]
+
+    c.EventLog.allowed_schemas = [
+        'hub.jupyter.org/server-action'
+    ]
+
+The output is a file, ``"event.log"``, with events recorded as JSON data.
+
+
+
+.. _below:
+
+Event schemas
+-------------
+
+.. toctree::
+   :maxdepth: 2
+
+   server-actions.rst

docs/source/events/server-actions.rst

@@ -0,0 +1 @@
+.. jsonschema:: ../../../jupyterhub/event-schemas/server-actions/v1.yaml

docs/source/gallery-jhub-deployments.md

@@ -0,0 +1,191 @@
+# A Gallery of JupyterHub Deployments
+
+**A JupyterHub Community Resource**
+
+We've compiled this list of JupyterHub deployments to help the community
+see the breadth and growth of JupyterHub's use in education, research, and
+high performance computing.
+
+Please submit pull requests to update information or to add new institutions or uses.
+
+
+## Academic Institutions, Research Labs, and Supercomputer Centers
+
+### University of California Berkeley
+
+- [BIDS - Berkeley Institute for Data Science](https://bids.berkeley.edu/)
+    - [Teaching with Jupyter notebooks and JupyterHub](https://bids.berkeley.edu/resources/videos/teaching-ipythonjupyter-notebooks-and-jupyterhub)
+
+- [Data 8](http://data8.org/)
+    - [GitHub organization](https://github.com/data-8)
+
+- [NERSC](http://www.nersc.gov/)
+    - [Press release on Jupyter and Cori](http://www.nersc.gov/news-publications/nersc-news/nersc-center-news/2016/jupyter-notebooks-will-open-up-new-possibilities-on-nerscs-cori-supercomputer/)
+    - [Moving and sharing data](https://www.nersc.gov/assets/Uploads/03-MovingAndSharingData-Cholia.pdf)
+
+- [Research IT](http://research-it.berkeley.edu)
+    - [JupyterHub server supports campus research computation](http://research-it.berkeley.edu/blog/17/01/24/free-fully-loaded-jupyterhub-server-supports-campus-research-computation)
+
+### University of California Davis
+
+- [Spinning up multiple Jupyter Notebooks on AWS for a tutorial](https://github.com/mblmicdiv/course2017/blob/master/exercises/sourmash-setup.md)
+
+Although not technically a JupyterHub deployment, this tutorial setup
+may be helpful to others in the Jupyter community.
+
+Thank you C. Titus Brown for sharing this with the Software Carpentry
+mailing list.
+
+```
+* I started a big Amazon machine;
+* I installed Docker and built a custom image containing my software of
+  interest;
+* I ran multiple containers, one connected to port 8000, one on 8001,
+  etc. and gave each student a different port;
+* students could connect in and use the Terminal program in Jupyter to
+  execute commands, and could upload/download files via the Jupyter
+  console interface;
+* in theory I could have used notebooks too, but for this I didn’t have
+  need.
+
+I am aware that JupyterHub can probably do all of this including manage
+the containers, but I’m still a bit shy of diving into that; this was
+fairly straightforward, gave me disposable containers that were isolated
+for each individual student, and worked almost flawlessly.  Should be
+easy to do with RStudio too.
+```
+
+### Cal Poly San Luis Obispo
+
+- [jupyterhub-deploy-teaching](https://github.com/jupyterhub/jupyterhub-deploy-teaching) based on work by Brian Granger for Cal Poly's Data Science 301 Course
+
+### Clemson University
+
+- Advanced Computing
+    - [Palmetto cluster and JupyterHub](http://citi.sites.clemson.edu/2016/08/18/JupyterHub-for-Palmetto-Cluster.html)
+
+### University of Colorado Boulder
+
+- (CU Research Computing) CURC
+    - [JupyterHub User Guide](https://www.rc.colorado.edu/support/user-guide/jupyterhub.html)
+        - Slurm job dispatched on Crestone compute cluster
+        - log troubleshooting
+        - Profiles in IPython Clusters tab
+    - [Parallel Processing with JupyterHub tutorial](https://www.rc.colorado.edu/support/examples-and-tutorials/parallel-processing-with-jupyterhub.html)
+    - [Parallel Programming with JupyterHub document](https://www.rc.colorado.edu/book/export/html/833)
+
+- Earth Lab at CU
+    - [Tutorial on Parallel R on JupyterHub](https://earthdatascience.org/tutorials/parallel-r-on-jupyterhub/)
+
+### George Washington University
+
+- [Jupyter Hub](http://go.gwu.edu/jupyter) with university single-sign-on. Deployed early 2017.
+
+### HTCondor
+
+- [HTCondor Python Bindings Tutorial from HTCondor Week 2017 includes information on their JupyterHub tutorials](https://research.cs.wisc.edu/htcondor/HTCondorWeek2017/presentations/TueBockelman_Python.pdf)
+
+### University of Illinois
+
+- https://datascience.business.illinois.edu (currently down; checked 04/26/19)
+
+### IllustrisTNG Simulation Project
+
+- [JupyterHub/Lab-based analysis platform, part of the TNG public data release](http://www.tng-project.org/data/)
+
+### MIT and Lincoln Labs
+
+- https://supercloud.mit.edu/
+
+### Michigan State University
+
+- [Setting up JupyterHub](https://mediaspace.msu.edu/media/Setting+Up+Your+JupyterHub+Password/1_hgv13aag/11980471)
+
+### University of Minnesota
+
+- [JupyterHub Inside HPC](https://insidehpc.com/tag/jupyterhub/)
+
+### University of Missouri
+
+- https://dsa.missouri.edu/faq/
+
+### Paderborn University
+
+- [Data Science (DICE) group](https://dice.cs.uni-paderborn.de/)
+    - [nbgraderutils](https://github.com/dice-group/nbgraderutils): Use JupyterHub + nbgrader + iJava kernel for online Java exercises. Used in lecture Statistical Natural Language Processing.
+
+### Penn State University
+
+- [Press release](https://news.psu.edu/story/523093/2018/05/24/new-open-source-web-apps-available-students-and-faculty): "New open-source web apps available for students and faculty" (but Hub is currently down; checked 04/26/19)
+
+### University of Rochester CIRC
+
+- [JupyterHub Userguide](https://info.circ.rochester.edu/Web_Applications/JupyterHub.html) - Slurm, beehive
+
+### University of California San Diego
+
+- San Diego Supercomputer Center - Andrea Zonca
+    - [Deploy JupyterHub on a Supercomputer with SSH](https://zonca.github.io/2017/05/jupyterhub-hpc-batchspawner-ssh.html)
+    - [Run Jupyterhub on a Supercomputer](https://zonca.github.io/2015/04/jupyterhub-hpc.html)
+    - [Deploy JupyterHub on a VM for a Workshop](https://zonca.github.io/2016/04/jupyterhub-sdsc-cloud.html)
+    - [Customize your Python environment in Jupyterhub](https://zonca.github.io/2017/02/customize-python-environment-jupyterhub.html)
+    - [Jupyterhub deployment on multiple nodes with Docker Swarm](https://zonca.github.io/2016/05/jupyterhub-docker-swarm.html)
+    - [Sample deployment of Jupyterhub in HPC on SDSC Comet](https://zonca.github.io/2017/02/sample-deployment-jupyterhub-hpc.html)
+
+- Educational Technology Services - Paul Jamason
+    - [jupyterhub.ucsd.edu](https://jupyterhub.ucsd.edu)
+
+### TACC University of Texas
+
+### Texas A&M
+
+- Kristen Thyng - Oceanography
+    - [Teaching with JupyterHub and nbgrader](http://kristenthyng.com/blog/2016/09/07/jupyterhub+nbgrader/)
+
+### Elucidata
+  - What's new in Jupyter Notebooks @[Elucidata](https://elucidata.io/):
+      - Using Jupyter Notebooks with Jupyterhub on GCP, managed by GKE
+            - https://medium.com/elucidata/why-you-should-be-using-a-jupyter-notebook-8385a4ccd93d
+
+## Service Providers
+
+### AWS
+
+- [running-jupyter-notebook-and-jupyterhub-on-amazon-emr](https://aws.amazon.com/blogs/big-data/running-jupyter-notebook-and-jupyterhub-on-amazon-emr/)
+
+### Google Cloud Platform
+
+- [Using Tensorflow and JupyterHub in Classrooms](https://cloud.google.com/solutions/using-tensorflow-jupyterhub-classrooms)
+- [using-tensorflow-and-jupyterhub blog post](https://opensource.googleblog.com/2016/10/using-tensorflow-and-jupyterhub.html)
+
+### Everware
+
+[Everware](https://github.com/everware) Reproducible and reusable science powered by jupyterhub and docker. Like nbviewer, but executable. CERN, Geneva [website](http://everware.xyz/)
+
+### Microsoft Azure
+
+- https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-data-science-linux-dsvm-intro
+
+### Rackspace Carina
+
+- https://getcarina.com/blog/learning-how-to-whale/
+- http://carolynvanslyck.com/talk/carina/jupyterhub/#/
+
+### Hadoop
+
+- [Deploying JupyterHub on Hadoop](https://jupyterhub-on-hadoop.readthedocs.io)
+
+
+## Miscellaneous
+
+- https://medium.com/@ybarraud/setting-up-jupyterhub-with-sudospawner-and-anaconda-844628c0dbee#.rm3yt87e1
+- https://groups.google.com/forum/#!topic/jupyter/nkPSEeMr8c0 Mailing list UT deployment
+- JupyterHub setup on Centos https://gist.github.com/johnrc/604971f7d41ebf12370bf5729bf3e0a4
+- Deploy JupyterHub to Docker Swarm https://jupyterhub.surge.sh/#/welcome
+- http://www.laketide.com/building-your-lab-part-3/
+- http://estrellita.hatenablog.com/entry/2015/07/31/083202
+- http://www.walkingrandomly.com/?p=5734
+- https://wrdrd.com/docs/consulting/education-technology
+- https://bitbucket.org/jackhale/fenics-jupyter
+- [LinuxCluster blog](https://linuxcluster.wordpress.com/category/application/jupyterhub/)
+- [Network Technology](https://arnesund.com/tag/jupyterhub/) [Spark Cluster on OpenStack with Multi-User Jupyter Notebook](https://arnesund.com/2015/09/21/spark-cluster-on-openstack-with-multi-user-jupyter-notebook/)

docs/source/getting-started.md

@@ -1,526 +0,0 @@
-# Getting started with JupyterHub
-
-This section contains getting started information on the following topics:
-
-- [Technical Overview](getting-started.html#technical-overview)
-- [Installation](getting-started.html#installation)
-- [Configuration](getting-started.html#configuration)
-- [Networking](getting-started.html#networking)
-- [Security](getting-started.html#security)
-- [Authentication and users](getting-started.html#authentication-and-users)
-- [Spawners and single-user notebook servers](getting-started.html#spawners-and-single-user-notebook-servers)
-- [External Services](getting-started.html#external-services)
-
-
-## Technical Overview
-
-JupyterHub is a set of processes that together provide a single user Jupyter
-Notebook server for each person in a group.
-
-### Three subsystems
-Three major subsystems run by the `jupyterhub` command line program:
-
-- **Single-User Notebook Server**: a dedicated, single-user, Jupyter Notebook server is
-  started for each user on the system when the user logs in. The object that
-  starts these servers is called a **Spawner**.
-- **Proxy**: the public facing part of JupyterHub that uses a dynamic proxy
-  to route HTTP requests to the Hub and Single User Notebook Servers.
-- **Hub**: manages user accounts, authentication, and coordinates Single User
-  Notebook Servers using a Spawner.
-
-![JupyterHub subsystems](images/jhub-parts.png)
-
-
-### Deployment server
-To use JupyterHub, you need a Unix server (typically Linux) running somewhere
-that is accessible to your team on the network. The JupyterHub server can be
-on an internal network at your organization, or it can run on the public
-internet (in which case, take care with the Hub's
-[security](getting-started.html#security)).
-
-### Basic operation
-Users access JupyterHub through a web browser, by going to the IP address or
-the domain name of the server.
-
-Basic principles of operation:
-
-* Hub spawns proxy
-* Proxy forwards all requests to hub by default
-* Hub handles login, and spawns single-user servers on demand
-* Hub configures proxy to forward url prefixes to single-user servers
-
-Different **[authenticators](authenticators.html)** control access
-to JupyterHub. The default one (PAM) uses the user accounts on the server where
-JupyterHub is running. If you use this, you will need to create a user account
-on the system for each user on your team. Using other authenticators, you can
-allow users to sign in with e.g. a GitHub account, or with any single-sign-on
-system your organization has.
-
-Next, **[spawners](spawners.html)** control how JupyterHub starts
-the individual notebook server for each user. The default spawner will
-start a notebook server on the same machine running under their system username.
-The other main option is to start each server in a separate container, often
-using Docker.
-
-### Default behavior
-
-**IMPORTANT: You should not run JupyterHub without SSL encryption on a public network.**
-
-See [Security documentation](#security) for how to configure JupyterHub to use SSL,
-or put it behind SSL termination in another proxy server, such as nginx.
-
----
-
-**Deprecation note:** Removed `--no-ssl` in version 0.7.
-
-JupyterHub versions 0.5 and 0.6 require extra confirmation via `--no-ssl` to
-allow running without SSL using the command `jupyterhub --no-ssl`. The
-`--no-ssl` command line option is not needed anymore in version 0.7.
-
----
-
-To start JupyterHub in its default configuration, type the following at the command line:
-
-```bash
-    sudo jupyterhub
-```
-
-The default Authenticator that ships with JupyterHub authenticates users
-with their system name and password (via [PAM][]).
-Any user on the system with a password will be allowed to start a single-user notebook server.
-
-The default Spawner starts servers locally as each user, one dedicated server per user.
-These servers listen on localhost, and start in the given user's home directory.
-
-By default, the **Proxy** listens on all public interfaces on port 8000.
-Thus you can reach JupyterHub through either:
-
-- `http://localhost:8000`
-- or any other public IP or domain pointing to your system.
-
-In their default configuration, the other services, the **Hub** and **Single-User Servers**,
-all communicate with each other on localhost only.
-
-By default, starting JupyterHub will write two files to disk in the current working directory:
-
-- `jupyterhub.sqlite` is the sqlite database containing all of the state of the **Hub**.
-  This file allows the **Hub** to remember what users are running and where,
-  as well as other information enabling you to restart parts of JupyterHub separately. It is
-  important to note that this database contains *no* sensitive information other than **Hub**
-  usernames.
-- `jupyterhub_cookie_secret` is the encryption key used for securing cookies.
-  This file needs to persist in order for restarting the Hub server to avoid invalidating cookies.
-  Conversely, deleting this file and restarting the server effectively invalidates all login cookies.
-  The cookie secret file is discussed in the [Cookie Secret documentation](#cookie-secret).
-
-The location of these files can be specified via configuration, discussed below.
-
-## Installation
-
-See the project's [README](https://github.com/jupyterhub/jupyterhub/blob/master/README.md)
-for help installing JupyterHub.
-
-### Planning your installation
-
-Prior to beginning installation, it's helpful to consider some of the following:
-- deployment system (bare metal, Docker)
-- Authentication (PAM, OAuth, etc.)
-- Spawner of singleuser notebook servers (Docker, Batch, etc.)
-- Services (nbgrader, etc.)
-- JupyterHub database (default SQLite; traditional RDBMS such as PostgreSQL,)
-  MySQL, or other databases supported by [SQLAlchemy](http://www.sqlalchemy.org))  
-
-### Folders and File Locations
-
-It is recommended to put all of the files used by JupyterHub into standard
-UNIX filesystem locations.
-
-* `/srv/jupyterhub` for all security and runtime files
-* `/etc/jupyterhub` for all configuration files
-* `/var/log` for log files
-
-## Configuration
-
-JupyterHub is configured in two ways:
-
-1. Configuration file
-2. Command-line arguments
-
-### Configuration file
-By default, JupyterHub will look for a configuration file (which may not be created yet)
-named `jupyterhub_config.py` in the current working directory.
-You can create an empty configuration file with:
-
-```bash
-jupyterhub --generate-config
-```
-
-This empty configuration file has descriptions of all configuration variables and their default
-values. You can load a specific config file with:
-
-```bash
-jupyterhub -f /path/to/jupyterhub_config.py
-```
-
-See also: [general docs](http://ipython.org/ipython-doc/dev/development/config.html)
-on the config system Jupyter uses.
-
-### Command-line arguments
-Type the following for brief information about the command-line arguments:
-
-```bash
-jupyterhub -h
-```
-
-or:
-
-```bash
-jupyterhub --help-all
-```
-
-for the full command line help.
-
-All configurable options are technically configurable on the command-line,
-even if some are really inconvenient to type. Just replace the desired option,
-`c.Class.trait`, with `--Class.trait`. For example, to configure the
-`c.Spawner.notebook_dir` trait from the command-line:
-
-```bash
-jupyterhub --Spawner.notebook_dir='~/assignments'
-```
-
-## Networking
-
-### Configuring the Proxy's IP address and port
-The Proxy's main IP address setting determines where JupyterHub is available to users.
-By default, JupyterHub is configured to be available on all network interfaces
-(`''`) on port 8000. **Note**: Use of `'*'` is discouraged for IP configuration;
-instead, use of `'0.0.0.0'` is preferred.
-
-Changing the IP address and port can be done with the following command line
-arguments:
-
-```bash
-jupyterhub --ip=192.168.1.2 --port=443
-```
-
-Or by placing the following lines in a configuration file:
-
-```python
-c.JupyterHub.ip = '192.168.1.2'
-c.JupyterHub.port = 443
-```
-
-Port 443 is used as an example since 443 is the default port for SSL/HTTPS.
-
-Configuring only the main IP and port of JupyterHub should be sufficient for most deployments of JupyterHub.
-However, more customized scenarios may need additional networking details to
-be configured.
-
-
-### Configuring the Proxy's REST API communication IP address and port (optional)
-The Hub service talks to the proxy via a REST API on a secondary port,
-whose network interface and port can be configured separately.
-By default, this REST API listens on port 8081 of localhost only.
-
-If running the Proxy separate from the Hub,
-configure the REST API communication IP address and port with:
-
-```python
-# ideally a private network address
-c.JupyterHub.proxy_api_ip = '10.0.1.4'
-c.JupyterHub.proxy_api_port = 5432
-```
-
-### Configuring the Hub if Spawners or Proxy are remote or isolated in containers
-The Hub service also listens only on localhost (port 8080) by default.
-The Hub needs needs to be accessible from both the proxy and all Spawners.
-When spawning local servers, an IP address setting of localhost is fine.
-If *either* the Proxy *or* (more likely) the Spawners will be remote or
-isolated in containers, the Hub must listen on an IP that is accessible.
-
-```python
-c.JupyterHub.hub_ip = '10.0.1.4'
-c.JupyterHub.hub_port = 54321
-```
-
-## Security
-
-**IMPORTANT: You should not run JupyterHub without SSL encryption on a public network.**
-
----
-
-**Deprecation note:** Removed `--no-ssl` in version 0.7.
-
-JupyterHub versions 0.5 and 0.6 require extra confirmation via `--no-ssl` to
-allow running without SSL using the command `jupyterhub --no-ssl`. The
-`--no-ssl` command line option is not needed anymore in version 0.7.
-
----
-
-Security is the most important aspect of configuring Jupyter. There are four main aspects of the
-security configuration:
-
-1. SSL encryption (to enable HTTPS)
-2. Cookie secret (a key for encrypting browser cookies)
-3. Proxy authentication token (used for the Hub and other services to authenticate to the Proxy)
-4. Periodic security audits
-
-*Note* that the **Hub** hashes all secrets (e.g., auth tokens) before storing them in its
-database. A loss of control over read-access to the database should have no security impact
-on your deployment.
-
-### SSL encryption
-
-Since JupyterHub includes authentication and allows arbitrary code execution, you should not run
-it without SSL (HTTPS). This will require you to obtain an official, trusted SSL certificate or
-create a self-signed certificate. Once you have obtained and installed a key and certificate you
-need to specify their locations in the configuration file as follows:
-
-```python
-c.JupyterHub.ssl_key = '/path/to/my.key'
-c.JupyterHub.ssl_cert = '/path/to/my.cert'
-```
-
-It is also possible to use letsencrypt (https://letsencrypt.org/) to obtain
-a free, trusted SSL certificate. If you run letsencrypt using the default
-options, the needed configuration is (replace `mydomain.tld` by your fully
-qualified domain name):
-
-```python
-c.JupyterHub.ssl_key = '/etc/letsencrypt/live/{mydomain.tld}/privkey.pem'
-c.JupyterHub.ssl_cert = '/etc/letsencrypt/live/{mydomain.tld}/fullchain.pem'
-```
-
-If the fully qualified domain name (FQDN) is `example.com`, the following
-would be the needed configuration:
-
-```python
-c.JupyterHub.ssl_key = '/etc/letsencrypt/live/example.com/privkey.pem'
-c.JupyterHub.ssl_cert = '/etc/letsencrypt/live/example.com/fullchain.pem'
-```
-
-Some cert files also contain the key, in which case only the cert is needed. It is important that
-these files be put in a secure location on your server, where they are not readable by regular
-users.
-
-Note on **chain certificates**: If you are using a chain certificate, see also
-[chained certificate for SSL](troubleshooting.md#chained-certificates-for-ssl) in the JupyterHub troubleshooting FAQ).
-
-Note: In certain cases, e.g. **behind SSL termination in nginx**, allowing no SSL
-running on the hub may be desired.
-
-### Cookie secret
-
-The cookie secret is an encryption key, used to encrypt the browser cookies used for
-authentication. If this value changes for the Hub, all single-user servers must also be restarted.
-Normally, this value is stored in a file, the location of which can be specified in a config file
-as follows:
-
-```python
-c.JupyterHub.cookie_secret_file = '/srv/jupyterhub/cookie_secret'
-```
-
-The content of this file should be a long random string encoded in MIME Base64. An example would be to generate this file as:
-
-```bash
-openssl rand -base64 2048 > /srv/jupyterhub/cookie_secret
-```
-
-In most deployments of JupyterHub, you should point this to a secure location on the file
-system, such as `/srv/jupyterhub/cookie_secret`. If the cookie secret file doesn't exist when
-the Hub starts, a new cookie secret is generated and stored in the file. The
-file must not be readable by group or other or the server won't start.
-The recommended permissions for the cookie secret file are 600 (owner-only rw).
-
-
-If you would like to avoid the need for files, the value can be loaded in the Hub process from
-the `JPY_COOKIE_SECRET` environment variable, which is a hex-encoded string. You
-can set it this way:
-
-```bash
-export JPY_COOKIE_SECRET=`openssl rand -hex 1024`
-```
-
-For security reasons, this environment variable should only be visible to the Hub.
-If you set it dynamically as above, all users will be logged out each time the
-Hub starts.
-
-You can also set the cookie secret in the configuration file itself,`jupyterhub_config.py`,
-as a binary string:
-
-```python
-c.JupyterHub.cookie_secret = bytes.fromhex('VERY LONG SECRET HEX STRING')
-```
-
-### Proxy authentication token
-
-The Hub authenticates its requests to the Proxy using a secret token that
-the Hub and Proxy agree upon. The value of this string should be a random
-string (for example, generated by `openssl rand -hex 32`). You can pass
-this value to the Hub and Proxy using either the `CONFIGPROXY_AUTH_TOKEN`
-environment variable:
-
-```bash
-export CONFIGPROXY_AUTH_TOKEN=`openssl rand -hex 32`
-```
-
-This environment variable needs to be visible to the Hub and Proxy.
-
-Or you can set the value in the configuration file, `jupyterhub_config.py`:
-
-```python
-c.JupyterHub.proxy_auth_token = '0bc02bede919e99a26de1e2a7a5aadfaf6228de836ec39a05a6c6942831d8fe5'
-```
-
-If you don't set the Proxy authentication token, the Hub will generate a random key itself, which
-means that any time you restart the Hub you **must also restart the Proxy**. If the proxy is a
-subprocess of the Hub, this should happen automatically (this is the default configuration).
-
-Another time you must set the Proxy authentication token yourself is if
-you want other services, such as [nbgrader](https://github.com/jupyter/nbgrader)
-to also be able to connect to the Proxy.
-
-### Security audits
-
-We recommend that you do periodic reviews of your deployment's security. It's
-good practice to keep JupyterHub, configurable-http-proxy, and nodejs 
-versions up to date.
-
-A handy website for testing your deployment is
-[Qualsys' SSL analyzer tool](https://www.ssllabs.com/ssltest/analyze.html).
-
-## Authentication and users
-
-The default Authenticator uses [PAM][] to authenticate system users with
-their username and password. The default behavior of this Authenticator
-is to allow any user with an account and password on the system to login.
-
-### Creating a whitelist of users
-
-You can restrict which users are allowed to login with `Authenticator.whitelist`:
-
-
-```python
-c.Authenticator.whitelist = {'mal', 'zoe', 'inara', 'kaylee'}
-```
-
-### Managing Hub administrators
-
-Admin users of JupyterHub have the ability to take actions on users' behalf,
-such as stopping and restarting their servers,
-and adding and removing new users from the whitelist.
-Any users in the admin list are automatically added to the whitelist,
-if they are not already present.
-The set of initial Admin users can configured as follows:
-
-```python
-c.Authenticator.admin_users = {'mal', 'zoe'}
-```
-
-If `JupyterHub.admin_access` is True (not default),
-then admin users have permission to log in *as other users* on their respective machines, for debugging.
-**You should make sure your users know if admin_access is enabled.**
-
-Note: additional configuration examples are provided in this guide's
-[Configuration Examples section](./config-examples.html).
-
-### Add or remove users from the Hub
-
-Users can be added and removed to the Hub via the admin panel or REST API. These users will be
-added to the whitelist and database. Restarting the Hub will not require manually updating the
-whitelist in your config file, as the users will be loaded from the database. This means that
-after starting the Hub once, it is not sufficient to remove users from the whitelist in your
-config file. You must also remove them from the database, either by discarding the database file,
-or via the admin UI.
-
-The default `PAMAuthenticator` is one case of a special kind of authenticator, called a
-`LocalAuthenticator`, indicating that it manages users on the local system. When you add a user to
-the Hub, a `LocalAuthenticator` checks if that user already exists. Normally, there will be an
-error telling you that the user doesn't exist. If you set the configuration value
-
-```python
-c.LocalAuthenticator.create_system_users = True
-```
-
-however, adding a user to the Hub that doesn't already exist on the system will result in the Hub
-creating that user via the system `adduser` command line tool. This option is typically used on
-hosted deployments of JupyterHub, to avoid the need to manually create all your users before
-launching the service. It is not recommended when running JupyterHub in situations where
-JupyterHub users maps directly onto UNIX users.
-
-## Spawners and single-user notebook servers
-
-Since the single-user server is an instance of `jupyter notebook`, an entire separate
-multi-process application, there are many aspect of that server can configure, and a lot of ways
-to express that configuration.
-
-At the JupyterHub level, you can set some values on the Spawner. The simplest of these is
-`Spawner.notebook_dir`, which lets you set the root directory for a user's server. This root
-notebook directory is the highest level directory users will be able to access in the notebook
-dashboard. In this example, the root notebook directory is set to `~/notebooks`, where `~` is
-expanded to the user's home directory.
-
-```python
-c.Spawner.notebook_dir = '~/notebooks'
-```
-
-You can also specify extra command-line arguments to the notebook server with:
-
-```python
-c.Spawner.args = ['--debug', '--profile=PHYS131']
-```
-
-This could be used to set the users default page for the single user server:
-
-```python
-c.Spawner.args = ['--NotebookApp.default_url=/notebooks/Welcome.ipynb']
-```
-
-Since the single-user server extends the notebook server application,
-it still loads configuration from the `ipython_notebook_config.py` config file.
-Each user may have one of these files in `$HOME/.ipython/profile_default/`.
-IPython also supports loading system-wide config files from `/etc/ipython/`,
-which is the place to put configuration that you want to affect all of your users.
-
-## External services
-
-JupyterHub has a REST API that can be used by external services like the
-[cull_idle_servers](https://github.com/jupyterhub/jupyterhub/blob/master/examples/cull-idle/cull_idle_servers.py)
-script which monitors and kills idle single-user servers periodically. In order to run such an
-external service, you need to provide it an API token. In the case of `cull_idle_servers`, it is passed
-as the environment variable called `JPY_API_TOKEN`.
-
-Currently there are two ways of registering that token with JupyterHub. The first one is to use
-the `jupyterhub` command to generate a token for a specific hub user:
-
-```bash
-jupyterhub token <username>
-```
-
-As of [version 0.6.0](./changelog.html), the preferred way of doing this is to first generate an API token:
-
-```bash
-openssl rand -hex 32
-```
-
-
-and then write it to your JupyterHub configuration file (note that the **key** is the token while the **value** is the username):
-
-```python
-c.JupyterHub.api_tokens = {'token' : 'username'}
-```
-
-Upon restarting JupyterHub, you should see a message like below in the logs:
-
-```
-Adding API token for <username>
-```
-
-Now you can run your script, i.e. `cull_idle_servers`, by providing it the API token and it will authenticate through
-the REST API to interact with it.
-
-
-[oauth-setup]: https://github.com/jupyterhub/oauthenticator#setup
-[oauthenticator]: https://github.com/jupyterhub/oauthenticator
-[PAM]: https://en.wikipedia.org/wiki/Pluggable_authentication_module

docs/source/getting-started/authenticators-users-basics.md

@@ -0,0 +1,119 @@
+# Authentication and User Basics
+
+The default Authenticator uses [PAM][] to authenticate system users with
+their username and password. With the default Authenticator, any user
+with an account and password on the system will be allowed to login.
+
+## Create a whitelist of users
+
+You can restrict which users are allowed to login with a whitelist,
+`Authenticator.whitelist`:
+
+
+```python
+c.Authenticator.whitelist = {'mal', 'zoe', 'inara', 'kaylee'}
+```
+
+Users in the whitelist are added to the Hub database when the Hub is
+started.
+
+## Configure admins (`admin_users`)
+
+Admin users of JupyterHub, `admin_users`, can add and remove users from
+the user `whitelist`. `admin_users` can take actions on other users'
+behalf, such as stopping and restarting their servers.
+
+A set of initial admin users, `admin_users` can configured be as follows:
+
+```python
+c.Authenticator.admin_users = {'mal', 'zoe'}
+```
+Users in the admin list are automatically added to the user `whitelist`,
+if they are not already present.
+
+Each authenticator may have different ways of determining whether a user is an
+administrator. By default JupyterHub use the PAMAuthenticator which provide the
+`admin_groups` option and can determine administrator status base on a user
+groups. For example we can let any users in the `wheel` group be admin:
+
+```python
+c.PAMAuthenticator.admin_groups = {'wheel'}
+```
+
+## Give admin access to other users' notebook servers (`admin_access`)
+
+Since the default `JupyterHub.admin_access` setting is False, the admins
+do not have permission to log in to the single user notebook servers
+owned by *other users*. If `JupyterHub.admin_access` is set to True,
+then admins have permission to log in *as other users* on their
+respective machines, for debugging. **As a courtesy, you should make
+sure your users know if admin_access is enabled.**
+
+## Add or remove users from the Hub
+
+Users can be added to and removed from the Hub via either the admin
+panel or the REST API. When a user is **added**, the user will be
+automatically added to the whitelist and database. Restarting the Hub
+will not require manually updating the whitelist in your config file,
+as the users will be loaded from the database.
+
+After starting the Hub once, it is not sufficient to **remove** a user
+from the whitelist in your config file. You must also remove the user
+from the Hub's database, either by deleting the user from JupyterHub's
+admin page, or you can clear the `jupyterhub.sqlite` database and start
+fresh.
+
+## Use LocalAuthenticator to create system users
+
+The `LocalAuthenticator` is a special kind of authenticator that has
+the ability to manage users on the local system. When you try to add a
+new user to the Hub, a `LocalAuthenticator` will check if the user
+already exists. If you set the configuration value, `create_system_users`,
+to `True` in the configuration file, the `LocalAuthenticator` has
+the privileges to add users to the system. The setting in the config
+file is:
+
+```python
+c.LocalAuthenticator.create_system_users = True
+```
+
+Adding a user to the Hub that doesn't already exist on the system will
+result in the Hub creating that user via the system `adduser` command
+line tool. This option is typically used on hosted deployments of
+JupyterHub, to avoid the need to manually create all your users before
+launching the service. This approach is not recommended when running
+JupyterHub in situations where JupyterHub users map directly onto the
+system's UNIX users.
+
+## Use OAuthenticator to support OAuth with popular service providers
+
+JupyterHub's [OAuthenticator][] currently supports the following
+popular services:
+
+- Auth0
+- Bitbucket
+- CILogon
+- GitHub
+- GitLab
+- Globus
+- Google
+- MediaWiki
+- Okpy
+- OpenShift
+
+A generic implementation, which you can use for OAuth authentication
+with any provider, is also available.
+
+## Use DummyAuthenticator for testing
+
+The :class:`~jupyterhub.auth.DummyAuthenticator` is a simple authenticator that
+allows for any username/password unless if a global password has been set. If
+set, it will allow for any username as long as the correct password is provided.
+To set a global password, add this to the config file:
+
+```python
+c.DummyAuthenticator.password = "some_password"
+```
+
+[PAM]: https://en.wikipedia.org/wiki/Pluggable_authentication_module
+[OAuthenticator]: https://github.com/jupyterhub/oauthenticator

docs/source/getting-started/config-basics.md

@@ -0,0 +1,100 @@
+# Configuration Basics
+
+The section contains basic information about configuring settings for a JupyterHub
+deployment. The [Technical Reference](../reference/index)
+documentation provides additional details.
+
+This section will help you learn how to:
+
+- generate a default configuration file, `jupyterhub_config.py`
+- start with a specific configuration file
+- configure JupyterHub using command line options
+- find information and examples for some common deployments
+
+## Generate a default config file
+
+On startup, JupyterHub will look by default for a configuration file,
+`jupyterhub_config.py`, in the current working directory.
+
+To generate a default config file, `jupyterhub_config.py`:
+
+```bash
+jupyterhub --generate-config
+```
+
+This default `jupyterhub_config.py` file contains comments and guidance for all
+configuration variables and their default values. We recommend storing
+configuration files in the standard UNIX filesystem location, i.e.
+`/etc/jupyterhub`.
+
+## Start with a specific config file
+
+You can load a specific config file and start JupyterHub using:
+
+```bash
+jupyterhub -f /path/to/jupyterhub_config.py
+```
+
+If you have stored your configuration file in the recommended UNIX filesystem
+location, `/etc/jupyterhub`, the following command will start JupyterHub using
+the configuration file:
+
+```bash
+jupyterhub -f /etc/jupyterhub/jupyterhub_config.py
+```
+
+The IPython documentation provides additional information on the
+[config system](http://ipython.readthedocs.io/en/stable/development/config)
+that Jupyter uses.
+
+## Configure using command line options
+
+To display all command line options that are available for configuration:
+
+```bash
+    jupyterhub --help-all
+```
+
+Configuration using the command line options is done when launching JupyterHub.
+For example, to start JupyterHub on ``10.0.1.2:443`` with https, you
+would enter:
+
+```bash
+    jupyterhub --ip 10.0.1.2 --port 443 --ssl-key my_ssl.key --ssl-cert my_ssl.cert
+```
+
+All configurable options may technically be set on the command-line,
+though some are inconvenient to type. To set a particular configuration
+parameter, `c.Class.trait`, you would use the command line option,
+`--Class.trait`, when starting JupyterHub. For example, to configure the
+`c.Spawner.notebook_dir` trait from the command-line, use the
+`--Spawner.notebook_dir` option:
+
+```bash
+jupyterhub --Spawner.notebook_dir='~/assignments'
+```
+
+## Configure for various deployment environments
+
+The default authentication and process spawning mechanisms can be replaced, and
+specific [authenticators](./authenticators-users-basics) and
+[spawners](./spawners-basics) can be set in the configuration file.
+This enables JupyterHub to be used with a variety of authentication methods or
+process control and deployment environments. [Some examples](../reference/config-examples),
+meant as illustration, are:
+
+- Using GitHub OAuth instead of PAM with [OAuthenticator](https://github.com/jupyterhub/oauthenticator)
+- Spawning single-user servers with Docker, using the [DockerSpawner](https://github.com/jupyterhub/dockerspawner)
+
+## Run the proxy separately
+
+This is *not* strictly necessary, but useful in many cases.  If you
+use a custom proxy (e.g. Traefik), this also not needed.
+
+Connections to user servers go through the proxy, and *not* the hub
+itself.  If the proxy stays running when the hub restarts (for
+maintenance, re-configuration, etc.), then use connections are not
+interrupted.  For simplicity, by default the hub starts the proxy
+automatically, so if the hub restarts, the proxy restarts, and user
+connections are interrupted.  It is easy to run the proxy separately,
+for information see [the separate proxy page](../reference/separate-proxy).

docs/source/getting-started/index.rst

@@ -0,0 +1,18 @@
+Get Started
+===========
+
+This section covers how to configure and customize JupyterHub for your
+needs. It contains information about authentication, networking, security, and
+other topics that are relevant to individuals or organizations deploying their
+own JupyterHub.
+
+.. toctree::
+   :maxdepth: 2
+
+   config-basics
+   networking-basics
+   security-basics
+   authenticators-users-basics
+   spawners-basics
+   services-basics
+   institutional-faq

docs/source/getting-started/institutional-faq.md

@@ -0,0 +1,266 @@
+# Institutional FAQ
+
+This page contains common questions from users of JupyterHub,
+broken down by their roles within organizations.
+
+## For all
+
+### Is it appropriate for adoption within a larger institutional context?
+
+Yes! JupyterHub has been used at-scale for large pools of users, as well
+as complex and high-performance computing. For example, UC Berkeley uses
+JupyterHub for its Data Science Education Program courses (serving over
+3,000 students). The Pangeo project uses JupyterHub to provide access
+to scalable cloud computing with Dask. JupyterHub is stable customizable
+to the use-cases of large organizations.
+
+### I keep hearing about Jupyter Notebook, JupyterLab, and now JupyterHub. What’s the difference?
+
+Here is a quick breakdown of these three tools:
+
+* **The Jupyter Notebook** is a document specification (the `.ipynb`) file that interweaves
+  narrative text with code cells and their outputs. It is also a graphical interface
+  that allows users to edit these documents. There are also several other graphical interfaces
+  that allow users to edit the `.ipynb` format (nteract, Jupyer Lab, Google Colab, Kaggle, etc).
+* **JupyterLab** is a flexible and extendible user interface for interactive computing. It
+  has several extensions that are tailored for using Jupyter Notebooks, as well as extensions
+  for other parts of the data science stack.
+* **JupyterHub** is an application that manages interactive computing sessions for **multiple users**.
+  It also connects them with infrastructure those users wish to access. It can provide
+  remote access to Jupyter Notebooks and Jupyter Lab for many people.
+
+## For management
+
+### Briefly, what problem does JupyterHub solve for us?
+
+JupyterHub provides a shared platform for data science and collaboration.
+It allows users to utilize familiar data science workflows (such as the scientific python stack,
+the R tidyverse, and Jupyter Notebooks) on institutional infrastructure. It also allows administrators
+some control over access to resources, security, environments, and authentication.
+
+### Is JupyterHub mature? Why should we trust it?
+
+Yes - the core JupyterHub application recently
+reached 1.0 status, and is considered stable and performant for most institutions.
+JupyterHub has also been deployed (along with other tools) to work on
+scalable infrastructure, large datasets, and high-performance computing.
+
+### Who else uses JupyterHub?
+
+JupyterHub is used at a variety of institutions in academia,
+industry, and government research labs. It is most-commonly used by two kinds of groups:
+
+* Small teams (e.g., data science teams, research labs, or collaborative projects) to provide a
+  shared resource for interactive computing, collaboration, and analytics.
+* Large teams (e.g., a department, a large class, or a large group of remote users) to provide
+  access to organizational hardware, data, and analytics environments at scale.
+
+Here are a sample of organizations that use JupyterHub:
+
+* **Universities and colleges**: UC Berkeley, UC San Diego, Cal Poly SLO, Harvard University, University of Chicago,
+  University of Oslo, University of Sheffield, Université Paris Sud, University of Versailles
+* **Research laboratories**: NASA, NCAR, NOAA, the Large Synoptic Survey Telescope, Brookhaven National Lab,
+  Minnesota Supercomputing Institute, ALCF, CERN, Lawrence Livermore National Laboratory
+* **Online communities**: Pangeo, Quantopian, mybinder.org, MathHub, Open Humans
+* **Computing infrastructure providers**: NERSC, San Diego Supercomputing Center, Compute Canada
+* **Companies**: Capital One, SANDVIK code, Globus
+
+See the [Gallery of JupyterHub deployments](../gallery-jhub-deployments.md) for
+a more complete list of JupyterHub deployments at institutions.
+
+### How does JupyterHub compare with hosted products, like Google Colaboratory, RStudio.cloud, or Anaconda Enterprise?
+
+JupyterHub puts you in control of your data, infrastructure, and coding environment.
+In addition, it is vendor neutral, which reduces lock-in to a particular vendor or service.
+JupyterHub provides access to interactive computing environments in the cloud (similar to each of these services).
+Compared with the tools above, it is more flexible, more customizable, free, and
+gives administrators more control over their setup and hardware.
+
+Because JupyterHub is an open-source, community-driven tool, it can be extended and
+modified to fit an institution's needs. It plays nicely with the open source data science
+stack, and can serve a variety of computing enviroments, user interfaces, and
+computational hardware. It can also be deployed anywhere - on enterprise cloud infrastructure, on
+High-Performance-Computing machines, on local hardware, or even on a single laptop, which
+is not possible with most other tools for shared interactive computing.
+
+## For IT
+
+### How would I set up JupyterHub on institutional hardware?
+
+That depends on what kind of hardware you've got. JupyterHub is flexible enough to be deployed
+on a variety of hardware, including in-room hardware, on-prem clusters, cloud infrastructure,
+etc.
+
+The most common way to set up a JupyterHub is to use a JupyterHub distribution, these are pre-configured
+and opinionated ways to set up a JupyterHub on particular kinds of infrastructure. The two distributions
+that we currently suggest are:
+
+* [Zero to JupyterHub for Kubernetes](https://z2jh.jupyter.org) is a scalable JupyterHub deployment and
+  guide that runs on Kubernetes. Better for larger or dynamic user groups (50-10,000) or more complex
+  compute/data needs.
+* [The Littlest JupyterHub](https://tljh.jupyter.org) is a lightweight JupyterHub that runs on a single
+  single machine (in the cloud or under your desk). Better for smaller usergroups (4-80) or more
+  lightweight computational resources.
+
+
+### Does JupyterHub run well in the cloud?
+
+Yes - most deployments of JupyterHub are run via cloud infrastructure and on a variety of cloud providers.
+Depending on the distribution of JupyterHub that you'd like to use, you can also connect your JupyterHub
+deployment with a number of other cloud-native services so that users have access to other resources from
+their interactive computing sessions.
+
+For example, if you use the [Zero to JupyterHub for Kubernetes](https://z2jh.jupyter.org) distribution,
+you'll be able to utilize container-based workflows of other technologies such as the [dask-kubernetes](https://kubernetes.dask.org/en/latest/)
+project for distributed computing.
+
+The Z2JH Helm Chart also has some functionality built in for auto-scaling your cluster up and down
+as more resources are needed - allowing you to utilize the benefits of a flexible cloud-based deployment.
+
+### Is JupyterHub secure?
+
+The short answer: yes. JupyterHub as a standalone application has been battle-tested at an institutional
+level for several years, and makes a number of "default" security decisions that are reasonable for most
+users.
+
+* For security considerations in the base JupyterHub application,
+  [see the JupyterHub security page](https://jupyterhub.readthedocs.io/en/stable/reference/websecurity.html)
+* For security considerations when deploying JupyterHub on Kubernetes, see the
+  [JupyterHub on Kubernetes security page](https://zero-to-jupyterhub.readthedocs.io/en/latest/security.html).
+
+The longer answer: it depends on your deployment. Because JupyterHub is very flexible, it can be used
+in a variety of deployment setups. This often entails connecting your JupyterHub to **other** infrastructure
+(such as a [Dask Gateway service](https://gateway.dask.org/)). There are many security decisions to be made
+in these cases, and the security of your JupyterHub deployment will often depend on these decisions.
+
+If you are worried about security, don't hesitate to reach out to the JupyterHub community in the
+[Jupyter Community Forum](https://discourse.jupyter.org/c/jupyterhub). This community of practice has many
+individuals with experience running secure JupyterHub deployments.
+
+
+### Does JupyterHub provide computing or data infrastructure?
+
+No - JupyterHub manages user sessions and can *control* computing infrastructure, but it does not provide these
+things itself. You are expected to run JupyterHub on your own infrastructure (local or in the cloud). Moreover,
+JupyterHub has no internal concept of "data", but is designed to be able to communicate with data repositories
+(again, either locally or remotely) for use within interactive computing sessions.
+
+
+### How do I manage users?
+
+JupyterHub offers a few options for managing your users. Upon setting up a JupyterHub, you can choose what
+kind of **authentication** you'd like to use. For example, you can have users sign up with an institutional
+email address, or choose a username / password when they first log-in, or offload authentication onto
+another service such as an organization's OAuth.
+
+The users of a JupyterHub are stored locally, and can be modified manually by an administrator of the JupyterHub.
+Moreover, the *active* users on a JupyterHub can be found on the administrator's page. This page
+gives you the abiltiy to stop or restart kernels, inspect user filesystems, and even take over user
+sessions to assist them with debugging.
+
+### How do I manage software environments?
+
+A key benefit of JupyterHub is the ability for an administrator to define the environment(s) that users
+have access to. There are many ways to do this, depending on what kind of infrastructure you're using for
+your JupyterHub.
+
+For example, **The Littlest JupyterHub** runs on a single VM. In this case, the administrator defines
+an environment by installing packages to a shared folder that exists on the path of all users. The
+**JupyterHub for Kubernetes** deployment uses Docker images to define environments. You can create your
+own list of Docker images that users can select from, and can also control things like the amount of
+RAM available to users, or the types of machines that their sessions will use in the cloud.
+
+### How does JupyterHub manage computational resources?
+
+For interactive computing sessions, JupyterHub controls computational resources via a **spawner**.
+Spawners define how a new user session is created, and are customized for particular kinds of
+infrastructure. For example, the KubeSpawner knows how to control a Kubernetes deployment
+to create new pods when users log in.
+
+For more sophisticated computational resources (like distributed computing), JupyterHub can
+connect with other infrastructure tools (like Dask or Spark). This allows users to control
+scalable or high-performance resources from within their JupyterHub sessions. The logic of
+how those resources are controlled is taken care of by the non-JupyterHub application.
+
+
+### Can JupyterHub be used with my high-performance computing resources?
+
+Yes - JupyterHub can provide access to many kinds of computing infrastructure.
+Especially when combined with other open-source schedulers such as Dask, you can manage fairly
+complex computing infrastructure from the interactive sessions of a JupyterHub. For example
+[see the Dask HPC page](https://docs.dask.org/en/latest/setup/hpc.html).
+
+### How much resources do user sessions take?
+
+This is highly configurable by the administrator. If you wish for your users to have simple
+data analytics environments for prototyping and light data exploring, you can restrict their
+memory and CPU based on the resources that you have available. If you'd like your JupyterHub
+to serve as a gateway to high-performance compute or data resources, you may increase the
+resources available on user machines, or connect them with computing infrastructure elsewhere.
+
+### Can I customize the look and feel of a JupyterHub?
+
+JupyterHub provides some customization of the graphics displayed to users. The most common
+modification is to add custom branding to the JupyterHub login page, loading pages, and
+various elements that persist across all pages (such as headers).
+
+## For Technical Leads
+
+### Will JupyterHub “just work” with our team's interactive computing setup?
+
+Depending on the complexity of your setup, you'll have different experiences with "out of the box"
+distributions of JupyterHub. If all of the resources you need will fit on a single VM, then
+[The Littlest JupyterHub](https://tljh.jupyter.org) should get you up-and-running within
+a half day or so. For more complex setups, such as scalable Kubernetes clusters or access
+to high-performance computing and data, it will require more time and expertise with
+the technologies your JupyterHub will use (e.g., dev-ops knowledge with cloud computing).
+
+In general, the base JupyterHub deployment is not the bottleneck for setup, it is connecting
+your JupyterHub with the various services and tools that you wish to provide to your users.
+
+
+### How well does JupyterHub scale? What are JupyterHub's limitations?
+
+JupyterHub works well at both a small scale (e.g., a single VM or machine) as well as a
+high scale (e.g., a scalable Kubernetes cluster). It can be used for teams as small a 2, and
+for user bases as large as 10,000. The scalability of JupyterHub largely depends on the
+infrastructure on which it is deployed. JupyterHub has been designed to be lightweight and
+flexible, so you can tailor your JupyterHub deployment to your needs.
+
+
+### Is JupyterHub resilient? What happens when a machine goes down?
+
+For JupyterHubs that are deployed in a containerized environment (e.g., Kubernetes), it is
+possible to configure the JupyterHub to be fairly resistant to failures in the system.
+For example, if JupyterHub fails, then user sessions will not be affected (though new
+users will not be able to log in). When a JupyterHub process is restarted, it should
+seamlessly connect with the user database and the system will return to normal.
+Again, the details of your JupyterHub deployment (e.g., whether it's deployed on a scalable cluster)
+will affect the resiliency of the deployment.
+
+### What interfaces does JupyterHub support?
+
+Out of the box, JupyterHub supports a variety of popular data science interfaces for user sessions,
+such as JupyterLab, Jupyter Notebooks, and RStudio. Any interface that can be served
+via a web address can be served with a JupyterHub (with the right setup).
+
+### Does JupyterHub make it easier for our team to collaborate?
+
+JupyterHub provides a standardized environment and access to shared resources for your teams.
+This greatly reduces the cost associated with sharing analyses and content with other team
+members, and makes it easier to collaborate and build off of one another's ideas. Combined with
+access to high-performance computing and data, JupyterHub provides a common resource to
+amplify your team's ability to prototype their analyses, scale them to larger data, and then
+share their results with one another.
+
+JupyterHub also provides a computational framework to share computational narratives between
+different levels of an organization. For example, data scientists can share Jupyter Notebooks
+rendered as [voila dashboards](https://voila.readthedocs.io/en/stable/) with those who are not
+familiar with programming, or create publicly-available interactive analyses to allow others to
+interact with your work.
+
+### Can I use JupyterHub with R/RStudio or other languages and environments?
+
+Yes, Jupyter is a polyglot project, and there are over 40 community-provided kernels for a variety
+of languages (the most common being Python, Julia, and R). You can also use a JupyterHub to provide
+access to other interfaces, such as RStudio, that provide their own access to a language kernel.

docs/source/getting-started/networking-basics.md

@@ -0,0 +1,101 @@
+# Networking basics
+
+This section will help you with basic proxy and network configuration to:
+
+- set the proxy's IP address and port
+- set the proxy's REST API URL
+- configure the Hub if the Proxy or Spawners are remote or isolated
+- set the `hub_connect_ip` which services will use to communicate with the hub
+
+## Set the Proxy's IP address and port
+
+The Proxy's main IP address setting determines where JupyterHub is available to users.
+By default, JupyterHub is configured to be available on all network interfaces
+(`''`) on port 8000. *Note*: Use of `'*'` is discouraged for IP configuration;
+instead, use of `'0.0.0.0'` is preferred.
+
+Changing the Proxy's main IP address and port can be done with the following
+JupyterHub **command line options**:
+
+```bash
+jupyterhub --ip=192.168.1.2 --port=443
+```
+
+Or by placing the following lines in a **configuration file**,
+`jupyterhub_config.py`:
+
+```python
+c.JupyterHub.ip = '192.168.1.2'
+c.JupyterHub.port = 443
+```
+
+Port 443 is used in the examples since 443 is the default port for SSL/HTTPS.
+
+Configuring only the main IP and port of JupyterHub should be sufficient for
+most deployments of JupyterHub. However, more customized scenarios may need
+additional networking details to be configured.
+
+Note that `c.JupyterHub.ip` and `c.JupyterHub.port` are single values,
+not tuples or lists – JupyterHub listens to only a single IP address and
+port.
+
+## Set the Proxy's REST API communication URL (optional)
+
+By default, this REST API listens on port 8001 of `localhost` only.
+The Hub service talks to the proxy via a REST API on a secondary port. The
+API URL can be configured separately and override the default settings.
+
+### Set api_url
+
+The URL to access the API, `c.configurableHTTPProxy.api_url`, is configurable.
+An example entry to set the proxy's API URL in `jupyterhub_config.py` is:
+
+```python
+c.ConfigurableHTTPProxy.api_url = 'http://10.0.1.4:5432'
+```
+
+### proxy_api_ip and proxy_api_port (Deprecated in 0.8)
+
+If running the Proxy separate from the Hub, configure the REST API communication
+IP address and port by adding this to the `jupyterhub_config.py` file:
+
+```python
+# ideally a private network address
+c.JupyterHub.proxy_api_ip = '10.0.1.4'
+c.JupyterHub.proxy_api_port = 5432
+```
+
+We recommend using the proxy's `api_url` setting instead of the deprecated
+settings, `proxy_api_ip` and `proxy_api_port`.
+
+## Configure the Hub if the Proxy or Spawners are remote or isolated
+
+The Hub service listens only on `localhost` (port 8081) by default.
+The Hub needs to be accessible from both the proxy and all Spawners.
+When spawning local servers, an IP address setting of `localhost` is fine.
+
+If *either* the Proxy *or* (more likely) the Spawners will be remote or
+isolated in containers, the Hub must listen on an IP that is accessible.
+
+```python
+c.JupyterHub.hub_ip = '10.0.1.4'
+c.JupyterHub.hub_port = 54321
+```
+
+**Added in 0.8:** The `c.JupyterHub.hub_connect_ip` setting is the ip address or
+hostname that other services should use to connect to the Hub. A common
+configuration for, e.g. docker, is:
+
+```python
+c.JupyterHub.hub_ip = '0.0.0.0'  # listen on all interfaces
+c.JupyterHub.hub_connect_ip = '10.0.1.4'  # ip as seen on the docker network. Can also be a hostname.
+```
+
+## Adjusting the hub's URL
+
+The hub will most commonly be running on a hostname of its own.  If it
+is not – for example, if the hub is being reverse-proxied and being
+exposed at a URL such as `https://proxy.example.org/jupyter/` – then
+you will need to tell JupyterHub the base URL of the service.  In such
+a case, it is both necessary and sufficient to set
+`c.JupyterHub.base_url = '/jupyter/'` in the configuration.

docs/source/getting-started/security-basics.rst

@@ -0,0 +1,186 @@
+Security settings
+=================
+
+.. important::
+
+   You should not run JupyterHub without SSL encryption on a public network.
+
+Security is the most important aspect of configuring Jupyter. Three
+configuration settings are the main aspects of security configuration:
+
+1. :ref:`SSL encryption <ssl-encryption>` (to enable HTTPS)
+2. :ref:`Cookie secret <cookie-secret>` (a key for encrypting browser cookies)
+3. Proxy :ref:`authentication token <authentication-token>` (used for the Hub and
+   other services to authenticate to the Proxy)
+
+The Hub hashes all secrets (e.g., auth tokens) before storing them in its
+database. A loss of control over read-access to the database should have
+minimal impact on your deployment; if your database has been compromised, it
+is still a good idea to revoke existing tokens.
+
+.. _ssl-encryption:
+
+Enabling SSL encryption
+-----------------------
+
+Since JupyterHub includes authentication and allows arbitrary code execution,
+you should not run it without SSL (HTTPS).
+
+Using an SSL certificate
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+This will require you to obtain an official, trusted SSL certificate or create a
+self-signed certificate. Once you have obtained and installed a key and
+certificate you need to specify their locations in the ``jupyterhub_config.py``
+configuration file as follows:
+
+.. code-block:: python
+
+    c.JupyterHub.ssl_key = '/path/to/my.key'
+    c.JupyterHub.ssl_cert = '/path/to/my.cert'
+
+
+Some cert files also contain the key, in which case only the cert is needed. It
+is important that these files be put in a secure location on your server, where
+they are not readable by regular users.
+
+If you are using a **chain certificate**, see also chained certificate for SSL
+in the JupyterHub `Troubleshooting FAQ <../troubleshooting.html>`_.
+
+Using letsencrypt
+~~~~~~~~~~~~~~~~~
+
+It is also possible to use `letsencrypt <https://letsencrypt.org/>`_ to obtain
+a free, trusted SSL certificate. If you run letsencrypt using the default
+options, the needed configuration is (replace ``mydomain.tld`` by your fully
+qualified domain name):
+
+.. code-block:: python
+
+    c.JupyterHub.ssl_key = '/etc/letsencrypt/live/{mydomain.tld}/privkey.pem'
+    c.JupyterHub.ssl_cert = '/etc/letsencrypt/live/{mydomain.tld}/fullchain.pem'
+
+If the fully qualified domain name (FQDN) is ``example.com``, the following
+would be the needed configuration:
+
+.. code-block:: python
+
+    c.JupyterHub.ssl_key = '/etc/letsencrypt/live/example.com/privkey.pem'
+    c.JupyterHub.ssl_cert = '/etc/letsencrypt/live/example.com/fullchain.pem'
+
+
+If SSL termination happens outside of the Hub
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In certain cases, for example if the hub is running behind a reverse proxy, and
+`SSL termination is being provided by NGINX <https://www.nginx.com/resources/admin-guide/nginx-ssl-termination/>`_,
+it is reasonable to run the hub without SSL.
+
+To achieve this, simply omit the configuration settings
+``c.JupyterHub.ssl_key`` and ``c.JupyterHub.ssl_cert``
+(setting them to ``None`` does not have the same effect, and is an error).
+
+.. _cookie-secret:
+
+Cookie secret
+-------------
+
+The cookie secret is an encryption key, used to encrypt the browser cookies
+which are used for authentication. Three common methods are described for
+generating and configuring the cookie secret.
+
+Generating and storing as a cookie secret file
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The cookie secret should be 32 random bytes, encoded as hex, and is typically
+stored in a ``jupyterhub_cookie_secret`` file. An example command to generate the
+``jupyterhub_cookie_secret`` file is:
+
+.. code-block:: bash
+
+    openssl rand -hex 32 > /srv/jupyterhub/jupyterhub_cookie_secret
+
+In most deployments of JupyterHub, you should point this to a secure location on
+the file system, such as ``/srv/jupyterhub/jupyterhub_cookie_secret``.
+
+The location of the ``jupyterhub_cookie_secret`` file can be specified in the
+``jupyterhub_config.py`` file as follows:
+
+.. code-block:: python
+
+    c.JupyterHub.cookie_secret_file = '/srv/jupyterhub/jupyterhub_cookie_secret'
+
+If the cookie secret file doesn't exist when the Hub starts, a new cookie
+secret is generated and stored in the file. The file must not be readable by
+``group`` or ``other`` or the server won't start. The recommended permissions
+for the cookie secret file are ``600`` (owner-only rw).
+
+Generating and storing as an environment variable
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+If you would like to avoid the need for files, the value can be loaded in the
+Hub process from the ``JPY_COOKIE_SECRET`` environment variable, which is a
+hex-encoded string. You can set it this way:
+
+.. code-block:: bash
+
+    export JPY_COOKIE_SECRET=$(openssl rand -hex 32)
+
+For security reasons, this environment variable should only be visible to the
+Hub. If you set it dynamically as above, all users will be logged out each time
+the Hub starts.
+
+Generating and storing as a binary string
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+You can also set the cookie secret in the configuration file
+itself, ``jupyterhub_config.py``, as a binary string:
+
+.. code-block:: python
+
+    c.JupyterHub.cookie_secret = bytes.fromhex('64 CHAR HEX STRING')
+
+
+.. important::
+
+   If the cookie secret value changes for the Hub, all single-user notebook
+   servers must also be restarted.
+
+
+.. _authentication-token:
+
+Proxy authentication token
+--------------------------
+
+The Hub authenticates its requests to the Proxy using a secret token that
+the Hub and Proxy agree upon. The value of this string should be a random
+string (for example, generated by ``openssl rand -hex 32``).
+
+Generating and storing token in the configuration file
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Or you can set the value in the configuration file, ``jupyterhub_config.py``:
+
+.. code-block:: python
+
+    c.JupyterHub.proxy_auth_token = '0bc02bede919e99a26de1e2a7a5aadfaf6228de836ec39a05a6c6942831d8fe5'
+
+Generating and storing as an environment variable
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+You can pass this value of the proxy authentication token to the Hub and Proxy
+using the ``CONFIGPROXY_AUTH_TOKEN`` environment variable:
+
+.. code-block:: bash
+
+    export CONFIGPROXY_AUTH_TOKEN=$(openssl rand -hex 32)
+
+This environment variable needs to be visible to the Hub and Proxy.
+
+Default if token is not set
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+If you don't set the Proxy authentication token, the Hub will generate a random
+key itself, which means that any time you restart the Hub you **must also
+restart the Proxy**. If the proxy is a subprocess of the Hub, this should happen
+automatically (this is the default configuration).

docs/source/getting-started/services-basics.md

@@ -0,0 +1,121 @@
+# External services
+
+When working with JupyterHub, a **Service** is defined as a process
+that interacts with the Hub's REST API. A Service may perform a specific
+or action or task. For example, shutting down individuals' single user
+notebook servers that have been idle for some time is a good example of
+a task that could be automated by a Service. Let's look at how the
+[cull_idle_servers][] script can be used as a Service.
+
+## Real-world example to cull idle servers
+
+JupyterHub has a REST API that can be used by external services. This
+document will:
+
+- explain some basic information about API tokens
+- clarify that API tokens can be used to authenticate to
+  single-user servers as of [version 0.8.0](../changelog)
+- show how the [cull_idle_servers][] script can be:
+    - used in a Hub-managed service
+    - run as a standalone script
+
+Both examples for `cull_idle_servers` will communicate tasks to the
+Hub via the REST API.
+
+## API Token basics
+
+### Create an API token
+
+To run such an external service, an API token must be created and
+provided to the service.
+
+As of [version 0.6.0](../changelog), the preferred way of doing
+this is to first generate an API token:
+
+```bash
+openssl rand -hex 32
+```
+
+In [version 0.8.0](../changelog), a TOKEN request page for
+generating an API token is available from the JupyterHub user interface:
+
+![Request API TOKEN page](../images/token-request.png)
+
+![API TOKEN success page](../images/token-request-success.png)
+
+### Pass environment variable with token to the Hub
+
+In the case of `cull_idle_servers`, it is passed as the environment
+variable called `JUPYTERHUB_API_TOKEN`.
+
+### Use API tokens for services and tasks that require external access
+
+While API tokens are often associated with a specific user, API tokens
+can be used by services that require external access for activities
+that may not correspond to a specific human, e.g. adding users during
+setup for a tutorial or workshop. Add a service and its API token to the
+JupyterHub configuration file, `jupyterhub_config.py`:
+
+```python
+c.JupyterHub.services = [
+    {'name': 'adding-users', 'api_token': 'super-secret-token'},
+]
+```
+
+### Restart JupyterHub
+
+Upon restarting JupyterHub, you should see a message like below in the
+logs:
+
+```
+Adding API token for <username>
+```
+
+## Authenticating to single-user servers using API token
+
+In JupyterHub 0.7, there is no mechanism for token authentication to
+single-user servers, and only cookies can be used for authentication.
+0.8 supports using JupyterHub API tokens to authenticate to single-user
+servers.
+
+## Configure `cull-idle` to run as a Hub-Managed Service
+
+In `jupyterhub_config.py`, add the following dictionary for the
+`cull-idle` Service to the `c.JupyterHub.services` list:
+
+```python
+c.JupyterHub.services = [
+    {
+        'name': 'cull-idle',
+        'admin': True,
+        'command': [sys.executable, 'cull_idle_servers.py', '--timeout=3600'],
+    }
+]
+```
+
+where:
+
+- `'admin': True` indicates that the Service has 'admin' permissions, and
+- `'command'` indicates that the Service will be launched as a
+  subprocess, managed by the Hub.
+
+## Run `cull-idle` manually as a standalone script
+
+Now you can run your script, i.e. `cull_idle_servers`, by providing it
+the API token and it will authenticate through the REST API to
+interact with it.
+
+This will run `cull-idle` manually. `cull-idle` can be run as a standalone
+script anywhere with access to the Hub, and will periodically check for idle
+servers and shut them down via the Hub's REST API. In order to shutdown the
+servers, the token given to cull-idle must have admin privileges.
+
+Generate an API token and store it in the `JUPYTERHUB_API_TOKEN` environment
+variable. Run `cull_idle_servers.py` manually.
+
+```bash
+    export JUPYTERHUB_API_TOKEN='token'
+    python3 cull_idle_servers.py [--timeout=900] [--url=http://127.0.0.1:8081/hub/api]
+```
+
+[cull_idle_servers]: https://github.com/jupyterhub/jupyterhub/blob/master/examples/cull-idle/cull_idle_servers.py

docs/source/getting-started/spawners-basics.md

@@ -0,0 +1,33 @@
+# Spawners and single-user notebook servers
+
+Since the single-user server is an instance of `jupyter notebook`, an entire separate
+multi-process application, there are many aspect of that server can configure, and a lot of ways
+to express that configuration.
+
+At the JupyterHub level, you can set some values on the Spawner. The simplest of these is
+`Spawner.notebook_dir`, which lets you set the root directory for a user's server. This root
+notebook directory is the highest level directory users will be able to access in the notebook
+dashboard. In this example, the root notebook directory is set to `~/notebooks`, where `~` is
+expanded to the user's home directory.
+
+```python
+c.Spawner.notebook_dir = '~/notebooks'
+```
+
+You can also specify extra command-line arguments to the notebook server with:
+
+```python
+c.Spawner.args = ['--debug', '--profile=PHYS131']
+```
+
+This could be used to set the users default page for the single user server:
+
+```python
+c.Spawner.args = ['--NotebookApp.default_url=/notebooks/Welcome.ipynb']
+```
+
+Since the single-user server extends the notebook server application,
+it still loads configuration from the `jupyter_notebook_config.py` config file.
+Each user may have one of these files in `$HOME/.jupyter/`.
+Jupyter also supports loading system-wide config files from `/etc/jupyter/`,
+which is the place to put configuration that you want to affect all of your users.

docs/source/howitworks.md

@@ -1,77 +0,0 @@
-# How JupyterHub works
-
-JupyterHub is a multi-user server that manages and proxies multiple instances of the single-user Jupyter notebook server.
-
-There are three basic processes involved:
-
-- multi-user Hub (Python/Tornado)
-- [configurable http proxy](https://github.com/jupyterhub/configurable-http-proxy) (node-http-proxy)
-- multiple single-user IPython notebook servers (Python/IPython/Tornado)
-
-The proxy is the only process that listens on a public interface.
-The Hub sits behind the proxy at `/hub`.
-Single-user servers sit behind the proxy at `/user/[username]`.
-
-
-## Logging in
-
-When a new browser logs in to JupyterHub, the following events take place:
-
-- Login data is handed to the [Authenticator](#authentication) instance for validation
-- The Authenticator returns the username, if login information is valid
-- A single-user server instance is [Spawned](#spawning) for the logged-in user
-- When the server starts, the proxy is notified to forward `/user/[username]/*` to the single-user server
-- Two cookies are set, one for `/hub/` and another for `/user/[username]`,
-  containing an encrypted token.
-- The browser is redirected to `/user/[username]`, which is handled by the single-user server
-
-Logging into a single-user server is authenticated via the Hub:
-
-- On request, the single-user server forwards the encrypted cookie to the Hub for verification
-- The Hub replies with the username if it is a valid cookie
-- If the user is the owner of the server, access is allowed
-- If it is the wrong user or an invalid cookie, the browser is redirected to `/hub/login`
-
-
-## Customizing  JupyterHub
-
-There are two basic extension points for JupyterHub: How users are authenticated,
-and how their server processes are started.
-Each is governed by a customizable class,
-and JupyterHub ships with just the most basic version of each.
-
-To enable custom authentication and/or spawning,
-subclass Authenticator or Spawner,
-and override the relevant methods.
-
-
-### Authentication
-
-Authentication is customizable via the Authenticator class.
-Authentication can be replaced by any mechanism,
-such as OAuth, Kerberos, etc.
-
-JupyterHub only ships with [PAM](https://en.wikipedia.org/wiki/Pluggable_authentication_module) authentication,
-which requires the server to be run as root,
-or at least with access to the PAM service,
-which regular users typically do not have
-(on Ubuntu, this requires being added to the `shadow` group).
-
-[More info on custom Authenticators](authenticators.html).
-
-See a list of custom Authenticators [on the wiki](https://github.com/jupyterhub/jupyterhub/wiki/Authenticators).
-
-
-### Spawning
-
-Each single-user server is started by a Spawner.
-The Spawner represents an abstract interface to a process,
-and needs to be able to take three actions:
-
-1. start the process
-2. poll whether the process is still running
-3. stop the process
-
-[More info on custom Spawners](spawners.html).
-
-See a list of custom Spawners [on the wiki](https://github.com/jupyterhub/jupyterhub/wiki/Spawners).

docs/source/index-about.rst

@@ -0,0 +1,15 @@
+=====
+About
+=====
+
+JupyterHub is an open source project and community. It is a part of the
+`Jupyter Project <https://jupyter.org>`_. JupyterHub is an open and inclusive
+community, and invites contributions from anyone. This section covers information
+about our community, as well as ways that you can connect and get involved.
+
+.. toctree::
+   :maxdepth: 1
+
+   contributor-list
+   changelog
+   gallery-jhub-deployments

docs/source/index-admin.rst

@@ -0,0 +1,13 @@
+=====================
+Administrator's Guide
+=====================
+
+This guide covers best-practices, tips, common questions and operations, as
+well as other information relevant to running your own JupyterHub over time.
+
+.. toctree::
+   :maxdepth: 2
+
+   troubleshooting
+   admin/upgrading
+   changelog

docs/source/index.rst

@@ -1,116 +1,150 @@
+==========
 JupyterHub
 ==========
 
-With JupyterHub you can create a **multi-user Hub** which spawns, manages,
-and proxies multiple instances of the single-user
-`Jupyter notebook <https://jupyter-notebook.readthedocs.io/en/latest/>`_ server.
-Due to its flexibility and customization options, JupyterHub can be used to
-serve notebooks to a class of students, a corporate data science group, or a
-scientific research group.
+`JupyterHub`_ is the best way to serve `Jupyter notebook`_ for multiple users.
+It can be used in a classes of students, a corporate data science group or scientific
+research group. It is a multi-user **Hub** that spawns, manages, and proxies multiple
+instances of the single-user `Jupyter notebook`_ server.
+
+To make life easier, JupyterHub have distributions. Be sure to
+take a look at them before continuing with the configuration of the broad
+original system of `JupyterHub`_. Today, you can find two main cases:
+
+1. If you need a simple case for a small amount of users (0-100) and single server
+   take a look at
+   `The Littlest JupyterHub <https://github.com/jupyterhub/the-littlest-jupyterhub>`__ distribution.
+2. If you need to allow for even more users, a dynamic amount of servers can be used on a cloud,
+   take a look at the `Zero to JupyterHub with Kubernetes <https://github.com/jupyterhub/zero-to-jupyterhub-k8s>`__ .
 
 
-.. image:: images/jhub-parts.png
+Four subsystems make up JupyterHub:
+
+* a **Hub** (tornado process) that is the heart of JupyterHub
+* a **configurable http proxy** (node-http-proxy) that receives the requests from the client's browser
+* multiple **single-user Jupyter notebook servers** (Python/IPython/tornado) that are monitored by Spawners
+* an **authentication class** that manages how users can access the system
+
+
+Besides these central pieces, you can add optional configurations through a `config.py` file and manage users kernels on an admin panel. A simplification of the whole system can be seen in the figure below:
+
+.. image:: images/jhub-fluxogram.jpeg
    :alt: JupyterHub subsystems
-   :width: 40%
-   :align: right
+   :width: 80%
+   :align: center
 
 
-Three subsystems make up JupyterHub:
+JupyterHub performs the following functions:
 
-* a multi-user **Hub** (tornado process)
-* a **configurable http proxy** (node-http-proxy)
-* multiple **single-user Jupyter notebook servers** (Python/IPython/tornado)
-
-JupyterHub's basic flow of operations includes:
-
-- The Hub spawns a proxy
+- The Hub launches a proxy
 - The proxy forwards all requests to the Hub by default
 - The Hub handles user login and spawns single-user servers on demand
-- The Hub configures the proxy to forward URL prefixes to the single-user notebook servers
+- The Hub configures the proxy to forward URL prefixes to the single-user
+  notebook servers
 
-For convenient administration of the Hub, its users, and :doc:`services`
-(added in version 7.0), JupyterHub also provides a
-`REST API <http://petstore.swagger.io/?url=https://raw.githubusercontent.com/jupyterhub/jupyterhub/master/docs/rest-api.yml#!/default>`__.
+For convenient administration of the Hub, its users, and services,
+JupyterHub also provides a `REST API`_.
+
+The JupyterHub team and Project Jupyter value our community, and JupyterHub
+follows the Jupyter `Community Guides <https://jupyter.readthedocs.io/en/latest/community/content-community.html>`_.
 
 Contents
---------
+========
 
-**User Guide**
+.. _index/distributions:
 
-* :doc:`quickstart`
-* :doc:`getting-started`
-* :doc:`howitworks`
-* :doc:`websecurity`
-* :doc:`rest`
+Distributions
+-------------
+
+A JupyterHub **distribution** is tailored towards a particular set of
+use cases. These are generally easier to set up than setting up
+JupyterHub from scratch, assuming they fit your use case.
+
+The two popular ones are:
+
+* `Zero to JupyterHub on Kubernetes <http://z2jh.jupyter.org>`_, for
+  running JupyterHub on top of `Kubernetes <https://k8s.io>`_. This
+  can scale to large number of machines & users.
+* `The Littlest JupyterHub <http://tljh.jupyter.org>`_, for an easy
+  to set up & run JupyterHub supporting 1-100 users on a single machine.
+
+Installation Guide
+------------------
 
 .. toctree::
    :maxdepth: 2
-   :hidden:
-   :caption: User Guide
 
-   quickstart
-   getting-started
-   howitworks
-   websecurity
-   rest
+   installation-guide
 
-**Configuration Guide**
-
-* :doc:`authenticators`
-* :doc:`spawners`
-* :doc:`services`
-* :doc:`config-examples`
-* :doc:`upgrading`
-* :doc:`troubleshooting`
+Getting Started
+---------------
 
 .. toctree::
    :maxdepth: 2
-   :hidden:
-   :caption: Configuration Guide
 
-   authenticators
-   spawners
-   services
-   config-examples
-   upgrading
-   troubleshooting
+   getting-started/index
 
-
-**API Reference**
-
-* :doc:`api/index`
+Technical Reference
+-------------------
+
+.. toctree::
+   :maxdepth: 2
+
+   reference/index
+
+Administrators guide
+--------------------
+
+.. toctree::
+   :maxdepth: 2
+
+   index-admin
+
+API Reference
+-------------
 
 .. toctree::
    :maxdepth: 2
-   :hidden:
-   :caption: API Reference
 
    api/index
 
+Contributing
+------------
 
-**About JupyterHub**
+We want you to contribute to JupyterHub in ways that are most exciting
+& useful to you. We value documentation, testing, bug reporting & code equally,
+and are glad to have your contributions in whatever form you wish :)
 
-* :doc:`changelog`
-* :doc:`contributor-list`
+Our `Code of Conduct <https://github.com/jupyter/governance/blob/master/conduct/code_of_conduct.md>`_
+(`reporting guidelines <https://github.com/jupyter/governance/blob/master/conduct/reporting_online.md>`_)
+helps keep our community welcoming to as many people as possible.
 
 .. toctree::
    :maxdepth: 2
-   :hidden:
-   :caption: About JupyterHub
 
-   changelog
-   contributor-list
+   contributing/index
 
+About JupyterHub
+----------------
+
+.. toctree::
+   :maxdepth: 2
+
+   index-about
 
 Indices and tables
-------------------
+==================
 
 * :ref:`genindex`
 * :ref:`modindex`
 
 
 Questions? Suggestions?
------------------------
+=======================
 
 - `Jupyter mailing list <https://groups.google.com/forum/#!forum/jupyter>`_
 - `Jupyter website <https://jupyter.org>`_
+
+.. _JupyterHub: https://github.com/jupyterhub/jupyterhub
+.. _Jupyter notebook: https://jupyter-notebook.readthedocs.io/en/latest/
+.. _REST API: http://petstore.swagger.io/?url=https://raw.githubusercontent.com/jupyterhub/jupyterhub/master/docs/rest-api.yml#!/default

docs/source/installation-basics.md

@@ -0,0 +1,40 @@
+# Installation Basics
+
+## Platform support
+
+JupyterHub is supported on Linux/Unix based systems. To use JupyterHub, you need
+a Unix server (typically Linux) running somewhere that is accessible to your
+team on the network. The JupyterHub server can be on an internal network at your
+organization, or it can run on the public internet (in which case, take care
+with the Hub's [security](./getting-started/security-basics)).
+
+JupyterHub officially **does not** support Windows. You may be able to use
+JupyterHub on Windows if you use a Spawner and Authenticator that work on
+Windows, but the JupyterHub defaults will not. Bugs reported on Windows will not
+be accepted, and the test suite will not run on Windows. Small patches that fix
+minor Windows compatibility issues (such as basic installation) **may** be accepted,
+however. For Windows-based systems, we would recommend running JupyterHub in a
+docker container or Linux VM.
+
+[Additional Reference:](http://www.tornadoweb.org/en/stable/#installation)
+Tornado's documentation on Windows platform support
+
+## Planning your installation
+
+Prior to beginning installation, it's helpful to consider some of the following:
+
+- deployment system (bare metal, Docker)
+- Authentication (PAM, OAuth, etc.)
+- Spawner of singleuser notebook servers (Docker, Batch, etc.)
+- Services (nbgrader, etc.)
+- JupyterHub database (default SQLite; traditional RDBMS such as PostgreSQL,)
+  MySQL, or other databases supported by [SQLAlchemy](http://www.sqlalchemy.org))
+
+## Folders and File Locations
+
+It is recommended to put all of the files used by JupyterHub into standard
+UNIX filesystem locations.
+
+- `/srv/jupyterhub` for all security and runtime files
+- `/etc/jupyterhub` for all configuration files
+- `/var/log` for log files

docs/source/installation-guide-hard.md

@@ -0,0 +1,338 @@
+# Install JupyterHub and JupyterLab from the ground up
+
+The combination of [JupyterHub](https://jupyterhub.readthedocs.io) and [JupyterLab](https://jupyterlab.readthedocs.io)
+is a great way to make shared computing resources available to a group.
+
+These instructions are a guide for a manual, 'bare metal' install of [JupyterHub](https://jupyterhub.readthedocs.io) 
+and [JupyterLab](https://jupyterlab.readthedocs.io). This is ideal for running on a single server: build a beast
+of a machine and share it within your lab, or use a virtual machine from any VPS or cloud provider.
+
+This guide has similar goals to [The Littlest JupyterHub](https://the-littlest-jupyterhub.readthedocs.io) setup
+script. However, instead of bundling all these step for you into one installer, we will perform every step manually.
+This makes it easy to customize any part (e.g. if you want to run other services on the same system and need to make them
+work together), as well as giving you full control and understanding of your setup.
+
+
+## Prerequisites
+
+Your own server with administrator (root) access. This could be a local machine, a remotely hosted one, or a cloud instance
+or VPS. Each user who will access JupyterHub should have a standard user account on the machine. The install will be done
+through the command line - useful if you log into your machine remotely using SSH.
+
+This tutorial was tested on **Ubuntu 18.04**. No other Linux distributions have been tested, but the instructions 
+should be reasonably straightforward to adapt.
+
+
+## Goals
+
+JupyterLab enables access to a multiple 'kernels', each one being a given environment for a given language. The most
+common is a Python environment, for scientific computing usually one managed by the `conda` package manager.
+
+This guide will set up JupyterHub and JupyterLab seperately from the Python environment. In other words, we treat
+JupyterHub+JupyterLab as a 'app' or webservice, which will connect to the kernels available on the system. Specifically:
+
+- We will create an installation of JupyterHub and JupyterLab using a virtualenv under `/opt` using the system Python.
+
+- We will install conda globally.
+
+- We will create a shared conda environment which can be used (but not modified) by all users.
+
+- We will show how users can create their own private conda environments, where they can install whatever they like.
+
+
+The default JupyterHub Authenticator uses PAM to authenticate system users with their username and password. One can
+[choose the authenticator](https://jupyterhub.readthedocs.io/en/stable/reference/authenticators.html#authenticators) 
+that best suits their needs. In this guide we will use the default Authenticator because it makes it easy for everyone to manage data 
+in their home folder and to mix and match different services and access methods (e.g. SSH) which all work using the 
+Linux system user accounts. Therefore, each user of JupyterHub will need a standard system user account.
+
+Another goal of this guide is to use system provided packages wherever possible. This has the advantage that these packages
+get automatic patches and security updates (be sure to turn on automatic updates in Ubuntu). This means less maintenance
+work and a more reliable system.
+
+## Part 1: JupyterHub and JupyterLab
+
+### Setup the JupyterHub and JupyterLab in a virtual environment
+
+First we create a virtual environment under '/opt/jupyterhub'. The '/opt' folder is where apps not belonging to the operating
+system are [commonly installed](https://unix.stackexchange.com/questions/11544/what-is-the-difference-between-opt-and-usr-local).
+Both jupyterlab and jupyterhub will be installed into this virtualenv. Create it with the command:
+
+```sh
+sudo python3 -m venv /opt/jupyterhub/
+```
+
+Now we use pip to install the required Python packages into the new virtual environment. Be sure to install 
+`wheel` first. Since we are separating the user interface from the computing kernels, we don't install 
+any Python scientific packages here. The only exception is `ipywidgets` because this is needed to allow connection 
+between interactive tools running in the kernel and the user interface. 
+
+Note that we use `/opt/jupyterhub/bin/python3 -m pip install` each time - this [makes sure](https://snarky.ca/why-you-should-use-python-m-pip/)
+that the packages are installed to the correct virtual environment.
+
+Perform the install using the following commands:
+
+```sh
+sudo /opt/jupyterhub/bin/python3 -m pip install wheel
+sudo /opt/jupyterhub/bin/python3 -m pip install jupyterhub jupyterlab
+sudo /opt/jupyterhub/bin/python3 -m pip install ipywidgets
+```
+
+JupyterHub also currently defaults to requiring `configurable-http-proxy`, which needs `nodejs` and `npm`. The versions
+of these available in Ubuntu therefore need to be installed first (they are a bit old but this is ok for our needs):
+
+```sh
+sudo apt install nodejs npm
+```
+
+Then install `configurable-http-proxy`:
+
+```sh
+npm install -g configurable-http-proxy
+```
+
+### Create the configuration for JupyterHub
+
+Now we start creating configuration files. To keep everything together, we put all the configuration into the folder
+created for the virtualenv, under `/opt/jupyterhub/etc/`. For each thing needing configuration, we will create a further
+subfolder and necessary files. 
+
+First create the folder for the JupyterHub configuration and navigate to it:
+
+```sh
+sudo mkdir -p /opt/jupyterhub/etc/jupyterhub/
+cd /opt/jupyterhub/etc/jupyterhub/
+```
+Then generate the default configuration file
+
+```sh
+sudo /opt/jupyterhub/bin/jupyterhub --generate-config
+```
+This will produce the default configuration file `/opt/jupyterhub/etc/jupyterhub/jupyterhub_config.py`
+
+You will need to edit the configuration file to make the JupyterLab interface by the default. 
+Set the following configuration option in your `jupyterhub_config.py` file:
+
+```python
+c.Spawner.default_url = '/lab' 
+```
+
+Further configuration options may be found in the documentation.
+
+### Setup Systemd service
+
+We will setup JupyterHub to run as a system service using Systemd (which is responsible for managing all services and 
+servers that run on startup in Ubuntu). We will create a service file in a suitable location in the virtualenv folder 
+and then link it to the system services. First create the folder for the service file:
+
+```sh
+sudo mkdir -p /opt/jupyterhub/etc/systemd
+```
+
+Then create the following text file using your [favourite editor](https://micro-editor.github.io/) at
+```sh
+/opt/jupyterhub/etc/systemd/jupyterhub.service
+```
+
+Paste the following service unit definition into the file:
+
+```
+[Unit]
+Description=JupyterHub
+After=syslog.target network.target
+
+[Service]
+User=root
+Environment="PATH=/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/opt/jupyterhub/bin"
+ExecStart=/opt/jupyterhub/bin/jupyterhub -f /opt/jupyterhub/etc/jupyterhub/jupyterhub_config.py
+
+[Install]
+WantedBy=multi-user.target
+```
+
+This sets up the environment to use the virtual environment we created, tells Systemd how to start jupyterhub using
+the configuration file we created, specifies that jupyterhub will be started as the `root` user (needed so that it can
+start jupyter on behalf of other logged in users), and specifies that jupyterhub should start on boot after the network
+is enabled.
+
+Finally, we need to make systemd aware of our service file. First we symlink our file into systemd's directory:
+
+```sh
+sudo ln -s /opt/jupyterhub/etc/systemd/jupyterhub.service /etc/systemd/system/jupyterhub.service
+```
+
+Then tell systemd to reload its configuration files
+
+```sh
+sudo systemctl daemon-reload
+```
+
+And finally enable the service 
+
+```sh
+sudo systemctl enable jupyterhub.service
+```
+
+The service will start on reboot, but we can start it straight away using:
+
+```sh
+sudo systemctl start jupyterhub.service
+```
+
+...and check that it's running using:
+
+```sh
+sudo systemctl status jupyterhub.service
+```
+
+You should now be already be able to access jupyterhub using `<your servers ip>:8000` (assuming you haven't already set
+up a firewall or something). However, when you log in the jupyter notebooks will be trying to use the Python virtualenv
+that was created to install JupyterHub, this is not what we want. So on to part 2   
+
+## Part 2: Conda environments
+
+### Install conda for the whole system
+
+We will use `conda` to manage Python environments. We will install the officially maintained `conda` packages for Ubuntu,
+this means they will get automatic updates with the rest of the system. Setup repo for the official Conda debian packages,
+instructions are copied from [here](https://docs.conda.io/projects/conda/en/latest/user-guide/install/rpm-debian.html):
+
+Install Anacononda public gpg key to trusted store
+```sh
+curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg 
+sudo install -o root -g root -m 644 conda.gpg /etc/apt/trusted.gpg.d/
+```
+
+Add Debian repo
+
+```sh
+sudo echo "deb [arch=amd64] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list
+```
+
+Install conda
+
+```sh
+sudo apt update
+sudo apt install conda
+```
+
+This will install conda into the folder `/opt/conda/`, with the conda command available at `/opt/conda/bin/conda`.
+
+Finally, we can make conda more easily available to users by symlinking the conda shell setup script to the profile
+'drop in' folder so that it gets run on login
+
+```sh
+sudo ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh
+```
+
+### Install a default conda environment for all users
+
+First create a folder for conda envs (might exist already):
+```sh
+sudo mkdir /opt/conda/envs/
+```
+
+Then create a conda environment to your liking within that folder. Here we have called it 'python' because it will
+be the obvious default - call it whatever you like. You can install whatever you like into this environment, but you MUST at least install `ipykernel`.
+
+```sh
+sudo /opt/conda/bin/conda create --prefix /opt/conda/envs/python python=3.7 ipykernel
+```
+
+Once your env is set up as desired, make it visible to Jupyter by installing the kernel spec. There are two options here: 
+
+1 ) Install into the JupyterHub virtualenv - this ensures it overrides the default python version. It will only be visible
+to the JupyterHub installation we have just created. This is useful to avoid conda environments appearing where they are not expected.
+
+```sh
+sudo /opt/conda/envs/python/bin/python -m ipykernel install --prefix=/opt/jupyterhub/ --name 'python' --display-name "Python (default)"
+```
+
+2 ) Install it system-wide by putting it into `/usr/local`. It will be visible to any parallel install of JupyterHub or
+JupyterLab, and will persist even if you later delete or modify the JupyterHub installation. This is useful if the kernels
+might be used by other services, or if you want to modify the JupyterHub installation independently from the conda environments.
+
+```sh
+sudo /opt/conda/envs/python/bin/python -m ipykernel install --prefix /usr/local/ --name 'python' --display-name "Python (default)"
+````
+
+### Setting up users' own conda environments
+
+There is relatively little for the administrator to do here, as users will have to set up their own environments using the shell. 
+On login they should run `conda init` or  `/opt/conda/bin/conda`. The can then use conda to set up their environment,
+although they must also install `ipykernel`. Once done, they can enable their kernel using:
+
+```sh
+/path/to/kernel/env/bin/python -m ipykernel install --name 'python-my-env' --display-name "Python My Env"
+```
+
+This will place the kernel spec into their home folder, where Jupyter will look for it on startup.
+
+
+## Setting up a reverse proxy 
+
+The guide so far results in JupyterHub running on port 8000. It is not generally advisable to run open web services in 
+this way - instead, use a reverse proxy running on standard HTTP/HTTPS ports.
+
+> **Important**: Be aware of the security implications especially if you are running a server that is accessible from the open internet 
+> i.e. not protected within an institutional intranet or private home/office network. You should set up a firewall and 
+> HTTPS encryption, which is outside of the scope of this guide. For HTTPS consider using [LetsEncrypt](https://letsencrypt.org/) 
+> or setting up a [self-signed certificate](https://www.digitalocean.com/community/tutorials/how-to-create-a-self-signed-ssl-certificate-for-nginx-in-ubuntu-18-04).
+> Firewalls may be set up using `ufs` or `firewalld` and combined with `fail2ban`.
+
+### Using Nginx
+Nginx is a mature and established web server and reverse proxy and is easy to install using `sudo apt install nginx`.
+Details on using Nginx as a reverse proxy can be found elsewhere. Here, we will only outline the additional steps needed 
+to setup JupyterHub with Nginx and host it at a given URL e.g. `<your-server-ip-or-url>/jupyter`. 
+This could be useful for example if you are running several services or web pages on the same server.
+
+To achieve this needs a few tweaks to both the JupyterHub configuration and the Nginx config. First, edit the
+configuration file `/opt/jupyterhub/etc/jupyterhub/jupyterhub_config.py` and add the line:
+
+```python
+c.JupyterHub.bind_url = 'http://:8000/jupyter'
+```
+
+where `/jupyter` will be the relative URL of the JupyterHub.
+
+Now Nginx must be configured with a to pass all traffic from `/jupyter` to the the local address `127.0.0.1:8000`.
+Add the following snippet to your nginx configuration file (e.g. `/etc/nginx/sites-available/default`).
+
+```
+  location /jupyter/ {    
+    # NOTE important to also set base url of jupyterhub to /jupyter in its config
+    proxy_pass http://127.0.0.1:8000;
+
+    proxy_redirect   off;
+    proxy_set_header X-Real-IP $remote_addr;
+    proxy_set_header Host $host;
+    proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+    proxy_set_header X-Forwarded-Proto $scheme;
+
+    # websocket headers
+    proxy_set_header Upgrade $http_upgrade;
+    proxy_set_header Connection $connection_upgrade;
+
+  }
+```
+
+Nginx will not run if there are errors in the configuration, check your configuration using:
+
+```sh
+nginx -t
+```
+
+If there are no errors, you can restart the Nginx service for the new configuration to take effect.
+
+```sh
+sudo systemctl restart nginx.service
+```
+
+
+## Getting started using your new JupyterHub
+
+Once you have setup JupyterHub and Nginx proxy as described, you can browse to your JupyterHub IP or URL 
+(e.g. if your server IP address is `123.456.789.1` and you decided to host JupyterHub at the `/jupyter` URL, browse
+to `123.456.789.1/jupyter`). You will find a login page where you enter your Linux username and password. On login
+you will be presented with the JupyterLab interface, with the file browser pane showing the contents of your users'
+home directory on the server.

docs/source/installation-guide.rst

@@ -0,0 +1,14 @@
+Installation
+============
+
+These sections cover how to get up-and-running with JupyterHub. They cover
+some basics of the tools needed to deploy JupyterHub as well as how to get it
+running on your own infrastructure.
+
+.. toctree::
+   :maxdepth: 3
+
+   quickstart
+   quickstart-docker
+   installation-basics
+   installation-guide-hard

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+5vmLc+Ibz+eT+rM=
+=XVDe
+-----END PGP PUBLIC KEY BLOCK-----

docs/source/quickstart-docker.rst

@@ -0,0 +1,49 @@
+Using Docker
+============
+
+.. important::
+
+   We highly recommend following the `Zero to JupyterHub`_ tutorial for
+   installing JupyterHub.
+
+Alternate installation using Docker
+-----------------------------------
+
+A ready to go `docker image <https://hub.docker.com/r/jupyterhub/jupyterhub/>`_
+gives a straightforward deployment of JupyterHub.
+
+.. note::
+
+    This ``jupyterhub/jupyterhub`` docker image is only an image for running
+    the Hub service itself. It does not provide the other Jupyter components,
+    such as Notebook installation, which are needed by the single-user servers.
+    To run the single-user servers, which may be on the same system as the Hub or
+    not, Jupyter Notebook version 4 or greater must be installed.
+
+Starting JupyterHub with docker
+-------------------------------
+
+The JupyterHub docker image can be started with the following command::
+
+    docker run -d -p 8000:8000 --name jupyterhub jupyterhub/jupyterhub jupyterhub
+
+This command will create a container named ``jupyterhub`` that you can
+**stop and resume** with ``docker stop/start``.
+
+The Hub service will be listening on all interfaces at port 8000, which makes
+this a good choice for **testing JupyterHub on your desktop or laptop**.
+
+If you want to run docker on a computer that has a public IP then you should
+(as in MUST) **secure it with ssl** by adding ssl options to your docker
+configuration or using a ssl enabled proxy.
+
+`Mounting volumes <https://docs.docker.com/engine/admin/volumes/volumes/>`_
+will allow you to store data outside the docker image (host system) so it will
+be persistent, even when you start a new image.
+
+The command ``docker exec -it jupyterhub bash`` will spawn a root shell in your
+docker container. You can use the root shell to **create system users in the container**.
+These accounts will be used for authentication in JupyterHub's default
+configuration.
+
+.. _Zero to JupyterHub: https://zero-to-jupyterhub.readthedocs.io/en/latest/

docs/source/quickstart.md

@@ -1,73 +1,67 @@
-# Quickstart - Installation
+# Quickstart
 
 ## Prerequisites
 
-**Before installing JupyterHub**, you will need:
+Before installing JupyterHub, you will need:
 
-- [Python](https://www.python.org/downloads/) 3.3 or greater
-
-  An understanding of using [`pip`](https://pip.pypa.io/en/stable/) or
-  [`conda`](http://conda.pydata.org/docs/get-started.html) for
+- a Linux/Unix based system
+- [Python](https://www.python.org/downloads/) 3.5 or greater. An understanding
+  of using [`pip`](https://pip.pypa.io/en/stable/) or
+  [`conda`](https://conda.io/docs/get-started.html) for
   installing Python packages is helpful.
+- [nodejs/npm](https://www.npmjs.com/). [Install nodejs/npm](https://docs.npmjs.com/getting-started/installing-node),
+  using your operating system's package manager.
 
-- [nodejs/npm](https://www.npmjs.com/)
+  * If you are using **`conda`**, the nodejs and npm dependencies will be installed for
+    you by conda.
 
-  [Install nodejs/npm](https://docs.npmjs.com/getting-started/installing-node),
-  using your operating system's package manager. For example, install on Linux
-  (Debian/Ubuntu) using:
+  * If you are using **`pip`**, install a recent version of
+    [nodejs/npm](https://docs.npmjs.com/getting-started/installing-node).
+    For example, install it on Linux (Debian/Ubuntu) using:
 
-  ```bash
-  sudo apt-get install npm nodejs-legacy
-  ```
-  
-  (The `nodejs-legacy` package installs the `node` executable and is currently
-  required for npm to work on Debian/Ubuntu.)
+    ```
+    sudo apt-get install npm nodejs-legacy
+    ```
+          
+    The `nodejs-legacy` package installs the `node` executable and is currently
+    required for npm to work on Debian/Ubuntu.
 
 - TLS certificate and key for HTTPS communication
-
 - Domain name
 
-**Before running the single-user notebook servers** (which may be on the same
-system as the Hub or not):
+Before running the single-user notebook servers (which may be on the same
+system as the Hub or not), you will need:
 
 - [Jupyter Notebook](https://jupyter.readthedocs.io/en/latest/install.html)
   version 4 or greater
 
 ## Installation
 
-JupyterHub can be installed with `pip` or `conda` and the proxy with `npm`:
+JupyterHub can be installed with `pip` (and the proxy with `npm`) or `conda`:
 
 **pip, npm:**
+
 ```bash
 python3 -m pip install jupyterhub
 npm install -g configurable-http-proxy
+python3 -m pip install notebook  # needed if running the notebook servers locally
 ```
 
 **conda** (one command installs jupyterhub and proxy):
+
 ```bash
-conda install -c conda-forge jupyterhub
+conda install -c conda-forge jupyterhub  # installs jupyterhub and proxy
+conda install notebook  # needed if running the notebook servers locally
 ```
 
-To test your installation:
+Test your installation. If installed, these commands should return the packages'
+help contents:
 
 ```bash
 jupyterhub -h
 configurable-http-proxy -h
 ```
 
-If you plan to run notebook servers locally, you will need also to install
-Jupyter notebook:
-
-**pip:**
-```bash
-python3 -m pip install notebook
-```
-
-**conda:**
-```bash
-conda install notebook
-```
-
 ## Start the Hub server
 
 To start the Hub server, run the command:
@@ -79,82 +73,13 @@ jupyterhub
 Visit `https://localhost:8000` in your browser, and sign in with your unix
 credentials.
 
-To allow multiple users to sign into the Hub server, you must start `jupyterhub` as a *privileged user*, such as root:
+To **allow multiple users to sign in** to the Hub server, you must start
+`jupyterhub` as a *privileged user*, such as root:
 
 ```bash
 sudo jupyterhub
 ```
 
 The [wiki](https://github.com/jupyterhub/jupyterhub/wiki/Using-sudo-to-run-JupyterHub-without-root-privileges)
-describes how to run the server as a *less privileged user*, which requires
+describes how to run the server as a *less privileged user*. This requires
 additional configuration of the system.
-
-----
-
-## Basic Configuration
-
-The [getting started document](docs/source/getting-started.md) contains
-detailed information abouts configuring a JupyterHub deployment.
-
-The JupyterHub **tutorial** provides a video and documentation that explains
-and illustrates the fundamental steps for installation and configuration.
-[Repo](https://github.com/jupyterhub/jupyterhub-tutorial)
-| [Tutorial documentation](http://jupyterhub-tutorial.readthedocs.io/en/latest/)
-
-#### Generate a default configuration file
-
-Generate a default config file:
-
-    jupyterhub --generate-config
-
-#### Customize the configuration, authentication, and process spawning
-
-Spawn the server on ``10.0.1.2:443`` with **https**:
-
-    jupyterhub --ip 10.0.1.2 --port 443 --ssl-key my_ssl.key --ssl-cert my_ssl.cert
-
-The authentication and process spawning mechanisms can be replaced,
-which should allow plugging into a variety of authentication or process
-control environments. Some examples, meant as illustration and testing of this
-concept, are:
-
-- Using GitHub OAuth instead of PAM with [OAuthenticator](https://github.com/jupyterhub/oauthenticator)
-- Spawning single-user servers with Docker, using the [DockerSpawner](https://github.com/jupyterhub/dockerspawner)
-
-----
-
-## Alternate Installation using Docker
-
-A ready to go [docker image for JupyterHub](https://hub.docker.com/r/jupyterhub/jupyterhub/)
-gives a straightforward deployment of JupyterHub.
-
-*Note: This `jupyterhub/jupyterhub` docker image is only an image for running
-the Hub service itself. It does not provide the other Jupyter components, such
-as Notebook installation, which are needed by the single-user servers.
-To run the single-user servers, which may be on the same system as the Hub or
-not, Jupyter Notebook version 4 or greater must be installed.*
-
-#### Starting JupyterHub with docker
-
-The JupyterHub docker image can be started with the following command:
-
-    docker run -d --name jupyterhub jupyterhub/jupyterhub jupyterhub
-
-This command will create a container named `jupyterhub` that you can
-**stop and resume** with `docker stop/start`.
-
-The Hub service will be listening on all interfaces at port 8000, which makes
-this a good choice for **testing JupyterHub on your desktop or laptop**.
-
-If you want to run docker on a computer that has a public IP then you should
-(as in MUST) **secure it with ssl** by adding ssl options to your docker
-configuration or using a ssl enabled proxy.
-
-[Mounting volumes](https://docs.docker.com/engine/userguide/containers/dockervolumes/)
-will allow you to **store data outside the docker image (host system) so it will be persistent**,
-even when you start a new image.
-
-The command `docker exec -it jupyterhub bash` will spawn a root shell in your
-docker container. You can **use the root shell to create system users in the container**.
-These accounts will be used for authentication in JupyterHub's default
-configuration.

docs/source/reference/authenticators.md

@@ -0,0 +1,278 @@
+# Authenticators
+
+The [Authenticator][] is the mechanism for authorizing users to use the
+Hub and single user notebook servers.
+
+## The default PAM Authenticator
+
+JupyterHub ships with the default [PAM][]-based Authenticator, for
+logging in with local user accounts via a username and password.
+
+## The OAuthenticator
+
+Some login mechanisms, such as [OAuth][], don't map onto username and
+password authentication, and instead use tokens. When using these
+mechanisms, you can override the login handlers.
+
+You can see an example implementation of an Authenticator that uses
+[GitHub OAuth][] at [OAuthenticator][].
+
+JupyterHub's [OAuthenticator][] currently supports the following
+popular services:
+
+- Auth0
+- Bitbucket
+- CILogon
+- GitHub
+- GitLab
+- Globus
+- Google
+- MediaWiki
+- Okpy
+- OpenShift
+
+A generic implementation, which you can use for OAuth authentication
+with any provider, is also available.
+
+## The Dummy Authenticator
+
+When testing, it may be helpful to use the
+:class:`~jupyterhub.auth.DummyAuthenticator`. This allows for any username and
+password unless if a global password has been set. Once set, any username will
+still be accepted but the correct password will need to be provided.
+
+## Additional Authenticators
+
+A partial list of other authenticators is available on the
+[JupyterHub wiki](https://github.com/jupyterhub/jupyterhub/wiki/Authenticators).
+
+## Technical Overview of Authentication
+
+### How the Base Authenticator works
+
+The base authenticator uses simple username and password authentication.
+
+The base Authenticator has one central method:
+
+#### Authenticator.authenticate method
+
+    Authenticator.authenticate(handler, data)
+
+This method is passed the Tornado `RequestHandler` and the `POST data`
+from JupyterHub's login form. Unless the login form has been customized,
+`data` will have two keys:
+
+- `username`
+- `password`
+
+The `authenticate` method's job is simple:
+
+- return the username (non-empty str) of the authenticated user if
+  authentication is successful
+- return `None` otherwise
+
+Writing an Authenticator that looks up passwords in a dictionary
+requires only overriding this one method:
+
+```python
+from IPython.utils.traitlets import Dict
+from jupyterhub.auth import Authenticator
+
+class DictionaryAuthenticator(Authenticator):
+
+    passwords = Dict(config=True,
+        help="""dict of username:password for authentication"""
+    )
+
+    async def authenticate(self, handler, data):
+        if self.passwords.get(data['username']) == data['password']:
+            return data['username']
+```
+
+
+#### Normalize usernames
+
+Since the Authenticator and Spawner both use the same username,
+sometimes you want to transform the name coming from the authentication service
+(e.g. turning email addresses into local system usernames) before adding them to the Hub service.
+Authenticators can define `normalize_username`, which takes a username.
+The default normalization is to cast names to lowercase
+
+For simple mappings, a configurable dict `Authenticator.username_map` is used to turn one name into another:
+
+```python
+c.Authenticator.username_map  = {
+  'service-name': 'localname'
+}
+```
+
+When using `PAMAuthenticator`, you can set
+`c.PAMAuthenticator.pam_normalize_username = True`, which will
+normalize usernames using PAM (basically round-tripping them: username
+to uid to username), which is useful in case you use some external
+service that allows multiple usernames mapping to the same user (such
+as ActiveDirectory, yes, this really happens).  When
+`pam_normalize_username` is on, usernames are *not* normalized to
+lowercase.
+
+
+#### Validate usernames
+
+In most cases, there is a very limited set of acceptable usernames.
+Authenticators can define `validate_username(username)`,
+which should return True for a valid username and False for an invalid one.
+The primary effect this has is improving error messages during user creation.
+
+The default behavior is to use configurable `Authenticator.username_pattern`,
+which is a regular expression string for validation.
+
+To only allow usernames that start with 'w':
+
+```python
+c.Authenticator.username_pattern = r'w.*'
+```
+
+
+### How to write a custom authenticator
+
+You can use custom Authenticator subclasses to enable authentication
+via other mechanisms. One such example is using [GitHub OAuth][].
+
+Because the username is passed from the Authenticator to the Spawner,
+a custom Authenticator and Spawner are often used together.
+For example, the Authenticator methods, [pre_spawn_start(user, spawner)][]
+and [post_spawn_stop(user, spawner)][], are hooks that can be used to do
+auth-related startup (e.g. opening PAM sessions) and cleanup
+(e.g. closing PAM sessions).
+
+
+See a list of custom Authenticators [on the wiki](https://github.com/jupyterhub/jupyterhub/wiki/Authenticators).
+
+If you are interested in writing a custom authenticator, you can read
+[this tutorial](http://jupyterhub-tutorial.readthedocs.io/en/latest/authenticators.html).
+
+### Registering custom Authenticators via entry points
+
+As of JupyterHub 1.0, custom authenticators can register themselves via
+the `jupyterhub.authenticators` entry point metadata.
+To do this, in your `setup.py` add:
+
+```python
+setup(
+  ...
+  entry_points={
+    'jupyterhub.authenticators': [
+        'myservice = mypackage:MyAuthenticator',
+    ],
+  },
+)
+```
+
+If you have added this metadata to your package,
+users can select your authenticator with the configuration:
+
+```python
+c.JupyterHub.authenticator_class = 'myservice'
+```
+
+instead of the full
+
+```python
+c.JupyterHub.authenticator_class = 'mypackage:MyAuthenticator'
+```
+
+previously required.
+Additionally, configurable attributes for your authenticator will
+appear in jupyterhub help output and auto-generated configuration files
+via `jupyterhub --generate-config`.
+
+
+### Authentication state
+
+JupyterHub 0.8 adds the ability to persist state related to authentication,
+such as auth-related tokens.
+If such state should be persisted, `.authenticate()` should return a dictionary of the form:
+
+```python
+{
+  'name': username,
+  'auth_state': {
+    'key': 'value',
+  }
+}
+```
+
+where `username` is the username that has been authenticated,
+and `auth_state` is any JSON-serializable dictionary.
+
+Because `auth_state` may contain sensitive information,
+it is encrypted before being stored in the database.
+To store auth_state, two conditions must be met:
+
+1. persisting auth state must be enabled explicitly via configuration
+   ```python
+   c.Authenticator.enable_auth_state = True
+   ```
+2. encryption must be enabled by the presence of `JUPYTERHUB_CRYPT_KEY` environment variable,
+   which should be a hex-encoded 32-byte key.
+   For example:
+   ```bash
+   export JUPYTERHUB_CRYPT_KEY=$(openssl rand -hex 32)
+   ```
+
+
+JupyterHub uses [Fernet](https://cryptography.io/en/latest/fernet/) to encrypt auth_state.
+To facilitate key-rotation, `JUPYTERHUB_CRYPT_KEY` may be a semicolon-separated list of encryption keys.
+If there are multiple keys present, the **first** key is always used to persist any new auth_state.
+
+
+#### Using auth_state
+
+Typically, if `auth_state` is persisted it is desirable to affect the Spawner environment in some way.
+This may mean defining environment variables, placing certificate in the user's home directory, etc.
+The `Authenticator.pre_spawn_start` method can be used to pass information from authenticator state
+to Spawner environment:
+
+```python
+class MyAuthenticator(Authenticator):
+    @gen.coroutine
+    def authenticate(self, handler, data=None):
+        username = yield identify_user(handler, data)
+        upstream_token = yield token_for_user(username)
+        return {
+            'name': username,
+            'auth_state': {
+                'upstream_token': upstream_token,
+            },
+        }
+
+    @gen.coroutine
+    def pre_spawn_start(self, user, spawner):
+        """Pass upstream_token to spawner via environment variable"""
+        auth_state = yield user.get_auth_state()
+        if not auth_state:
+            # auth_state not enabled
+            return
+        spawner.environment['UPSTREAM_TOKEN'] = auth_state['upstream_token']
+```
+
+## pre_spawn_start and post_spawn_stop hooks
+
+Authenticators uses two hooks, [pre_spawn_start(user, spawner)][] and
+[post_spawn_stop(user, spawner)][] to add pass additional state information
+between the authenticator and a spawner. These hooks are typically used auth-related
+startup, i.e. opening a PAM session, and auth-related cleanup, i.e. closing a
+PAM session.
+
+## JupyterHub as an OAuth provider
+
+Beginning with version 0.8, JupyterHub is an OAuth provider.
+
+
+[Authenticator]: https://github.com/jupyterhub/jupyterhub/blob/master/jupyterhub/auth.py
+[PAM]: https://en.wikipedia.org/wiki/Pluggable_authentication_module
+[OAuth]: https://en.wikipedia.org/wiki/OAuth
+[GitHub OAuth]: https://developer.github.com/v3/oauth/
+[OAuthenticator]: https://github.com/jupyterhub/oauthenticator
+[pre_spawn_start(user, spawner)]: https://jupyterhub.readthedocs.io/en/latest/api/auth.html#jupyterhub.auth.Authenticator.pre_spawn_start
+[post_spawn_stop(user, spawner)]: https://jupyterhub.readthedocs.io/en/latest/api/auth.html#jupyterhub.auth.Authenticator.post_spawn_stop

docs/source/reference/config-examples.md

@@ -0,0 +1,8 @@
+# Configuration examples
+
+The following sections provide examples, including configuration files and tips, for the
+following:
+
+- Configuring GitHub OAuth
+- Using reverse proxy (nginx and Apache)
+- Run JupyterHub without root privileges using `sudo`

docs/source/reference/config-ghoauth.md

@@ -0,0 +1,82 @@
+# Configure GitHub OAuth
+
+In this example, we show a configuration file for a fairly standard JupyterHub
+deployment with the following assumptions:
+
+* Running JupyterHub on a single cloud server
+* Using SSL on the standard HTTPS port 443
+* Using GitHub OAuth (using oauthenticator) for login
+* Using the default spawner (to configure other spawners, uncomment and edit
+  `spawner_class` as well as follow the instructions for your desired spawner)
+* Users exist locally on the server
+* Users' notebooks to be served from `~/assignments` to allow users to browse
+  for notebooks within other users' home directories
+* You want the landing page for each user to be a `Welcome.ipynb` notebook in
+  their assignments directory.
+* All runtime files are put into `/srv/jupyterhub` and log files in `/var/log`.
+
+
+The `jupyterhub_config.py` file would have these settings:
+
+```python
+# jupyterhub_config.py file
+c = get_config()
+
+import os
+pjoin = os.path.join
+
+runtime_dir = os.path.join('/srv/jupyterhub')
+ssl_dir = pjoin(runtime_dir, 'ssl')
+if not os.path.exists(ssl_dir):
+    os.makedirs(ssl_dir)
+
+# Allows multiple single-server per user
+c.JupyterHub.allow_named_servers = True
+
+# https on :443
+c.JupyterHub.port = 443
+c.JupyterHub.ssl_key = pjoin(ssl_dir, 'ssl.key')
+c.JupyterHub.ssl_cert = pjoin(ssl_dir, 'ssl.cert')
+
+# put the JupyterHub cookie secret and state db
+# in /var/run/jupyterhub
+c.JupyterHub.cookie_secret_file = pjoin(runtime_dir, 'cookie_secret')
+c.JupyterHub.db_url = pjoin(runtime_dir, 'jupyterhub.sqlite')
+# or `--db=/path/to/jupyterhub.sqlite` on the command-line
+
+# use GitHub OAuthenticator for local users
+c.JupyterHub.authenticator_class = 'oauthenticator.LocalGitHubOAuthenticator'
+c.GitHubOAuthenticator.oauth_callback_url = os.environ['OAUTH_CALLBACK_URL']
+
+# create system users that don't exist yet
+c.LocalAuthenticator.create_system_users = True
+
+# specify users and admin
+c.Authenticator.whitelist = {'rgbkrk', 'minrk', 'jhamrick'}
+c.Authenticator.admin_users = {'jhamrick', 'rgbkrk'}
+
+# uses the default spawner
+# To use a different spawner, uncomment `spawner_class` and set to desired
+# spawner (e.g. SudoSpawner). Follow instructions for desired spawner
+# configuration.
+# c.JupyterHub.spawner_class = 'sudospawner.SudoSpawner'
+
+# start single-user notebook servers in ~/assignments,
+# with ~/assignments/Welcome.ipynb as the default landing page
+# this config could also be put in
+# /etc/jupyter/jupyter_notebook_config.py
+c.Spawner.notebook_dir = '~/assignments'
+c.Spawner.args = ['--NotebookApp.default_url=/notebooks/Welcome.ipynb']
+```
+
+Using the GitHub Authenticator requires a few additional
+environment variable to be set prior to launching JupyterHub:
+
+```bash
+export GITHUB_CLIENT_ID=github_id
+export GITHUB_CLIENT_SECRET=github_secret
+export OAUTH_CALLBACK_URL=https://example.com/hub/oauth_callback
+export CONFIGPROXY_AUTH_TOKEN=super-secret
+# append log output to log file /var/log/jupyterhub.log
+jupyterhub -f /etc/jupyterhub/jupyterhub_config.py &>> /var/log/jupyterhub.log
+```

docs/source/reference/config-proxy.md

@@ -0,0 +1,214 @@
+# Using a reverse proxy
+
+In the following example, we show configuration files for a JupyterHub server
+running locally on port `8000` but accessible from the outside on the standard
+SSL port `443`. This could be useful if the JupyterHub server machine is also
+hosting other domains or content on `443`. The goal in this example is to
+satisfy the following:
+
+* JupyterHub is running on a server, accessed *only* via `HUB.DOMAIN.TLD:443`
+* On the same machine, `NO_HUB.DOMAIN.TLD` strictly serves different content,
+  also on port `443`
+* `nginx` or `apache` is used as the public access point (which means that
+  only nginx/apache will bind  to `443`)
+* After testing, the server in question should be able to score at least an A on the
+  Qualys SSL Labs [SSL Server Test](https://www.ssllabs.com/ssltest/)
+
+Let's start out with needed JupyterHub configuration in `jupyterhub_config.py`:
+
+```python
+# Force the proxy to only listen to connections to 127.0.0.1 (on port 8000)
+c.JupyterHub.bind_url = 'http://127.0.0.1:8000'
+```
+
+(For Jupyterhub < 0.9 use `c.JupyterHub.ip = '127.0.0.1'`.)
+
+For high-quality SSL configuration, we also generate Diffie-Helman parameters.
+This can take a few minutes:
+
+```bash
+openssl dhparam -out /etc/ssl/certs/dhparam.pem 4096
+```
+
+## nginx
+
+This **`nginx` config file** is fairly standard fare except for the two
+`location` blocks within the main section for HUB.DOMAIN.tld.
+To create a new site for jupyterhub in your nginx config, make a new file
+in `sites.enabled`, e.g. `/etc/nginx/sites.enabled/jupyterhub.conf`:
+
+```bash
+# top-level http config for websocket headers
+# If Upgrade is defined, Connection = upgrade
+# If Upgrade is empty, Connection = close
+map $http_upgrade $connection_upgrade {
+    default upgrade;
+    ''      close;
+}
+
+# HTTP server to redirect all 80 traffic to SSL/HTTPS
+server {
+    listen 80;
+    server_name HUB.DOMAIN.TLD;
+
+    # Tell all requests to port 80 to be 302 redirected to HTTPS
+    return 302 https://$host$request_uri;
+}
+
+# HTTPS server to handle JupyterHub
+server {
+    listen 443;
+    ssl on;
+
+    server_name HUB.DOMAIN.TLD;
+
+    ssl_certificate /etc/letsencrypt/live/HUB.DOMAIN.TLD/fullchain.pem;
+    ssl_certificate_key /etc/letsencrypt/live/HUB.DOMAIN.TLD/privkey.pem;
+
+    ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
+    ssl_prefer_server_ciphers on;
+    ssl_dhparam /etc/ssl/certs/dhparam.pem;
+    ssl_ciphers 'ECDHE-RSA-AES128-GCM-SHA256:ECDHE-ECDSA-AES128-GCM-SHA256:ECDHE-RSA-AES256-GCM-SHA384:ECDHE-ECDSA-AES256-GCM-SHA384:DHE-RSA-AES128-GCM-SHA256:DHE-DSS-AES128-GCM-SHA256:kEDH+AESGCM:ECDHE-RSA-AES128-SHA256:ECDHE-ECDSA-AES128-SHA256:ECDHE-RSA-AES128-SHA:ECDHE-ECDSA-AES128-SHA:ECDHE-RSA-AES256-SHA384:ECDHE-ECDSA-AES256-SHA384:ECDHE-RSA-AES256-SHA:ECDHE-ECDSA-AES256-SHA:DHE-RSA-AES128-SHA256:DHE-RSA-AES128-SHA:DHE-DSS-AES128-SHA256:DHE-RSA-AES256-SHA256:DHE-DSS-AES256-SHA:DHE-RSA-AES256-SHA:AES128-GCM-SHA256:AES256-GCM-SHA384:AES128-SHA256:AES256-SHA256:AES128-SHA:AES256-SHA:AES:CAMELLIA:DES-CBC3-SHA:!aNULL:!eNULL:!EXPORT:!DES:!RC4:!MD5:!PSK:!aECDH:!EDH-DSS-DES-CBC3-SHA:!EDH-RSA-DES-CBC3-SHA:!KRB5-DES-CBC3-SHA';
+    ssl_session_timeout 1d;
+    ssl_session_cache shared:SSL:50m;
+    ssl_stapling on;
+    ssl_stapling_verify on;
+    add_header Strict-Transport-Security max-age=15768000;
+
+    # Managing literal requests to the JupyterHub front end
+    location / {
+        proxy_pass http://127.0.0.1:8000;
+        proxy_set_header X-Real-IP $remote_addr;
+        proxy_set_header Host $host;
+        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+
+        # websocket headers
+        proxy_set_header Upgrade $http_upgrade;
+        proxy_set_header Connection $connection_upgrade;
+    }
+
+    # Managing requests to verify letsencrypt host
+    location ~ /.well-known {
+        allow all;
+    }
+}
+```
+
+If `nginx` is not running on port 443, substitute `$http_host` for `$host` on
+the lines setting the `Host` header.
+
+`nginx` will now be the front facing element of JupyterHub on `443` which means
+it is also free to bind other servers, like `NO_HUB.DOMAIN.TLD` to the same port
+on the same machine and network interface. In fact, one can simply use the same
+server blocks as above for `NO_HUB` and simply add line for the root directory
+of the site as well as the applicable location call:
+
+```bash
+server {
+    listen 80;
+    server_name NO_HUB.DOMAIN.TLD;
+
+    # Tell all requests to port 80 to be 302 redirected to HTTPS
+    return 302 https://$host$request_uri;
+}
+
+server {
+    listen 443;
+    ssl on;
+
+    # INSERT OTHER SSL PARAMETERS HERE AS ABOVE
+    # SSL cert may differ
+
+    # Set the appropriate root directory
+    root /var/www/html
+
+    # Set URI handling
+    location / {
+        try_files $uri $uri/ =404;
+    }
+
+    # Managing requests to verify letsencrypt host
+    location ~ /.well-known {
+        allow all;
+    }
+
+}
+```
+
+Now restart `nginx`, restart the JupyterHub, and enjoy accessing
+`https://HUB.DOMAIN.TLD` while serving other content securely on
+`https://NO_HUB.DOMAIN.TLD`.
+
+
+## Apache
+
+As with nginx above, you can use [Apache](https://httpd.apache.org) as the reverse proxy.
+First, we will need to enable the apache modules that we are going to need:
+
+```bash
+a2enmod ssl rewrite proxy proxy_http proxy_wstunnel
+```
+
+Our Apache configuration is equivalent to the nginx configuration above:
+
+- Redirect HTTP to HTTPS
+- Good SSL Configuration
+- Support for websockets on any proxied URL
+- JupyterHub is running locally at http://127.0.0.1:8000
+
+```bash
+# redirect HTTP to HTTPS
+Listen 80
+<VirtualHost HUB.DOMAIN.TLD:80>
+  ServerName HUB.DOMAIN.TLD
+  Redirect / https://HUB.DOMAIN.TLD/
+</VirtualHost>
+
+Listen 443
+<VirtualHost HUB.DOMAIN.TLD:443>
+
+  ServerName HUB.DOMAIN.TLD
+
+  # configure SSL
+  SSLEngine on
+  SSLCertificateFile /etc/letsencrypt/live/HUB.DOMAIN.TLD/fullchain.pem
+  SSLCertificateKeyFile /etc/letsencrypt/live/HUB.DOMAIN.TLD/privkey.pem
+  SSLProtocol All -SSLv2 -SSLv3
+  SSLOpenSSLConfCmd DHParameters /etc/ssl/certs/dhparam.pem
+  SSLCipherSuite EECDH+AESGCM:EDH+AESGCM:AES256+EECDH:AES256+EDH
+
+  # Use RewriteEngine to handle websocket connection upgrades
+  RewriteEngine On
+  RewriteCond %{HTTP:Connection} Upgrade [NC]
+  RewriteCond %{HTTP:Upgrade} websocket [NC]
+  RewriteRule /(.*) ws://127.0.0.1:8000/$1 [P,L]
+
+  <Location "/">
+    # preserve Host header to avoid cross-origin problems
+    ProxyPreserveHost on
+    # proxy to JupyterHub
+    ProxyPass         http://127.0.0.1:8000/
+    ProxyPassReverse  http://127.0.0.1:8000/
+  </Location>
+</VirtualHost>
+```
+
+ 
+In case of the need to run the jupyterhub under /jhub/ or other location please use the below configurations:
+- JupyterHub running locally at http://127.0.0.1:8000/jhub/ or other location
+
+httpd.conf amendments:
+```bash
+ RewriteRule /jhub/(.*) ws://127.0.0.1:8000/jhub/$1 [P,L]
+ RewriteRule /jhub/(.*) http://127.0.0.1:8000/jhub/$1 [P,L]
+ 
+ ProxyPass /jhub/ http://127.0.0.1:8000/jhub/
+ ProxyPassReverse /jhub/  http://127.0.0.1:8000/jhub/
+ ```
+ 
+jupyterhub_config.py amendments:
+ ```bash
+  --The public facing URL of the whole JupyterHub application.
+  --This is the address on which the proxy will bind. Sets protocol, ip, base_url
+  c.JupyterHub.bind_url = 'http://127.0.0.1:8000/jhub/'
+  ```

docs/source/reference/config-sudo.md

@@ -0,0 +1,254 @@
+# Run JupyterHub without root privileges using `sudo`
+
+**Note:** Setting up `sudo` permissions involves many pieces of system
+configuration. It is quite easy to get wrong and very difficult to debug.
+Only do this if you are very sure you must.
+
+## Overview
+
+There are many Authenticators and Spawners available for JupyterHub. Some, such
+as DockerSpawner or OAuthenticator, do not need any elevated permissions. This
+document describes how to get the full default behavior of JupyterHub while
+running notebook servers as real system users on a shared system without 
+running the Hub itself as root.
+
+Since JupyterHub needs to spawn processes as other users, the simplest way
+is to run it as root, spawning user servers with [setuid](http://linux.die.net/man/2/setuid).
+But this isn't especially safe, because you have a process running on the
+public web as root.
+
+A **more prudent way** to run the server while preserving functionality is to
+create a dedicated user with `sudo` access restricted to launching and
+monitoring single-user servers.
+
+## Create a user
+
+To do this, first create a user that will run the Hub:
+
+```bash
+sudo useradd rhea
+```
+
+This user shouldn't have a login shell or password (possible with -r).
+
+## Set up sudospawner
+
+Next, you will need [sudospawner](https://github.com/jupyter/sudospawner)
+to enable monitoring the single-user servers with sudo:
+
+```bash
+sudo python3 -m pip install sudospawner
+```
+
+Now we have to configure sudo to allow the Hub user (`rhea`) to launch
+the sudospawner script on behalf of our hub users (here `zoe` and `wash`).
+We want to confine these permissions to only what we really need.
+
+## Edit `/etc/sudoers`
+
+To do this we add to `/etc/sudoers` (use `visudo` for safe editing of sudoers):
+
+- specify the list of users `JUPYTER_USERS` for whom `rhea` can spawn servers
+- set the command `JUPYTER_CMD` that `rhea` can execute on behalf of users
+- give `rhea` permission to run `JUPYTER_CMD` on behalf of `JUPYTER_USERS` 
+  without entering a password
+
+
+For example:
+
+```bash
+# comma-separated whitelist of users that can spawn single-user servers
+# this should include all of your Hub users
+Runas_Alias JUPYTER_USERS = rhea, zoe, wash
+
+# the command(s) the Hub can run on behalf of the above users without needing a password
+# the exact path may differ, depending on how sudospawner was installed
+Cmnd_Alias JUPYTER_CMD = /usr/local/bin/sudospawner
+
+# actually give the Hub user permission to run the above command on behalf
+# of the above users without prompting for a password
+rhea ALL=(JUPYTER_USERS) NOPASSWD:JUPYTER_CMD
+```
+
+It might be useful to modify `secure_path` to add commands in path.
+
+As an alternative to adding every user to the `/etc/sudoers` file, you can
+use a group in the last line above, instead of `JUPYTER_USERS`:
+
+```bash
+rhea ALL=(%jupyterhub) NOPASSWD:JUPYTER_CMD
+```
+
+If the `jupyterhub` group exists, there will be no need to edit `/etc/sudoers`
+again. A new user will gain access to the application when added to the group:
+
+```bash
+$ adduser -G jupyterhub newuser
+```
+
+## Test `sudo` setup
+
+Test that the new user doesn't need to enter a password to run the sudospawner
+command.
+
+This should prompt for your password to switch to rhea, but *not* prompt for
+any password for the second switch. It should show some help output about
+logging options:
+
+```bash
+$ sudo -u rhea sudo -n -u $USER /usr/local/bin/sudospawner --help
+Usage: /usr/local/bin/sudospawner [OPTIONS]
+    
+Options:
+    
+--help          show this help information
+...
+```
+
+And this should fail:
+
+```bash
+$ sudo -u rhea sudo -n -u $USER echo 'fail'
+sudo: a password is required
+```
+
+## Enable PAM for non-root
+
+By default, [PAM authentication](http://en.wikipedia.org/wiki/Pluggable_authentication_module)
+is used by JupyterHub. To use PAM, the process may need to be able to read
+the shadow password database.
+
+### Shadow group (Linux)
+
+```bash
+$ ls -l /etc/shadow
+-rw-r-----  1 root shadow   2197 Jul 21 13:41 shadow
+```
+
+If there's already a shadow group, you are set. If its permissions are more like:
+
+```bash
+    $ ls -l /etc/shadow
+    -rw-------  1 root wheel   2197 Jul 21 13:41 shadow
+```
+
+Then you may want to add a shadow group, and make the shadow file group-readable:
+
+```bash
+$ sudo groupadd shadow
+$ sudo chgrp shadow /etc/shadow
+$ sudo chmod g+r /etc/shadow
+```
+
+We want our new user to be able to read the shadow passwords, so add it to the shadow group:
+
+```bash
+    $ sudo usermod -a -G shadow rhea
+```
+
+If you want jupyterhub to serve pages on a restricted port (such as port 80 for http), 
+then you will need to give `node` permission to do so:
+
+```bash
+sudo setcap 'cap_net_bind_service=+ep' /usr/bin/node
+```
+However, you may want to further understand the consequences of this.
+
+You may also be interested in limiting the amount of CPU any process can use
+on your server. `cpulimit` is a useful tool that is available for many Linux
+distributions' packaging system. This can be used to keep any user's process
+from using too much CPU cycles. You can configure it accoring to [these
+instructions](http://ubuntuforums.org/showthread.php?t=992706).
+
+
+### Shadow group (FreeBSD)
+
+**NOTE:** This has not been tested and may not work as expected.
+
+```bash
+$ ls -l /etc/spwd.db /etc/master.passwd
+-rw-------  1 root  wheel   2516 Aug 22 13:35 /etc/master.passwd
+-rw-------  1 root  wheel  40960 Aug 22 13:35 /etc/spwd.db
+```
+
+Add a shadow group if there isn't one, and make the shadow file group-readable:
+
+```bash
+$ sudo pw group add shadow
+$ sudo chgrp shadow /etc/spwd.db
+$ sudo chmod g+r /etc/spwd.db
+$ sudo chgrp shadow /etc/master.passwd
+$ sudo chmod g+r /etc/master.passwd
+```
+
+We want our new user to be able to read the shadow passwords, so add it to the 
+shadow group:
+
+```bash
+$ sudo pw user mod rhea -G shadow
+```
+
+## Test that PAM works
+
+We can verify that PAM is working, with:
+
+```bash
+$ sudo -u rhea python3 -c "import pamela, getpass; print(pamela.authenticate('$USER', getpass.getpass()))"
+Password: [enter your unix password]
+```
+
+## Make a directory for JupyterHub
+
+JupyterHub stores its state in a database, so it needs write access to a directory.
+The simplest way to deal with this is to make a directory owned by your Hub user,
+and use that as the CWD when launching the server.
+
+```bash
+$ sudo mkdir /etc/jupyterhub
+$ sudo chown rhea /etc/jupyterhub
+```
+
+## Start jupyterhub
+
+Finally, start the server as our newly configured user, `rhea`:
+
+```bash
+$ cd /etc/jupyterhub
+$ sudo -u rhea jupyterhub --JupyterHub.spawner_class=sudospawner.SudoSpawner
+```                                                                             
+
+And try logging in.
+
+## Troubleshooting: SELinux
+
+If you still get a generic `Permission denied` `PermissionError`, it's possible SELinux is blocking you.  
+Here's how you can make a module to allow this.
+First, put this in a file  named `sudo_exec_selinux.te`:
+
+```bash
+module sudo_exec_selinux 1.1;
+
+require {
+        type unconfined_t;
+        type sudo_exec_t;
+        class file { read entrypoint };
+}
+
+#============= unconfined_t ==============
+allow unconfined_t sudo_exec_t:file entrypoint;
+```
+
+Then run all of these commands as root:
+
+```bash
+$ checkmodule -M -m -o sudo_exec_selinux.mod sudo_exec_selinux.te
+$ semodule_package -o sudo_exec_selinux.pp -m sudo_exec_selinux.mod
+$ semodule -i sudo_exec_selinux.pp
+```
+
+## Troubleshooting: PAM session errors
+
+If the PAM authentication doesn't work and you see errors for
+`login:session-auth`, or similar, considering updating to a more recent version
+of jupyterhub and disabling the opening of PAM sessions with
+`c.PAMAuthenticator.open_sessions=False`.

docs/source/reference/config-user-env.md

@@ -0,0 +1,181 @@
+# Configuring user environments
+
+Deploying JupyterHub means you are providing Jupyter notebook environments for
+multiple users. Often, this includes a desire to configure the user
+environment in some way.
+
+Since the `jupyterhub-singleuser` server extends the standard Jupyter notebook
+server, most configuration and documentation that applies to Jupyter Notebook
+applies to the single-user environments. Configuration of user environments
+typically does not occur through JupyterHub itself, but rather through system-
+wide configuration of Jupyter, which is inherited by `jupyterhub-singleuser`.
+
+**Tip:** When searching for configuration tips for JupyterHub user
+environments, try removing JupyterHub from your search because there are a lot
+more people out there configuring Jupyter than JupyterHub and the
+configuration is the same.
+
+This section will focus on user environments, including:
+
+- Installing packages
+- Configuring Jupyter and IPython
+- Installing kernelspecs
+- Using containers vs. multi-user hosts
+
+
+## Installing packages
+
+To make packages available to users, you generally will install packages
+system-wide or in a shared environment.
+
+This installation location should always be in the same environment that
+`jupyterhub-singleuser` itself is installed in, and must be *readable and
+executable* by your users. If you want users to be able to install additional
+packages, it must also be *writable* by your users.
+
+If you are using a standard system Python install, you would use:
+
+
+```bash
+sudo python3 -m pip install numpy
+```
+
+to install the numpy package in the default system Python 3 environment
+(typically `/usr/local`).
+
+You may also use conda to install packages. If you do, you should make sure
+that the conda environment has appropriate permissions for users to be able to
+run Python code in the env.
+
+
+## Configuring Jupyter and IPython
+
+[Jupyter](https://jupyter-notebook.readthedocs.io/en/stable/config_overview.html)
+and [IPython](https://ipython.readthedocs.io/en/stable/development/config.html)
+have their own configuration systems.
+
+As a JupyterHub administrator, you will typically want to install and configure
+environments for all JupyterHub users. For example, you wish for each student in
+a class to have the same user environment configuration.
+
+Jupyter and IPython support **"system-wide"** locations for configuration, which
+is the logical place to put global configuration that you want to affect all
+users. It's generally more efficient to configure user environments "system-wide",
+and it's a good idea to avoid creating files in users' home directories.
+
+The typical locations for these config files are:
+- **system-wide** in `/etc/{jupyter|ipython}`
+- **env-wide** (environment wide) in `{sys.prefix}/etc/{jupyter|ipython}`.
+
+### Example: Enable an extension system-wide
+
+For example, to enable the `cython` IPython extension for all of your users,
+create the file `/etc/ipython/ipython_config.py`:
+
+```python
+c.InteractiveShellApp.extensions.append("cython")
+```
+
+### Example: Enable a Jupyter notebook configuration setting for all users
+
+To enable Jupyter notebook's internal idle-shutdown behavior (requires
+notebook ≥ 5.4), set the following in the `/etc/jupyter/jupyter_notebook_config.py`
+file:
+
+```python
+# shutdown the server after no activity for an hour
+c.NotebookApp.shutdown_no_activity_timeout = 60 * 60
+# shutdown kernels after no activity for 20 minutes
+c.MappingKernelManager.cull_idle_timeout = 20 * 60
+# check for idle kernels every two minutes
+c.MappingKernelManager.cull_interval = 2 * 60
+```
+
+
+## Installing kernelspecs
+
+You may have multiple Jupyter kernels installed and want to make sure that
+they are available to all of your users. This means installing kernelspecs
+either system-wide (e.g. in /usr/local/) or in the `sys.prefix` of JupyterHub
+itself.
+
+Jupyter kernelspec installation is system wide by default, but some kernels
+may default to installing kernelspecs in your home directory. These will need
+to be moved system-wide to ensure that they are accessible.
+
+You can see where your kernelspecs are with:
+
+```bash
+jupyter kernelspec list
+```
+
+### Example: Installing kernels system-wide
+
+Assuming I have a Python 2 and Python 3 environment that I want to make
+sure are available, I can install their specs system-wide (in /usr/local) with:
+
+```bash
+/path/to/python3 -m IPython kernel install --prefix=/usr/local
+/path/to/python2 -m IPython kernel install --prefix=/usr/local
+```
+
+
+## Multi-user hosts vs. Containers
+
+There are two broad categories of user environments that depend on what
+Spawner you choose:
+
+- Multi-user hosts (shared system)
+- Container-based
+
+How you configure user environments for each category can differ a bit
+depending on what Spawner you are using.
+
+The first category is a **shared system (multi-user host)** where
+each user has a JupyterHub account and a home directory as well as being
+a real system user. In this example, shared configuration and installation
+must be in a 'system-wide' location, such as `/etc/` or `/usr/local`
+or a custom prefix such as `/opt/conda`.
+
+When JupyterHub uses **container-based** Spawners (e.g. KubeSpawner or
+DockerSpawner), the 'system-wide' environment is really the container image
+which you are using for users.
+
+In both cases, you want to *avoid putting configuration in user home
+directories* because users can change those configuration settings. Also,
+home directories typically persist once they are created, so they are
+difficult for admins to update later.
+
+## Named servers
+
+By default, in a JupyterHub deployment each user has exactly one server.
+
+JupyterHub can, however, have multiple servers per user.
+This is most useful in deployments where users can configure the environment
+in which their server will start (e.g. resource requests on an HPC cluster),
+so that a given user can have multiple configurations running at the same time,
+without having to stop and restart their one server.
+
+To allow named servers:
+
+```python
+c.JupyterHub.allow_named_servers = True
+```
+
+Named servers were implemented in the REST API in JupyterHub 0.8,
+and JupyterHub 1.0 introduces UI for managing named servers via the user home page:
+
+![named servers on the home page](../images/named-servers-home.png)
+
+as well as the admin page:
+
+![named servers on the admin page](../images/named-servers-admin.png)
+
+Named servers can be accessed, created, started, stopped, and deleted
+from these pages. Activity tracking is now per-server as well.
+
+The number of named servers per user can be limited by setting
+
+```python
+c.JupyterHub.named_server_limit_per_user = 5
+```

docs/source/reference/database.md

@@ -0,0 +1,62 @@
+# The Hub's Database
+
+JupyterHub uses a database to store information about users, services, and other
+data needed for operating the Hub.
+
+## Default SQLite database
+
+The default database for JupyterHub is a [SQLite](https://sqlite.org) database.
+We have chosen SQLite as JupyterHub's default for its lightweight simplicity
+in certain uses such as testing, small deployments and workshops.
+
+For production systems, SQLite has some disadvantages when used with JupyterHub:
+
+- `upgrade-db` may not work, and you may need to start with a fresh database
+- `downgrade-db` **will not** work if you want to rollback to an earlier
+  version, so backup the `jupyterhub.sqlite` file before upgrading
+
+The sqlite documentation provides a helpful page about [when to use SQLite and
+where traditional RDBMS may be a better choice](https://sqlite.org/whentouse.html).
+
+## Using an RDBMS (PostgreSQL, MySQL)
+
+When running a long term deployment or a production system, we recommend using
+a traditional RDBMS database, such as [PostgreSQL](https://www.postgresql.org)
+or [MySQL](https://www.mysql.com), that supports the SQL `ALTER TABLE`
+statement.
+
+## Notes and Tips
+
+### SQLite
+
+The SQLite database should not be used on NFS. SQLite uses reader/writer locks
+to control access to the database. This locking mechanism might not work
+correctly if the database file is kept on an NFS filesystem. This is because
+`fcntl()` file locking is broken on many NFS implementations. Therefore, you
+should avoid putting SQLite database files on NFS since it will not handle well
+multiple processes which might try to access the file at the same time.
+
+### PostgreSQL
+
+We recommend using PostgreSQL for production if you are unsure whether to use
+MySQL or PostgreSQL or if you do not have a strong preference. There is
+additional configuration required for MySQL that is not needed for PostgreSQL.
+
+### MySQL / MariaDB
+
+- You should use the `pymysql` sqlalchemy provider (the other one, MySQLdb,
+  isn't available for py3).
+- You also need to set `pool_recycle` to some value (typically 60 - 300) 
+  which depends on your  MySQL setup. This is necessary since MySQL kills
+  connections serverside if they've been idle for a while, and the connection
+  from the hub will be idle for longer than most connections. This behavior
+  will lead to frustrating 'the connection has gone away' errors from
+  sqlalchemy if `pool_recycle` is not set.
+- If you use `utf8mb4` collation with MySQL earlier than 5.7.7 or MariaDB
+  earlier than 10.2.1 you may get an `1709, Index column size too large` error.
+  To fix this you need to set `innodb_large_prefix` to enabled and
+  `innodb_file_format` to `Barracuda` to allow for the index sizes jupyterhub
+  uses. `row_format` will be set to `DYNAMIC` as long as those options are set
+  correctly. Later versions of MariaDB and MySQL should set these values by
+  default, as well as have a default `DYNAMIC` `row_format` and pose no trouble
+  to users.

docs/source/reference/index.rst

@@ -0,0 +1,26 @@
+Technical Reference
+===================
+
+This section covers more of the details of the JupyterHub architecture, as well as
+what happens under-the-hood when you deploy and configure your JupyterHub.
+
+.. toctree::
+   :maxdepth: 2
+
+   technical-overview
+   urls
+   websecurity
+   authenticators
+   spawners
+   services
+   proxy
+   separate-proxy
+   rest
+   database
+   templates
+   ../events/index
+   config-user-env
+   config-examples
+   config-ghoauth
+   config-proxy
+   config-sudo

docs/source/reference/proxy.md

@@ -0,0 +1,222 @@
+# Writing a custom Proxy implementation
+
+JupyterHub 0.8 introduced the ability to write a custom implementation of the
+proxy. This enables deployments with different needs than the default proxy,
+configurable-http-proxy (CHP). CHP is a single-process nodejs proxy that the
+Hub manages by default as a subprocess (it can be run externally, as well, and
+typically is in production deployments).
+
+The upside to CHP, and why we use it by default, is that it's easy to install
+and run (if you have nodejs, you are set!). The downsides are that it's a
+single process and does not support any persistence of the routing table. So
+if the proxy process dies, your whole JupyterHub instance is inaccessible
+until the Hub notices, restarts the proxy, and restores the routing table. For
+deployments that want to avoid such a single point of failure, or leverage
+existing proxy infrastructure in their chosen deployment (such as Kubernetes
+ingress objects), the Proxy API provides a way to do that.
+
+In general, for a proxy to be usable by JupyterHub, it must:
+
+1. support websockets without prior knowledge of the URL where websockets may
+   occur
+2. support trie-based routing (i.e. allow different routes on `/foo` and
+   `/foo/bar` and route based on specificity)
+3. adding or removing a route should not cause existing connections to drop
+
+Optionally, if the JupyterHub deployment is to use host-based routing,
+the Proxy must additionally support routing based on the Host of the request.
+
+## Subclassing Proxy
+
+To start, any Proxy implementation should subclass the base Proxy class,
+as is done with custom Spawners and Authenticators.
+
+```python
+from jupyterhub.proxy import Proxy
+
+class MyProxy(Proxy):
+    """My Proxy implementation"""
+    ...
+```
+
+## Starting and stopping the proxy
+
+If your proxy should be launched when the Hub starts, you must define how
+to start and stop your proxy:
+
+```python
+class MyProxy(Proxy):
+    ...
+    async def start(self):
+        """Start the proxy"""
+
+    async def stop(self):
+        """Stop the proxy"""
+```
+
+These methods **may** be  coroutines.
+
+`c.Proxy.should_start` is a configurable flag that determines whether the
+Hub should call these methods when the Hub itself starts and stops.
+
+## Encryption
+
+When using `internal_ssl` to encrypt traffic behind the proxy, at minimum,
+your `Proxy` will need client ssl certificates which the `Hub` must be made
+aware of. These can be generated with the command `jupyterhub --generate-certs`
+which will write them to the `internal_certs_location` in folders named
+`proxy_api` and `proxy_client`. Alternatively, these can be provided to the
+hub via the `jupyterhub_config.py` file by providing a `dict` of named paths
+to the `external_authorities` option. The hub will include all certificates
+provided in that `dict` in the trust bundle utilized by all internal
+components.
+
+### Purely external proxies
+
+Probably most custom proxies will be externally managed,
+such as Kubernetes ingress-based implementations.
+In this case, you do not need to define `start` and `stop`.
+To disable the methods, you can define `should_start = False` at the class level:
+
+```python
+class MyProxy(Proxy):
+    should_start = False
+```
+
+## Routes
+
+At its most basic, a Proxy implementation defines a mechanism to add, remove,
+and retrieve routes. A proxy that implements these three methods is complete.
+Each of these methods **may** be a coroutine.
+
+**Definition:** routespec
+
+A routespec, which will appear in these methods, is a string describing a
+route to be proxied, such as `/user/name/`. A routespec will:
+
+1. always end with `/`
+2. always start with `/` if it is a path-based route `/proxy/path/`
+3. precede the leading `/` with a host for host-based routing, e.g.
+   `host.tld/proxy/path/`
+
+### Adding a route
+
+When adding a route, JupyterHub may pass a JSON-serializable dict as a `data`
+argument that should be attached to the proxy route. When that route is
+retrieved, the `data` argument should be returned as well. If your  proxy
+implementation doesn't support storing data attached to routes, then your
+Python wrapper may have to handle storing the `data` piece itself, e.g in a
+simple file or database.
+
+```python
+async def add_route(self, routespec, target, data):
+    """Proxy `routespec` to `target`.
+
+    Store `data` associated with the routespec
+    for retrieval later.
+    """
+```
+
+Adding a route for a user looks like this:
+
+```python
+await proxy.add_route('/user/pgeorgiou/', 'http://127.0.0.1:1227',
+                {'user': 'pgeorgiou'})
+```
+
+### Removing routes
+
+`delete_route()` is given a routespec to delete. If there is no such route,
+`delete_route` should still succeed, but a warning may be issued.
+
+```python
+async def delete_route(self, routespec):
+    """Delete the route"""
+```
+
+### Retrieving routes
+
+For retrieval, you only *need* to implement a single method that retrieves all
+routes. The return value for this function should be a dictionary, keyed by
+`routespect`, of dicts whose keys are the same three arguments passed to
+`add_route` (`routespec`, `target`, `data`)
+
+```python
+async def get_all_routes(self):
+    """Return all routes, keyed by routespec"""
+```
+
+```python
+{
+  '/proxy/path/': {
+    'routespec': '/proxy/path/',
+    'target': 'http://...',
+    'data': {},
+  },
+}
+```
+
+## Note on activity tracking
+
+JupyterHub can track activity of users, for use in services such as culling
+idle servers. As of JupyterHub 0.8, this activity tracking is the
+responsibility of the proxy. If your proxy implementation can track activity
+to endpoints, it may add a `last_activity` key to the `data` of routes
+retrieved in `.get_all_routes()`. If present, the value of `last_activity`
+should be an [ISO8601](https://en.wikipedia.org/wiki/ISO_8601) UTC date
+string:
+
+```python
+{
+  '/user/pgeorgiou/': {
+    'routespec': '/user/pgeorgiou/',
+    'target': 'http://127.0.0.1:1227',
+    'data': {
+      'user': 'pgeourgiou',
+      'last_activity': '2017-10-03T10:33:49.570Z',
+    },
+  },
+}
+```
+
+If the proxy does not track activity, then only activity to the Hub itself is
+tracked, and services such as cull-idle will not work.
+
+Now that `notebook-5.0` tracks activity internally, we can retrieve activity
+information from the single-user servers instead, removing the need to track
+activity in the proxy. But this is not yet implemented in JupyterHub 0.8.0.
+
+### Registering custom Proxies via entry points
+
+As of JupyterHub 1.0, custom proxy implementations can register themselves via
+the `jupyterhub.proxies` entry point metadata.
+To do this, in your `setup.py` add:
+
+```python
+setup(
+  ...
+  entry_points={
+    'jupyterhub.proxies': [
+        'mything = mypackage:MyProxy',
+    ],
+  },
+)
+```
+
+If you have added this metadata to your package,
+users can select your proxy with the configuration:
+
+```python
+c.JupyterHub.proxy_class = 'mything'
+```
+
+instead of the full
+
+```python
+c.JupyterHub.proxy_class = 'mypackage:MyProxy'
+```
+
+previously required.
+Additionally, configurable attributes for your proxy will
+appear in jupyterhub help output and auto-generated configuration files
+via `jupyterhub --generate-config`.

docs/source/reference/rest-api.rst

@@ -0,0 +1,14 @@
+:orphan:
+
+===================
+JupyterHub REST API
+===================
+
+.. this doc exists as a resolvable link target
+.. which _static files are not
+
+.. meta::
+    :http-equiv=refresh: 0;url=../_static/rest-api/index.html
+
+The rest API docs are `here <../_static/rest-api/index.html>`_
+if you are not redirected automatically.