Files
jupyterhub/jupyterhub/metrics.py
2020-01-17 12:32:50 -05:00

194 lines
5.2 KiB
Python

"""
Prometheus metrics exported by JupyterHub
Read https://prometheus.io/docs/practices/naming/ for naming
conventions for metrics & labels. We generally prefer naming them
`<noun>_<verb>_<type_suffix>`. So a histogram that's tracking
the duration (in seconds) of servers spawning would be called
SERVER_SPAWN_DURATION_SECONDS.
We also create an Enum for each 'status' type label in every metric
we collect. This is to make sure that the metrics exist regardless
of the condition happening or not. For example, if we don't explicitly
create them, the metric spawn_duration_seconds{status="failure"}
will not actually exist until the first failure. This makes dashboarding
and alerting difficult, so we explicitly list statuses and create
them manually here.
"""
from enum import Enum
from prometheus_client import Gauge
from prometheus_client import Histogram
REQUEST_DURATION_SECONDS = Histogram(
'request_duration_seconds',
'request duration for all HTTP requests',
['method', 'handler', 'code'],
)
SERVER_SPAWN_DURATION_SECONDS = Histogram(
'server_spawn_duration_seconds',
'time taken for server spawning operation',
['status'],
# Use custom bucket sizes, since the default bucket ranges
# are meant for quick running processes. Spawns can take a while!
buckets=[0.5, 1, 2.5, 5, 10, 15, 30, 60, 120, float("inf")],
)
RUNNING_SERVERS = Gauge(
'running_servers', 'the number of user servers currently running'
)
TOTAL_USERS = Gauge('total_users', 'total number of users')
CHECK_ROUTES_DURATION_SECONDS = Histogram(
'check_routes_duration_seconds', 'Time taken to validate all routes in proxy'
)
HUB_STARTUP_DURATION_SECONDS = Histogram(
'hub_startup_duration_seconds', 'Time taken for Hub to start'
)
INIT_SPAWNERS_DURATION_SECONDS = Histogram(
'init_spawners_duration_seconds', 'Time taken for spawners to initialize'
)
PROXY_POLL_DURATION_SECONDS = Histogram(
'proxy_poll_duration_seconds', 'duration for polling all routes from proxy'
)
class ServerSpawnStatus(Enum):
"""
Possible values for 'status' label of SERVER_SPAWN_DURATION_SECONDS
"""
success = 'success'
failure = 'failure'
already_pending = 'already-pending'
throttled = 'throttled'
too_many_users = 'too-many-users'
def __str__(self):
return self.value
for s in ServerSpawnStatus:
# Create empty metrics with the given status
SERVER_SPAWN_DURATION_SECONDS.labels(status=s)
PROXY_ADD_DURATION_SECONDS = Histogram(
'proxy_add_duration_seconds', 'duration for adding user routes to proxy', ['status']
)
class ProxyAddStatus(Enum):
"""
Possible values for 'status' label of PROXY_ADD_DURATION_SECONDS
"""
success = 'success'
failure = 'failure'
def __str__(self):
return self.value
for s in ProxyAddStatus:
PROXY_ADD_DURATION_SECONDS.labels(status=s)
SERVER_POLL_DURATION_SECONDS = Histogram(
'server_poll_duration_seconds',
'time taken to poll if server is running',
['status'],
)
class ServerPollStatus(Enum):
"""
Possible values for 'status' label of SERVER_POLL_DURATION_SECONDS
"""
running = 'running'
stopped = 'stopped'
@classmethod
def from_status(cls, status):
"""Return enum string for a given poll status"""
if status is None:
return cls.running
return cls.stopped
for s in ServerPollStatus:
SERVER_POLL_DURATION_SECONDS.labels(status=s)
SERVER_STOP_DURATION_SECONDS = Histogram(
'server_stop_seconds', 'time taken for server stopping operation', ['status']
)
class ServerStopStatus(Enum):
"""
Possible values for 'status' label of SERVER_STOP_DURATION_SECONDS
"""
success = 'success'
failure = 'failure'
def __str__(self):
return self.value
for s in ServerStopStatus:
SERVER_STOP_DURATION_SECONDS.labels(status=s)
PROXY_DELETE_DURATION_SECONDS = Histogram(
'proxy_delete_duration_seconds',
'duration for deleting user routes from proxy',
['status'],
)
class ProxyDeleteStatus(Enum):
"""
Possible values for 'status' label of PROXY_DELETE_DURATION_SECONDS
"""
success = 'success'
failure = 'failure'
def __str__(self):
return self.value
for s in ProxyDeleteStatus:
PROXY_DELETE_DURATION_SECONDS.labels(status=s)
def prometheus_log_method(handler):
"""
Tornado log handler for recording RED metrics.
We record the following metrics:
Rate: the number of requests, per second, your services are serving.
Errors: the number of failed requests per second.
Duration: the amount of time each request takes expressed as a time interval.
We use a fully qualified name of the handler as a label,
rather than every url path to reduce cardinality.
This function should be either the value of or called from a function
that is the 'log_function' tornado setting. This makes it get called
at the end of every request, allowing us to record the metrics we need.
"""
REQUEST_DURATION_SECONDS.labels(
method=handler.request.method,
handler='{}.{}'.format(handler.__class__.__module__, type(handler).__name__),
code=handler.get_status(),
).observe(handler.request.request_time())