Same we did before with django-prometheus, we want metrics for yhub, the is no integration available like django-prometheus so everything is craft in the repository. The documentation is also available in documentation/metrics.md
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Prometheus metrics
This page is about the backend. The collaboration server (yhub) has metrics of
its own, served the same way — a bearer token, outside of what the ingress of
the application publishes — and documented in the "Metrics" section of
src/yhub-server/README.md. The Helm section below
covers both.
Backend
The backend ships an opt-in instrumentation,
django-prometheus. It is
disabled by default: when PROMETHEUS_METRICS_ENABLED is unset,
django_prometheus is not in INSTALLED_APPS, its middlewares are not
installed, the database engine is left alone and /metrics is not routed.
Enabling it
PROMETHEUS_METRICS_ENABLED=True
PROMETHEUS_API_KEY=<a long random secret> # or PROMETHEUS_API_KEY_FILE
The application refuses to start with the metrics enabled and no key: the endpoint would otherwise answer to anybody.
Then scrape GET /metrics with the key as a bearer token:
scrape_configs:
- job_name: docs-backend
scheme: https
metrics_path: /metrics
authorization:
type: Bearer
credentials_file: /etc/prometheus/docs-api-key
static_configs:
- targets: ["metrics.docs.example.com"]
What is measured
- HTTP requests: counts and latency histograms, labelled by view name,
method and status
(
django_http_requests_latency_seconds_by_view_method,django_http_responses_total_by_status_view_method_total, ...). - SQL (unless
PROMETHEUS_DB_METRICS_ENABLED=False): queries, errors and query duration (django_db_execute_total,django_db_query_duration_seconds, ...). WithDB_PSYCOPG_POOL_ENABLED,django_db_new_connections_totalcounts the connections taken from the pool, not the connections opened to Postgres.
No label ever carries a path, a user or a document identifier. A request that
matches no route is counted under <unnamed view>.
Every sample carries a hostname label (the pod name in Kubernetes), see
Several replicas.
How the endpoint is protected
| Layer | What it guarantees |
|---|---|
| Off by default | Nothing is installed, and /metrics is a 404, unless the deployment asks for it |
Served on /metrics, not under /api/ |
The ingress of the application publishes /api and /external_api only: the metrics are not reachable from outside until a route is added on purpose |
| Bearer token | core.middleware.PrometheusAuthMiddleware refuses anything but Authorization: Bearer <PROMETHEUS_API_KEY>, compared in constant time. It fails closed: no key, no answer |
| First middleware | A refused call stops there: no session is created, no database or cache access is made |
| Dedicated ingress (chart) | One exact path on a host of its own, where the callers are filtered by address |
| Labels | No path, user or document identifier leaves the application |
The key is a long-lived shared secret, which is what a Prometheus scraper can
present. Treat it as such: give it through PROMETHEUS_API_KEY_FILE or a
Kubernetes secret, keep TLS on wherever it travels, and rotate it by changing
the value on both sides.
uvicorn workers
uvicorn runs several worker processes (WEB_CONCURRENCY) and a scrape is
answered by one of them. The workers therefore all write their numbers to one
directory (prometheus_client's multiprocess mode), and whichever answers adds
them up. Nothing has to be configured: the directory defaults to
<tmp>/impress-prometheus-<uid>, is created with mode 0700, and the
application refuses a directory owned by another user or a symbolic link. Set
PROMETHEUS_MULTIPROC_DIR to put it elsewhere — it must be writable, and local
to the host or the pod: it is not shared between replicas.
Known limit: uvicorn recycles its workers (--limit-max-requests) and has no
hook to tell when one is gone. Every new worker writes two new 64 KiB files,
and the files of the workers that are gone must stay — their counters are part
of the totals. The directory grows, and the scrape gets slower, until the
container is replaced. Watch scrape_duration_seconds on long runs. Outside of
a container, empty the directory when the application is stopped.
Several replicas behind one address
A scrape that goes through a load balancer — the dedicated ingress in front of
several backend pods — is answered by a different replica each time. The
hostname label keeps the replicas apart: each has its own series, and its
counters never go backwards. Each series is only sampled when its replica
happens to answer, so with N replicas expect one sample every N scrapes on
average: use a short scrape interval and rate windows of several minutes, and
aggregate with sum without (hostname) (rate(...[5m])).
This degrades as the number of replicas grows. A Prometheus running inside the
cluster should scrape each pod directly instead (a PodMonitor or pod
discovery on the http port, same path, same bearer token).
Kubernetes (Helm chart)
backend:
envVars:
PROMETHEUS_METRICS_ENABLED: "True"
PROMETHEUS_API_KEY:
secretKeyRef:
name: backend
key: PROMETHEUS_API_KEY
DJANGO_ALLOWED_HOSTS: docs.example.com,metrics.docs.example.com
ingressMetrics:
enabled: true
host: metrics.docs.example.com
annotations:
nginx.ingress.kubernetes.io/whitelist-source-range: "203.0.113.10/32"
ingressMetrics routes the exact path /metrics of that host to the backend
and nothing else. Its host has to be in DJANGO_ALLOWED_HOSTS.
With yhub, the same ingress also publishes the server and the worker, each on an exact path of its own:
yhub:
envVars:
PROMETHEUS_API_KEY: # the worker inherits it
secretKeyRef:
name: yhub
key: PROMETHEUS_API_KEY
metrics:
enabled: true # /metrics/yhub and /metrics/yhub-worker
| Path | Served by |
|---|---|
/metrics |
backend |
/metrics/yhub |
yhub server (websockets, authorizations, backend calls) |
/metrics/yhub-worker |
yhub worker (compactions), when yhub.worker.enabled |
That is three scrape jobs on one host, differing by metrics_path. What is said
above about several replicas applies to
each of them: yhub labels its samples with hostname too.
The celery worker receives backend.envVars too. It serves no request, so its
metrics are never read: turn them off there with
backend.celery.envVars.PROMETHEUS_METRICS_ENABLED: "False".