✨(backend) add opt-in prometheus metrics on /metrics

We want to export metrics to prometheus. We install for this
django-prometheus. By default the feature is disabled and must be
explicitly enabled. A complete documentation is available in
documentation/metrics.md
This commit is contained in:
Manuel Raynaud
2026-09-21 14:48:42 +02:00
parent 5acd4c2902
commit 6c9a319a83
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| OIDC_USERINFO_SHORTNAME_FIELD | OIDC token claims to create shortname | first_name |
| OIDC_USE_NONCE | Use nonce for OIDC | true |
| POSTHOG_KEY | Posthog key for analytics | |
| PROMETHEUS_API_KEY | Bearer token required on `/metrics`. Required when the metrics are enabled (the application refuses to start without it). Can be given as a file with PROMETHEUS_API_KEY_FILE | |
| PROMETHEUS_DB_METRICS_ENABLED | When the metrics are enabled, also count and time the SQL queries (swaps the postgresql engine for the instrumented one of django-prometheus) | True |
| PROMETHEUS_METRICS_ENABLED | Instrument the application with django-prometheus and serve `/metrics`. OFF by default. See documentation/metrics.md | False |
| PROMETHEUS_MULTIPROC_DIR | Directory the uvicorn workers share their metrics through. Local to the host or pod, owned by the user running the application | `<tmp>/impress-prometheus-<uid>` |
| POSTHOG_HOST | Posthog host for analytics | |
| REDIS_URL | Cache url | redis://redis:6379/1 |
| SEARCH_INDEXER_BATCH_SIZE | Size of each batch for indexation of all documents | 100000 |
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# Prometheus metrics of the backend
The backend ships an **opt-in** instrumentation,
[django-prometheus](https://github.com/django-commons/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
```bash
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:
```yaml
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`, ...).
With `DB_PSYCOPG_POOL_ENABLED`, `django_db_new_connections_total` counts 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](#several-replicas-behind-one-address).
## 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)
```yaml
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`.
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"`.