feat(deploy): container healthchecks + Swarm rolling-update auto-rollback
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web gets a /api/health liveness check; workers a lenient celery-ping check. A
shared deploy policy (update_config order=start-first, failure_action=rollback,
monitor 90s; rollback_config; restart_policy) means a bad image that never goes
healthy is rolled back automatically instead of taking the service down. Ignored
by plain `docker compose up` (deploy: is swarm-only), so the dev override is
unaffected. Assumes prod deploys from this file via docker stack deploy.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-07-07 22:15:33 -04:00
parent 0b78264d62
commit 40cc11be5b
+47
View File
@@ -8,6 +8,35 @@
# run `docker compose up` from this directory and switches images to
# local builds + DEBUG logging.
# Rolling-deploy safety (Swarm / `docker stack deploy`): update one task at a
# time, START the new task before stopping the old (zero-downtime via the ingress
# mesh), and if the new task doesn't reach a healthy state within `monitor`, roll
# back to the previous image automatically. `monitor` is sized above web's
# healthcheck start_period so a broken image that never goes healthy is caught.
# Plain `docker compose up` ignores `deploy:` (it warns + skips), so the dev
# override is unaffected. Referenced by each long-lived service below.
x-deploy-policy: &deploy_policy
update_config:
order: start-first
failure_action: rollback
monitor: 90s
rollback_config:
order: start-first
restart_policy:
condition: any
delay: 10s
# Worker liveness: ping THIS container's celery node over the broker. Lenient
# (60s interval, 3 retries, 60s start_period) so a transient broker blip never
# false-flags a worker into a rollback. `$$HOSTNAME` → `$HOSTNAME` for the shell;
# celery's default node name is celery@<hostname> (the container id).
x-celery-healthcheck: &celery_healthcheck
test: ["CMD-SHELL", "celery -A backend.app.celery_app:celery inspect ping -d celery@$$HOSTNAME --timeout 10 >/dev/null 2>&1"]
interval: 60s
timeout: 15s
retries: 3
start_period: 60s
services:
redis:
image: redis:7-alpine
@@ -55,6 +84,16 @@ services:
# by the 5-min recovery sweeps, so a kill never corrupts. web = short HTTP
# requests + the occasional file download.
stop_grace_period: 30s
# Liveness for rolling deploys: /api/health is a no-DB 200 (just proves the
# app booted + serves HTTP after `alembic upgrade head`). start_period covers
# the migration + boot so a slow start isn't mis-flagged.
healthcheck:
test: ["CMD-SHELL", "python -c \"import urllib.request,sys; sys.exit(0 if urllib.request.urlopen('http://localhost:8080/api/health', timeout=5).status==200 else 1)\""]
interval: 15s
timeout: 6s
retries: 3
start_period: 40s
deploy: *deploy_policy
ports:
- "${PORT:-8080}:8080"
environment: &app_env
@@ -87,6 +126,8 @@ services:
command: ["worker"]
# Drain in-flight import/thumbnail/download tasks before SIGKILL on deploy.
stop_grace_period: 90s
healthcheck: *celery_healthcheck
deploy: *deploy_policy
environment:
<<: *app_env
CELERY_QUEUES: default,import,thumbnail,download
@@ -105,6 +146,8 @@ services:
command: ["scheduler"]
# Quick maintenance/scan lane + beat — short tasks, modest drain window.
stop_grace_period: 60s
healthcheck: *celery_healthcheck
deploy: *deploy_policy
environment:
<<: *app_env
CELERY_QUEUES: maintenance,scan
@@ -126,6 +169,8 @@ services:
# the most room to finish a chunk gracefully. Chunked + idempotent, so a job
# that still outruns this resumes cleanly next run rather than corrupting.
stop_grace_period: 180s
healthcheck: *celery_healthcheck
deploy: *deploy_policy
environment:
<<: *app_env
CELERY_QUEUES: maintenance_long
@@ -143,6 +188,8 @@ services:
command: ["ml-worker"]
# A single GPU inference pass can run tens of seconds — let it finish.
stop_grace_period: 120s
healthcheck: *celery_healthcheck
deploy: *deploy_policy
environment:
<<: *app_env
volumes: