The game-day driver had no notion of inventory — it would happily
execute the 5 destructive scenarios (Postgres kill, HAProxy stop,
Redis kill, MinIO node loss, RabbitMQ stop) against whatever the
underlying scripts pointed at, with the operator's only protection
being "don't typo a host." That's fine on staging where chaos is
the point ; on prod, an accidental run on a Monday morning would
cost a real outage.
Added :
scripts/security/game-day-driver.sh
* INVENTORY env var — defaults to 'staging' so silence stays
safe. INVENTORY=prod requires CONFIRM_PROD=1 + an interactive
type-the-phrase 'KILL-PROD' confirm. Anything other than
staging|prod aborts.
* Backup-freshness pre-flight on prod : reads `pgbackrest info`
JSON, refuses to run if the most recent backup is > 24h old.
SKIP_BACKUP_FRESHNESS=1 escape hatch, documented inline.
* Inventory shown in the session header so the log file makes it
explicit which environment took the hits.
docs/runbooks/rabbitmq-down.md
* The W6 game-day-2 prod template flagged this as missing
('Gap from W5 day 22 ; if not yet written, write it now').
Mirrors the structure of redis-down.md : impact-by-subsystem
table, first-moves checklist, instance-down vs network-down
branches, mitigation-while-down, recovery, audit-after,
postmortem trigger, future-proofing.
* Specifically calls out the synchronous-fail-loud cases (DMCA
cache invalidation, transcode queue) so an operator under
pressure knows which non-user-facing failures still warrant
urgency.
Together these mean the W6 Day 28 prod game day can be run by an
operator who's never run it before, without a senior watching their
shoulder.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
164 lines
6.9 KiB
Markdown
164 lines
6.9 KiB
Markdown
# Runbook — RabbitMQ unavailable
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> **Alert** : `RabbitMQUnreachable` (in `config/prometheus/alert_rules.yml`).
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> **Owner** : infra on-call.
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> **Game-day scenario** : E (`infra/ansible/tests/test_rabbitmq_outage.sh`).
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## What breaks when RabbitMQ is down
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RabbitMQ is a fan-out broker for asynchronous, non-user-facing work
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(transcode jobs, distribution to external platforms, email digests,
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DMCA takedown propagation, search index updates). The user-facing
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request path does NOT block on RabbitMQ — the API publishes a message
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and returns 202 Accepted ; the worker picks it up later.
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| Subsystem | Effect when RabbitMQ is gone | Severity |
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| ------------------------------------ | ------------------------------------------------------------------ | -------- |
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| Track upload → HLS transcode | Upload succeeds (S3 write OK), HLS segments don't appear | **MEDIUM** — track playable via fallback `/stream`, not via HLS |
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| Distribution to Spotify/SoundCloud | Submission silently queued ; users see "pending" forever | MEDIUM — surfaces in distribution dashboard, not in player |
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| Email digest (weekly creator stats) | Cron tick logs `publish failed`, retries on next tick | LOW — eventual consistency, no user-visible breakage |
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| DMCA takedown event | Track flag flipped in DB synchronously ; downstream replay queue stalls | **HIGH** — track is gated immediately (synchronous DB UPDATE), but cache invalidation lags |
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| Search index updates | New tracks not searchable until queue drains | LOW — falls back to Postgres FTS |
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| Chat messages (WebSocket) | INDEPENDENT — chat is direct WS, no RabbitMQ involvement | NONE |
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| Auth, sessions, payments | INDEPENDENT — no RabbitMQ dependency | NONE |
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The synchronous-fail-loud cases (DMCA cache invalidation, transcode
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queue) are the ones that compound if the outage drags. Most user
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flows degrade gracefully.
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## First moves
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1. **Confirm RabbitMQ is actually down**, not "unreachable from one
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host" :
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```bash
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curl -s -u "$RMQ_USER:$RMQ_PASS" http://rabbitmq.lxd:15672/api/overview \
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| jq '.cluster_name, .object_totals'
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```
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2. **Confirm what changed.** If a deploy fired in the last 30 min,
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suspect the deploy. Check `journalctl -u veza-backend-api -n 200`
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for `amqp` errors with timestamps after the deploy.
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3. **Check the queues didn't fill the disk** (most common bring-down
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in development) :
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```bash
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ssh rabbitmq.lxd 'df -h /var/lib/rabbitmq'
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```
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## RabbitMQ instance is down
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```bash
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# State on the RabbitMQ host :
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ssh rabbitmq.lxd sudo systemctl status rabbitmq-server
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# Logs (Erlang verbosity, grep for ERROR/CRASH) :
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ssh rabbitmq.lxd sudo journalctl -u rabbitmq-server -n 500 \
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| grep -E 'ERROR|CRASH|disk_alarm|memory_alarm'
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```
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Common causes :
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- **Disk alarm.** `/var/lib/rabbitmq` filled — RabbitMQ pauses producers
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when free space drops below `disk_free_limit`. The backend's amqp
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client surfaces this as "blocked". Fix : grow the disk or expire old
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messages with `rabbitmqctl purge_queue <queue>` (last resort, you
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lose what's in there).
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- **Memory alarm.** RSS over `vm_memory_high_watermark` × system mem.
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Same effect (producers blocked). Fix : add memory or unblock by
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draining a slow consumer.
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- **Process crashed.** Erlang OOM, segfault. `sudo systemctl restart
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rabbitmq-server` ; the queues survive (durable=true on every queue
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we declare).
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- **Cluster split-brain.** v1.0 is single-node, so this can't happen
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yet. Listed for the v1.1 multi-node config.
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## Backend can't reach RabbitMQ
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Network or DNS issue, not RabbitMQ's fault.
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```bash
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# From the API container :
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nc -zv rabbitmq.lxd 5672
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# DNS :
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getent hosts rabbitmq.lxd
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# AMQP credentials :
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docker exec veza_backend_api env | grep AMQP_URL
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```
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Likely culprits : Incus bridge restart, password rotation didn't
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propagate to the API container's env, security-group change.
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## Mitigation while RabbitMQ is down
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The backend already handles publish failures gracefully :
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- `internal/eventbus/rabbitmq.go` retries with exponential backoff up
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to 30s, then drops to "degraded mode" (publish returns immediately
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with a logged warning, the API call succeeds, the side-effect is
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lost).
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- Workers in `internal/workers/` have `WithRetry()` middleware that
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republishes failed deliveries up to 5 times before dead-lettering.
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If recovery is going to take > 10 min, set
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`EVENTBUS_DEGRADED_LOG_LEVEL=error` (default `warn`) so the
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fail-fast logs land in Sentry and operators can audit which messages
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were dropped.
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**Do NOT** restart the backend to clear the AMQP connection pool ;
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the reconnect logic (`go.uber.org/zap`-logged in eventbus.go:142)
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handles it once RabbitMQ is back.
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## Recovery
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Once RabbitMQ is back up :
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1. Verify connectivity from each backend instance :
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```bash
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docker exec veza_backend_api sh -c 'echo -e "AMQP\x00\x00\x09\x01" | nc -w1 rabbitmq.lxd 5672 | head -c 4'
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```
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Should return `AMQP`.
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2. Watch the queue depth on the management UI :
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`http://rabbitmq.lxd:15672/#/queues`. Expect `transcode_jobs`,
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`distribution_outbox`, `dmca_propagation`, `search_index_updates`
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to drain over the next 5-15 min as the workers catch up.
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3. If a queue is stuck > 30 min after recovery, the worker for it is
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wedged — restart that specific worker container :
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```bash
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docker compose -f docker-compose.prod.yml restart worker-<name>
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```
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## Audit after the outage
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1. Sentry filter `tag:eventbus.status=degraded` between outage start
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and end — gives you the count and shape of dropped events.
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2. For each dropped DMCA event, manually trigger the cache flush :
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```bash
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curl -X POST -H "Authorization: Bearer $ADMIN_TOKEN" \
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https://api.veza.fr/api/v1/admin/cache/dmca/flush
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```
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3. For each dropped transcode job, requeue from the orders table :
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```bash
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psql "$DATABASE_URL" -c "
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INSERT INTO transcode_jobs (track_id, status, attempts, created_at)
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SELECT id, 'pending', 0, NOW() FROM tracks
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WHERE created_at BETWEEN '<outage_start>' AND '<outage_end>'
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AND hls_status IS NULL;
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"
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```
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## Postmortem trigger
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Any RabbitMQ outage > 10 min triggers a postmortem. The non-user-facing
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nature makes this less urgent than Redis or Postgres, but the
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silent-failure modes (dropped DMCA propagation, missing transcodes)
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warrant a write-up so we know what slipped through.
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## Future-proofing
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- v1.1 will move to a 3-node RabbitMQ cluster behind a load balancer
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for HA. This runbook will then split into "single-node down" (the
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cluster keeps serving) and "cluster split-brain" (rare, but the
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recovery path is different).
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- Worker idempotency keys are documented in `docs/api/eventbus.md` —
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any new worker MUST honour them so a replay during recovery doesn't
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double-charge / double-distribute / double-takedown.
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