Skill · Version 1.0.0

Bereitstellung prüfen und wiederherstellen

Prüft ein Release in seiner tatsächlichen Laufzeit und wählt Wiederherstellung unter Berücksichtigung von Daten- und Schemafolgen.

deployment-verification-recovery

Entdecke, wie der Skill hilft

Wann ist der Skill hilfreich?

Nutze ihn nach Bereitstellung, wenn Zustand, aktive Revision oder sichere Wiederherstellung noch bestätigt werden müssen.

Wobei hilft er dir?

Trennt Start-, Lebenszeichen- und Bereitschaftsprüfungen.
Prüft bereitgestellte Revision und eine repräsentative Live-Anfrage.
Wählt Wiederherstellung anhand von Schemaänderungen und betroffenen Daten.

Das könntest du fragen

Prüfe ein Release mit Wiederherstellungsplan für bereits nach Migration geschriebene Daten. Bestätige die aktive Revision mit einer echten Anfrage und prüfe neue Datensätze. Wähle anhand dieser Daten Vorwärtskorrektur oder kompatible Rückkehr.

Ausführliche Dokumentation

Hier findest du die ursprüngliche Anleitung, Beispiele und Prüfschritte des Skills in ihrer Originalsprache.

Details…Weniger anzeigen

Deployment Verification & Recovery

A green CI build proves only that the code compiled and passed synthetic tests—it does not prove the release works in the target environment. Every deployment requires live health verification and a pre-planned recovery path.

Liveness vs. Readiness vs. Startup Probes

Never wire all health checks to a single endpoint that indiscriminately restarts healthy containers when a downstream dependency blips:

Probe Type	Question Answered	What to Check	Failure Action by Orchestrator
Startup (`/health/startup`)	Has the process finished booting and loading config?	Env validation, local initialization, listening socket bound	Hold off liveness checks until startup completes or timeout expires
Liveness (`/health/live`)	Is the process alive and not deadlocked?	Event loop / process responsiveness only (no external DB/API calls!)	Restart the container/process if it fails repeatedly
Readiness (`/health/ready`)	Can this instance safely serve traffic right now?	DB connection pool reachable, migrations complete, not in graceful shutdown drain	Remove instance from load balancer rotation without killing it

Post-Deploy Smoke Checks & Progressive Rollout

Automated smoke verification:
- Immediately after deployment, verify:
  1. The deployed /version or health metadata matches the expected git_sha.
  2. At least one representative end-to-end user or API read path succeeds (200 OK with valid payload schema).
  3. Error rates (5xx), startup crash loops, and p95 latency remain within baseline thresholds during the observation window.
Zero-downtime rolling / blue-green / canary cutover:
- Keep old instances serving traffic until new instances pass readiness and smoke checks.
- During cutover, stop sending new requests to retiring instances, wait for in-flight HTTP requests and active jobs to finish (SIGTERM drain period), and only then terminate the old processes.

Rollback vs. Roll-Forward Decision Matrix

When a release degrades production, prioritize restoring service over debugging in place—while accounting for data and schema state:

Failure Scenario	Safe Recovery Action	Critical Caveat
Stateless code bug, bad config, or broken asset bundle (no irreversible data mutation)	Immediate Artifact Rollback: re-point traffic or redeploy the previous known-good immutable image digest (`sha-...`)	Verify config/env variables required by the previous version are still present.
Additive migration ran, new code crashes	Redeploy Previous App Artifact: leave the additive schema change (`NULL` column / new table) in place	Never run automatic `down` migrations during an incident if they `DROP` columns or tables containing newly written data!
Data-corrupting write or destructive schema change	Contain & Roll Forward / Point-in-Time Recovery: pause offending writes/workers, assess affected records, and apply a tested forward fix or scoped data restore	Rolling back application code does not undo mutated database rows or sent external webhooks.

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