Bereitstellung prüfen und wiederherstellen
Prüft ein Release in seiner tatsächlichen Laufzeit und wählt Wiederherstellung unter Berücksichtigung von Daten- und Schemafolgen.
deployment-verification-recovery
Teammitglieder mit diesem Skill
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.
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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:
- The deployed
/versionor health metadata matches the expectedgit_sha. - At least one representative end-to-end user or API read path succeeds (
200 OKwith valid payload schema). - Error rates (
5xx), startup crash loops, and p95 latency remain within baseline thresholds during the observation window.
- The deployed
- Immediately after deployment, verify:
- 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 (
SIGTERMdrain 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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SKILL.md
