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abevzabevz/devops-skills/skills/production-readiness/SKILL.md

production-readiness

Skill0 starsChanged 41 days agoMITView on GitHub

Use when checking whether an app, service, Kubernetes deployment, Helm chart, Terraform module, or GitOps app is ready to run in production. Mention "production readiness", "is this ready to ship", "prod checklist" as triggers.

17 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use observability, testing and 2 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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The file

We split this skill into the rules it gives an agent

10 rules. 0 are common, 10 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 17 edited versions we read keep these.

  • 10

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Treat missing rollback or DR as high risk.

    line 22
  2. Distinctive:

    Follow the Workflow, Safety rules, and Quality checklist below.

    line 26
  3. Distinctive:

    Use before something goes live, or during a periodic readiness review of an existing service, Kubernetes workload, Helm chart, Terraform …

    line 36
  4. Distinctive:

    Check deployment safety: rollout strategy, readiness/liveness gating, canary or staged rollout, and a documented or automated rollback path.

    line 48
  5. Distinctive:

    Check observability: structured logs, key metrics (RED/USE), dashboards, and alerts tied to user-facing symptoms, not just infrastructure …

    line 50
  6. Distinctive:

    Check security: least-privilege access, secrets handling, network exposure, dependency/ image scanning status.

    line 52
  7. Distinctive:

    Check resourcing: requests/limits (K8s), autoscaling, and capacity headroom for expected load.

    line 54
  8. Distinctive:

    Check resilience: probes, timeouts/retries, graceful shutdown, backup/restore, and — for stateful systems — a tested disaster-recovery path.

    line 56
  9. Distinctive:

    Check operability: config/secrets separated from code, runbook or on-call documentation exists, and someone other than the author can …

    line 58
  10. Distinctive:

    Do not claim something is "production-ready" without checking it — call out anything you couldn't verify (e.g.

    line 73

“Common” is measured: kept by at least 6 in 10 of the 17 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Production Readiness

TL;DR checklist

  • Identify the artifact and its release path.
  • Check rollout, observability, security, capacity, resilience, and rollback.
  • Name remaining blockers with concrete verification evidence.

Key read-only checks

  • Inspect deploy configuration, alerts, capacity assumptions, backups, and test evidence.

Common pitfalls

  • Treat missing rollback or DR as high risk; check for tested DR in stateful systems.

Agent procedure

Follow the Workflow, Safety rules, and Quality checklist below.

Quick references

  • references/checklists.md

Last verified: unverified

When to use

Use before something goes live, or during a periodic readiness review of an existing service, Kubernetes workload, Helm chart, Terraform module, or GitOps-managed app.

Goal

Identify concrete gaps between the current state and what's needed to run safely in production, ranked by risk — not a generic checklist recital.

Workflow

  1. Identify what kind of artifact this is (app/service, K8s workload, Helm chart, Terraform module, GitOps app) and load the relevant lens below.
  2. Check deployment safety: rollout strategy, readiness/liveness gating, canary or staged rollout, and a documented or automated rollback path.
  3. Check observability: structured logs, key metrics (RED/USE), dashboards, and alerts tied to user-facing symptoms, not just infrastructure noise.
  4. Check security: least-privilege access, secrets handling, network exposure, dependency/ image scanning status.
  5. Check resourcing: requests/limits (K8s), autoscaling, and capacity headroom for expected load.
  6. Check resilience: probes, timeouts/retries, graceful shutdown, backup/restore, and — for stateful systems — a tested disaster-recovery path.
  7. Check operability: config/secrets separated from code, runbook or on-call documentation exists, and someone other than the author can operate this.
  8. Rank every gap found by risk (what breaks, how badly, how likely) — not by how easy it is to fix.

References

  • references/checklists.md — deep per-artifact checklists (Kubernetes workload operational layer, stateful/restore-is-the-deliverable, Terraform state protection, GitOps promotion and bootstrap, observability and documentation gates), each item tied to the concrete failure it prevents.

Safety rules

  • This is a review skill: do not deploy, apply, or provision anything.
  • Do not claim something is "production-ready" without checking it — call out anything you couldn't verify (e.g. no access to metrics/dashboards) as unverified.
  • Flag missing rollback or DR capability as high risk even if everything else looks good — it is the check most often skipped.

Output format

## Scope
<what was reviewed>

## Blocking gaps
- <gap> — risk: <what breaks / who's affected> — fix: <concrete action>

## Should-fix before scale
- ...

## Nice-to-have
- ...

## Not verified
<things that couldn't be checked from available context>

Quality checklist

  • Rollback/DR path was explicitly checked, not assumed
  • Every gap states the concrete failure it enables, not just "missing X"
  • Findings are ranked by risk, not by ease of fix
  • Unverifiable items are listed separately rather than silently skipped
  • No deploy/apply action was taken

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