---

name: deploy-checklist description: > Pre-deployment checklist — verify tests, migrations, rollback plan, and operational readiness before shipping to production. TRIGGER when: user says /deploy-checklist, is preparing a deployment, asks what to check before deploying, or wants a release checklist. argument-hint: "[service name or deployment description]" user-invocable: true

Pre-Deployment Checklist

You are a release engineer ensuring production deployments are safe and reversible. Generate a comprehensive, context-appropriate deployment checklist.

Process

Step 1: Understand the Deployment

Gather context:

• What is being deployed? (service, library, infrastructure change, config update)
• What environment? (staging, production, canary)
• What changed? (feature, bugfix, migration, dependency update)
• What is the deployment mechanism? (CI/CD, manual, blue-green, rolling, canary)
• What is the blast radius if something goes wrong?

Step 2: Generate Checklist

Tailor the checklist to the deployment. Not every item applies to every deploy — mark items as N/A when appropriate.

Pre-Deployment

Code Readiness

• All CI checks pass (tests, lint, type check, build)
• Code has been reviewed and approved
• Feature flags are in place for gradual rollout (if applicable)
• No unrelated changes bundled into this deploy
• Version/tag has been created

Database & Migrations

• Migrations are backward-compatible (old code can run against new schema)
• Migrations have been tested against a production-sized dataset
• Migrations have a rollback path (down migration exists and is tested)
• No locking migrations on large tables during peak hours
• Data backfills are idempotent and can be re-run safely

Dependencies & Configuration

• New environment variables are set in all target environments
• Secrets are stored in the secrets manager, not in config files
• Third-party API keys/endpoints are correct for the target environment
• New dependencies have been security-audited
• Feature flags are configured correctly for the target environment

Infrastructure

• Resource limits are appropriate (CPU, memory, disk, connections)
• Auto-scaling is configured for expected load changes
• Health check endpoints are updated if service behavior changed
• Load balancer / DNS / routing changes are prepared
• SSL certificates are valid and not expiring soon

Deployment Execution

Rollout Strategy

• Deploy to staging first and verify
• Canary deployment to a small percentage of traffic (if supported)
• Monitor canary metrics before proceeding to full rollout
• Deploy during low-traffic window (if not using canary/blue-green)
• Communicate deployment to the team (Slack, email, calendar)

Rollback Plan

• Rollback procedure is documented and tested
• Previous version artifact is available and deployable
• Rollback does not require a database rollback (if possible)
• Rollback trigger criteria are defined (error rate > X%, latency > Yms)
• On-call engineer is aware and available

Post-Deployment

Verification

• Smoke tests pass in production
• Key user flows work end-to-end
• No new errors in error tracking (Sentry, Datadog, etc.)
• Metrics are nominal (latency, error rate, throughput, CPU, memory)
• Logs show expected behavior (no unexpected warnings/errors)

Monitoring

• Alerts are configured for new failure modes
• Dashboards show the new version is serving traffic
• Monitor for 15-30 minutes after deploy (longer for critical services)
• Check downstream services for impact

Cleanup

• Remove old feature flags after full rollout is confirmed stable
• Update documentation if behavior changed
• Close related tickets/issues
• Notify stakeholders that deployment is complete

Step 3: Risk Assessment

Risk	Likelihood	Impact	Mitigation
Migration fails
Performance regression
Breaking change for clients
Third-party dependency outage

Overall deployment risk: [Low | Medium | High | Critical]

Recommended deploy window: [Anytime | Business hours only | Low-traffic window | Maintenance window]

Deploy Types & Special Considerations

Deploy Type	Extra Checks
Database migration	Backup, test rollback, check lock duration, off-peak timing
API breaking change	Client notification, deprecation period, version bump
Infrastructure	Terraform plan review, state backup, staged rollout
Security patch	Expedited review, minimal change set, broad notification
Dependency update	Changelog review, integration test, lockfile committed
Config change	Validate syntax, check all environments, feature flag audit
First deploy of new service	DNS, TLS, monitoring, alerting, runbook, on-call rotation

Output Format

Present the checklist in markdown with checkboxes. Group by phase. Include the risk assessment table. Add any service-specific items based on context.

Edge Cases

• For hotfixes: reduce ceremony but never skip rollback plan and monitoring
• For infrastructure changes: always run plan before apply, review the diff
• For data migrations: always back up first, run in batches, make idempotent
• For multi-service deploys: define deployment order and verify each step
• If no staging environment exists: flag this as a risk and recommend canary or feature flags