deployment-runbook

Deployment automation with health checks involves executing pre-deployment verification scripts, deploying application code, running post-deployment health checks across application, database, cache, and external services, then executing rollback procedures if failures are detected. This Skill provides standardized runbooks for these workflows using Python scripts with the requests library to verify service health and execute rollback strategies automatically.

Blue-green deployments run two identical production environments and switch traffic instantly, enabling rapid rollbacks. Canary deployments gradually route traffic to a new version while monitoring health. Rolling deployments incrementally replace instances. This Skill provides procedures and health verification scripts for all three strategies, helping you select the approach that matches your zero-downtime requirements and risk tolerance.

Automated health checks execute verification scripts post-deployment to confirm application, database, cache, and external service availability. This Skill includes ready-to-use scripts that test endpoint responsiveness, verify data connectivity, and validate service dependencies, returning pass or fail status to trigger rollback if critical checks fail.

Rapid rollback is achievable by pre-planning rollback strategies and executing standardized procedures. This Skill provides clear, actionable rollback steps covering code reversion, database migration reversal, and backup restoration, enabling you to revert to a stable state within minutes of detecting a deployment failure.

Pre-deployment checklists verify prerequisites including backup completion, health check script validation, stakeholder notification, and rollback procedure verification. This Skill guides you through systematic pre-deployment validation to confirm your application, dependencies, and infrastructure are ready, reducing manual errors during critical releases.

Yes. This Skill addresses deployment troubleshooting by providing procedures to diagnose failed health checks, identify root causes across application and infrastructure layers, and execute appropriate remediation or rollback. It includes structured approaches to log analysis and service verification when deployments encounter issues.