By Johnson Thomas | 3.7 Years Production Experience | Updated 2026
A successful DevOps workflow connects development, automation, infrastructure, testing, and deployment into one reliable delivery pipeline. This documentation hub provides a structured approach for managing containerized applications across AWS, Azure, and GCP from source code commit to high-availability production.
Developers push feature branches and initiate Pull Requests with branch protection rules.
02 / VALIDATION
Test & Scan
Automated test suites run alongside SonarQube code quality checks and Trivy image vulnerability scans.
03 / BUILD
Package
Multi-stage Docker images are built and pushed with immutable Git SHA tags to ECR or Google Container Registry.
04 / STAGING
Verify
Coolify provisions isolated preview environments and ephemeral databases for QA sign-off.
05 / PRODUCTION
Deploy
Target-tracking ECS Fargate and Kubernetes clusters perform zero-downtime rolling updates with automatic rollback safety.
The Methodology
Build. Automate. Observe. Improve.
Every deployment should be repeatable. Infrastructure must be defined as version-controlled code, application releases must be automated without manual intervention, and production environments should maintain complete telemetry visibility.
“Automate everything you can. Document everything you cannot.”
By leveraging Terraform modules across AWS and GCP, Docker containers, and unified CI/CD pipelines, we ensure rapid recovery, deterministic environments, and high operational reliability.
Step-by-step procedures for production management and disaster recovery.
Runbook 01
AWS ECS Service Deployment
Procedures for updating Task Definitions, applying environment variables via AWS SSM Parameter Store, and verifying task health checks during rolling updates.
Standard operating guidelines for investigating production incidents, tracing logs in ELK, and executing emergency database recovery from automated S3 snapshots.