Project information
- Category: DevOps / Automation
- Type: Continuous lab (iterative improvements)
- Focus: CI/CD, IaC, reliability, security
- Status: Active
- Repo: GitHub (DevOps Lab)
Tools used
- Git + GitHub Actions
- Terraform (IaC)
- AWS (S3/CloudFront/EC2/etc as needed)
- Linux + Bash
- Docker (optional)
- Logging/Monitoring (optional)
DevOps Lab (CI/CD + IaC + Automation)
Built a hands-on DevOps lab to practice production workflows: repeatable infrastructure, automated deployments, and troubleshooting environments the same way you would in a real org.
Core goals
- Consistency: infrastructure and deployments are repeatable, documented, and version-controlled
- Automation: reduce manual steps using pipelines and scripts
- Reliability: focus on observability, rollback paths, and safer releases
- Security: least privilege, secure defaults, and guardrails
What’s included in the lab
- CI/CD pipelines that lint/test/build and deploy automatically
- Terraform-managed infrastructure (remote state + locking where applicable)
- Environment separation (dev/stage/prod patterns)
- Operational workflows: deployments, logging, and troubleshooting checklists
Notable engineering decisions
- Use of Infrastructure as Code to prevent “click-ops drift”
- Pipeline steps structured to fail fast (lint/test before deploy)
- Explicit handling for secrets and config (GitHub secrets, env vars)
- Clear rollback strategy (revert commit / redeploy last known good)
Next upgrades
- Add automated security checks (tfsec/checkov, dependency scanning)
- Add monitoring dashboards + alerting (CloudWatch, Grafana, etc.)
- Add blue/green or canary-style deployments for safer releases
Quick summary
A continuously improving lab demonstrating practical DevOps skills: CI/CD, Terraform, AWS, troubleshooting, and production-minded automation.