THE PROBLEM

▸ Deployments are manual, slow, and error-prone
▸ No staging environment — changes go straight to production
▸ Cloud costs are growing faster than the business
▸ Team can't deploy without the one person who knows the infrastructure
▸ No rollback strategy when something goes wrong in production

THE APPROACH

01

Infrastructure Audit

Assess current infrastructure, deployment processes, and cost structure. Identify quick wins and long-term optimization targets.

02

Containerization & IaC

Containerize applications with Docker, define infrastructure as code, and set up proper environment separation (dev, staging, production).

03

CI/CD Pipeline Setup

Build automated pipelines for testing, building, and deploying. Include health checks, rollback procedures, and secrets management.

04

Optimization & Handoff

Optimize for cost and performance, set up monitoring and alerting, and document everything so your team can operate independently.

RESULTS

✓ Deploys in under 5 minutes Automated pipelines from commit to production
✓ 40% lower cloud costs Right-sized infrastructure with autoscaling
✓ One-click rollbacks Instant recovery when something goes wrong
✓ Full team autonomy Anyone on the team can deploy safely

TECHNOLOGIES

DockerAWSGCEGitHub ActionsGitLab CIKubernetesJenkins

RELATED WORK

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