Case Studies
Real engagements, real results. Details anonymized to protect client confidentiality.
Problem
Deployment process took 45 minutes, required manual steps, and blocked the entire team on release days.
Approach
Redesigned GitLab CI pipeline with parallel jobs, Docker layer caching, and automated staging promotion. Implemented canary deployments.
Results
- Deployment time: 45min → 3min
- Zero failed deployments in 6 months
- Team ships 3x more features per sprint
Problem
AWS bill grew 60% in one year with no clear explanation. Engineers had no visibility into what was consuming resources.
Approach
Full cloud audit with AWS Cost Explorer. Rightsized EC2 and RDS instances, purchased reserved capacity, identified and cleaned up idle resources.
Results
- AWS cost reduced 40%
- $8,000/month saved
- Cost visibility dashboard in Grafana
Problem
MTTR (Mean Time to Recover) was 2-4 hours. Incidents were discovered by customers before internal teams.
Approach
Built full observability stack: Prometheus + Grafana dashboards, Loki log aggregation, SLO-based alerting, incident runbooks.
Results
- MTTR reduced from hours to minutes
- 100% of incidents caught before customers
- SLO compliance: 99.95%
Problem
Running on bare VMs with no orchestration. Scaling was manual, deployments required SSH, no rollback capability.
Approach
Migrated to EKS with zero downtime using blue/green strategy. Implemented Helm + ArgoCD GitOps, autoscaling, and proper RBAC.
Results
- Zero downtime migration
- Autoscaling saves 30% compute cost
- Deployment: SSH → GitOps in 1 PR