Atif Ali

A Series A startup burning $40K/month on AWS with no visibility into waste. EC2 instances consistently over-provisioned, idle resources never cleaned up, no tagging strategy to track costs by team or service.

Implemented Karpenter for intelligent demand-driven node provisioning, replacing static node groups entirely. Rightsized all RDS instances using CloudWatch metrics. Cleaned up 40+ unused Elastic IPs and implemented AWS Config tagging policy.

Monthly AWS spend dropped from $40K to $12K within 8 weeks, a 70% reduction. Karpenter alone saved $18K/month. Engagement paid for itself in the first week.

20+ microservices team spending entire afternoons on manual deployments via SSH scripts. Every production deployment was a high-stress, error-prone event consuming 3 to 4 hours of senior engineering time.

Designed GitLab CI/CD pipelines with per-service pipelines sharing common CI templates. Each pipeline included automated testing, Docker builds with layer caching, staging deployments with smoke tests, and automated rollback on health check failure.

Deployment time dropped from 4 hours to 15 minutes, a 94% reduction. Team went from deploying weekly to multiple times per day. Feature velocity increased 3× within the first sprint post-implementation.

A SaaS company on a single-region EKS cluster had experienced three significant outages in six months, each lasting 45 to 90 minutes. No pod disruption budgets, no HPA, and alerting generating so many false positives the team had started ignoring pages.

Designed multi-AZ EKS architecture with node groups across three availability zones and pod anti-affinity rules. Rebuilt the observability stack using Prometheus and Grafana with properly tuned alerting thresholds, reducing alert volume by 85%.

Zero downtime incidents in 12 months. Alert fatigue eliminated. The company successfully passed a security audit requiring demonstrated uptime SLA evidence.