A collection of infrastructure-as-code and automation workflows.
Automated deployment of a high-availability Kubernetes cluster across three AWS regions with global load balancing and automated failover.
Designed a fully automated GitOps workflow that deploys microservices to production upon merging to the main branch, reducing deployment time by 60%.
Implemented a comprehensive observability stack providing real-time metrics, centralized logging, and alerting for 50+ microservices.
Built an event-driven data processing engine using S3 triggers and Lambda functions, capable of handling 100k+ records per minute.