Kubernetes Observability Platform (FastAPI + Autoscaling)
Environment: FastAPI, Kubernetes, Prometheus, Grafana, HPA, PDB Description: Deployed a FastAPI service on Kubernetes with full observability (Prometheus + Grafana), horizontal pod autoscaling (HPA) under real load, and reliability guarantees via Pod Disruption Budgets and health probes. My Responsibilities: Configured Prometheus/Grafana monitoring for the FastAPI service on Kubernetes Set up HPA and PDB for autoscaling and availability Designed and ran a load test specifically to trigger the autoscaler under real load, validating that scaling actually worked (not just configured)
Microservices CI/CD Pipeline on AWS EKS
Environment: Python (Flask), Docker, Terraform, AWS EKS/VPC, [CI/CD tool — confirm which you used: Jenkins / GitHub Actions / GitLab CI] Description: Built and deployed a containerized microservices application with an automated CI/CD pipeline, provisioning AWS EKS infrastructure via Terraform, with Kubernetes deployment and service manifests for the running application. My Responsibilities: Wrote Terraform configuration to provision the EKS cluster and VPC Containerized the application with Docker Set up the CI/CD pipeline for automated build and deployment Wrote Kubernetes deployment and service manifests