This repository demonstrates the deployment of a machine learning app on Amazon EKS using Docker and Kubernetes, with the incorporation of MLOps practices such as version control, CI/CD, and infrastructure as code.

A complete beginner-friendly DevOps project demonstrating Amazon EKS, AWS Fargate, Kubernetes, Helm, Ingress, and AWS Load Balancer Controller.

A practical guide for migrating production Kubernetes clusters to Amazon EKS, covering planning frameworks, migration challenges from real enterprise deployments. Refer AWS APG post- https://docs.aws.amazon.com/prescriptive-guidance/latest/migrating-self-managed-kubernetes-clusters-to-amazon-eks/introduction.html

Recommender System with Continuous Retraining on Amazon EKS with NVIDIA Merlin and Triton Inference Server

Fully automated CI/CD pipeline: GitHub Actions → Docker → Amazon ECR → EKS with Kubernetes rolling deployments. Zero-downtime deployments on every commit.

Deploy a full Amazon EKS cluster using EC2 nodes with the AWS CDK (Python). Includes two sample applications (NGINX and React) served via LoadBalancer, with Route 53 DNS records for public subdomains.

Banking ML project for loan propensity scoring with Python, scikit-learn, Flask API, Docker, Terraform, Kubernetes, and CI.

DevSecOps lab preserving an isolated vulnerable Flask target beside a tested remediated path with Bandit, blocking Trivy gates, Terraform, EKS, and Kubernetes.

Deploy a full Amazon EKS cluster using EC2 nodes with the AWS CDK (Python). Includes two sample applications (NGINX and React) served via LoadBalancer, with Route 53 DNS records for public subdomains.