Kubernetes Deployment Platform on AWS (EKS)

Project Overview

Designed and managed a containerized application platform on AWS using Amazon Elastic Kubernetes Service (EKS) to support scalable and reliable application deployments. The platform focused on simplifying Kubernetes-based deployments, improving operational efficiency, and enabling easier management of containerized workloads in AWS cloud environments.

The infrastructure included Kubernetes workloads deployed on EKS, CI/CD automation, container image management, centralized monitoring, and managed AWS services to support production-style application hosting and deployment workflows.

Key Responsibilities

• Deployed and managed Kubernetes workloads on Amazon EKS for containerized applications.

• Configured worker nodes, namespaces, deployments, services, ingress, and autoscaling for application workloads.

• Built CI/CD pipelines using GitHub Actions to automate Docker image build and deployment processes.

• Integrated Amazon ECR for storing and managing container images securely.

• Configured Application Load Balancer (ALB) ingress for external application access and traffic routing.

• Managed containerized applications using Docker and Kubernetes deployment manifests.

• Implemented centralized monitoring and logging using Prometheus, Grafana, and AWS CloudWatch.

• Deployed backend services with Amazon RDS and Redis for application data and caching requirements.

• Worked with IAM roles, security groups, and VPC networking for Kubernetes cluster access and infrastructure communication.

• Improved deployment consistency and scalability through automated Kubernetes deployment workflows.

Technologies & Services Used

Amazon EKS, Kubernetes, Docker, Amazon ECR, GitHub Actions, Application Load Balancer (ALB), Amazon RDS, Redis, AWS CloudWatch, Prometheus, Grafana, IAM, VPC, EC2, Route 53, Bash Scripting

Key Outcomes

• Improved application deployment consistency using Kubernetes orchestration • Simplified container deployment and scaling workflows • Reduced manual operational effort through CI/CD automation • Improved infrastructure visibility with centralized monitoring and logging • Built scalable cloud-native application deployment workflows on AWS • Gained operational experience managing Kubernetes workloads in AWS cloud environments