AWS EKS .NET Microservices Platform

Architecture

Project Overview

This project demonstrates the design, containerization, deployment, and management of a cloud-native .NET microservices platform on Amazon Elastic Kubernetes Service (EKS). The platform consists of multiple business applications deployed as containerized microservices and orchestrated through Kubernetes. Infrastructure is provisioned using Terraform, application delivery is automated using GitHub Actions, and observability is provided through Prometheus and Grafana. The project showcases production-grade DevOps practices including Infrastructure as Code, CI/CD automation, autoscaling, ingress management, persistent storage, monitoring, and cloud-native application deployment.

Technology Stack

Key Features

• Cloud-native .NET microservices architecture
• Containerized applications using Docker
• Amazon EKS Kubernetes orchestration
• Infrastructure provisioning with Terraform
• Automated CI/CD pipelines using GitHub Actions
• Docker image build and deployment automation
• Application deployment through Kubernetes Deployments
• Traffic routing using NGINX and ALB Ingress
• Horizontal Pod Autoscaler (HPA) for application scaling
• Persistent storage using Amazon EBS gp3 volumes
• Microsoft SQL Server StatefulSet deployment
• Amazon RDS PostgreSQL integration
• Monitoring and observability with Prometheus and Grafana
• Secure Kubernetes ConfigMaps and Secrets management
• Production-style multi-service repository structure

Screenshots

GitHub Actions CI/CD Pipeline

Amazon EKS Cluster Overview

Kubernetes Services and ALB Ingress

Microservices Running on EKS

School Application Deployment

Vivahadeepam Application Deployment

DevOps Highlights

• Designed and implemented Amazon EKS infrastructure using Terraform
• Automated build and deployment workflows using GitHub Actions
• Containerized multiple .NET applications with Docker
• Configured Kubernetes ingress and service networking
• Implemented autoscaling and high-availability deployment patterns
• Deployed monitoring stack with Prometheus and Grafana
• Managed persistent storage and database workloads on Kubernetes
• Applied production-grade cloud-native deployment practices

Project Outcome

This project demonstrates end-to-end cloud-native application delivery on AWS, covering infrastructure automation, container orchestration, CI/CD pipelines, monitoring, autoscaling, and production-ready Kubernetes operations. It showcases practical experience building and operating scalable microservices platforms using modern DevOps and platform engineering practices.