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yassinechouket / repository
This project implements DevOps best practices to deploy a Spring Boot Kafka-based REST API on AWS using Terraform, Docker, and Kubernetes (EKS). It features a CI/CD pipeline with GitHub Actions, NGINX Ingress for traffic routing,
A containerized Spring Boot application with Kafka messaging and PostgreSQL database, demonstrating modern DevOps practices.
Services :
http://localhost:8080localhost:5336localhost:9092Stack: Spring Boot (Java 21) + PostgreSQL 15 + Kafka 3.4 + Zookeeper
Services:
Why: Reduce image size by ~70% and improve security.
Benefits: Smaller images, faster deployments, no build tools in production.
Why: Simple local development with service orchestration.
Why: Automated testing and deployment on every commit.
Flow:
Push/PR → Build Image → Push to ECR → Pull & Test → Cleanup
Features:
Format: {ECR_DOMAIN}/spring-kafka-service:{GIT_SHA}
Why: Enables precise rollbacks, audit trails, and avoids "latest" ambiguity.
Why: Simplify complex Docker/AWS commands and ensure consistency.
Key Commands:
make build-image # Build Docker images
make build-image-push # Push to ECR
make up # Start services
make down # Stop and cleanup
Triggers: Push to main or any Pull Request
Stages:
Required Secrets:
AWS_ACCESS_KEY_IDAWS_SECRET_ACCESS_KEYAWS_DEFAULT_REGIONProvisions:
Usage:
cd terraform/
terraform init
terraform apply
├── .github/workflows/ # CI/CD pipelines
├── src/ # Spring Boot source
├── terraform/ # IaC configurations
├── k8s/ # Kubernetes manifests
├── Dockerfile # Multi-stage build
├── docker-compose.yml # Local orchestration
├── Makefile # Build automation
└── pom.xml # Maven dependencies
This project demonstrates:
Selected from shared topics, language and repository description—not editorial ratings.
sakit333 /
This project demonstrates a complete CI/CD pipeline for automating the build, containerization, and deployment of a simple Java Web Application using modern DevOps tools. It is designed as a student project to showcase practical DevOps implementation on AWS.