Work4Flow is a cloud-native workflow automation and customer relationship management platform that is being migrated from a monolithic codebase to a scalable microservices architecture. This repository contains a sample code skeleton representing the microservices migration using Java and Spring Boot back-end, a React front-end, and cloud-native infrastructure.
- Java & Spring Boot for developing microservices
- Apache Kafka for event-driven communication
- AWS (EC2, RDS, S3, CloudWatch) for cloud hosting
- React for building the admin portal
- Docker & Kubernetes for containerization and orchestration
- CI/CD pipelines using GitHub Actions and Helm
- Decompose the monolithic Work4Flow platform into domain‑driven microservices
- Implement asynchronous communication using Kafka producers and consumers
- Provide REST and gRPC APIs with Resilience4j for fault tolerance
- Develop a responsive React portal for workflow management
- Set up containerized builds and Helm charts for deployment to Kubernetes
- Monitor and log microservices using CloudWatch
The migration follows a microservices architecture. Each bounded context (orders, users, notifications, etc.) is implemented as an independent Spring Boot service communicating via Kafka.
- Java 17
- Node.js 18
- Docker & Kubernetes (Kind or Minikube)
- Maven
# Build Java services
mvn clean package -DskipTests
# Start Kafka broker (docker-compose or local)
docker compose up -d kafka
# Run a service
java -jar order-service/target/order-service-*.jarNavigate to the portal folder and run:
npm install
npm startIn the actual project at Work4Flow, I led the migration effort by designing the microservices architecture, implementing Kafka-based event streams, and creating CI/CD pipelines with Docker, Kubernetes and Helm. This modernization reduced deployment times by over 60% and improved system scalability.