Intelligent Supply Chain Platform 🚀

A cloud-native, event-driven microservices platform built to simulate how modern distributed supply chain systems operate internally.

This project focuses on:

• Distributed Systems
• Event-Driven Architecture
• Kubernetes Orchestration
• Cloud Deployment on AWS EKS
• Observability & Monitoring
• Production-style Infrastructure

The platform was first deployed locally using Minikube for Kubernetes testing/debugging and later deployed on AWS EKS.

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📌 Architecture Overview

Core Components

• Spring Boot Microservices
• Apache Kafka Event Streaming
• PostgreSQL Database per Service
• Eureka Service Discovery
• API Gateway
• Dockerized Infrastructure
• Kubernetes Deployments
• AWS EKS Deployment
• Helm Packaging
• Prometheus Monitoring
• Grafana Dashboards
• Zipkin Distributed Tracing

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🧩 Microservices

Service	Responsibility
User Service	Manages users
Order Service	Creates and manages orders
Inventory Service	Handles product inventory
Payment Service	Processes payments
Shipment Service	Manages shipment workflows
Return Service	Handles product returns
API Gateway	Central entry point
Discovery Server	Eureka-based service discovery

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⚡ Event-Driven Workflow

Client Request
      ↓
API Gateway
      ↓
Order Service
      ↓
Kafka Event: OrderCreatedEvent
      ↓
Payment Service
      ↓
Kafka Event: PaymentProcessedEvent
      ↓
Shipment Service

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🛠️ Tech Stack

Backend

• Java 21
• Spring Boot
• Spring Cloud
• Spring Data JPA
• Spring Cloud Gateway
• Eureka Discovery Server

Messaging

• Apache Kafka

Database

• PostgreSQL

DevOps & Cloud

• Docker
• Kubernetes
• Minikube
• AWS EKS
• Helm

Observability

• Prometheus
• Grafana
• Zipkin

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☁️ Kubernetes Deployment

Local Deployment

• Minikube
• Kubernetes Services
• Ingress
• Configurations & Secrets

Cloud Deployment

• AWS EKS Cluster
• AWS LoadBalancer
• Kubernetes Deployments
• Service Networking
• Public Access via AWS ELB

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📊 Observability Stack

Prometheus

• JVM Metrics
• Request Monitoring
• CPU & Memory Metrics

Grafana

• Dashboard Visualization
• Service Monitoring
• Infrastructure Metrics

Zipkin

• Distributed Tracing
• Request Flow Visualization
• Inter-service Communication Tracking

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☸️ Kubernetes Features Used

• Deployments
• Services
• Namespaces
• ConfigMaps
• Secrets
• Ingress
• LoadBalancer
• Helm Charts
• Pod Networking
• Service Discovery

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📂 Project Structure

intelligent-supply-chain/
│
├── api-gateway/
├── discovery-server/
├── user-service/
├── order-service/
├── inventory-service/
├── payment-service/
├── shipment-service/
├── return-service/
├── shared-kafka-events/
│
├── k8s/
├── intelligent-supply-chain-chart/
└── screenshots/

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🚀 Running the Project

Clone Repository

git clone https://github.com/98001yash/intelligent-supply-chain.git
cd intelligent-supply-chain

Docker Compose

docker-compose up -d

Minikube Deployment

minikube start
minikube addons enable ingress
kubectl apply -R -f k8s/

AWS EKS Deployment

aws configure

eksctl create cluster \
--name intelligent-supply-chain \
--region ap-south-1 \
--nodegroup-name workers \
--node-type t3.medium \
--nodes 2

kubectl apply -R -f k8s/

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📈 Observability Access

Grafana

kubectl port-forward svc/grafana 3000:3000 -n intelligent-supply-chain

Zipkin

kubectl port-forward svc/zipkin 9411:9411 -n intelligent-supply-chain

Eureka Dashboard

kubectl port-forward svc/discovery-server 8761:8761 -n intelligent-supply-chain

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🔥 Key Learnings

This project provided hands-on experience with:

• Distributed Systems Architecture
• Event-Driven Communication
• Kafka-based Workflows
• Kubernetes Networking
• AWS EKS Infrastructure
• Dockerized Deployments
• Observability Engineering
• Distributed Tracing
• Cloud-native System Design
• Microservices Communication
• Debugging Production-style Failures

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🔮 Future Improvements

• AI-driven anomaly detection
• Predictive inventory intelligence
• Real-time analytics
• Advanced scaling experiments
• CI/CD automation
• Security hardening

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📎 GitHub Repository

Repository: https://github.com/98001yash/intelligent-supply-chain

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🙌 Final Note

This project was built to deeply understand how modern distributed systems, Kubernetes infrastructure, observability tooling, and event-driven microservices work together in real production-style environments.