E-Commerce Microservices Demo

Project Overview

This repository demonstrates my implementation of a scalable microservices architecture using modern cloud-native technologies. While it uses an e-commerce platform as its context, the primary focus is on showcasing clean code, proper system design, and DevOps best practices rather than implementing a full-featured e-commerce solution.

Learning Objectives & Skills Demonstrated

• Microservices Architecture Implementation
• Cloud-Native Development
• Container Orchestration with Kubernetes
• CI/CD Pipeline Setup
• Infrastructure as Code
• Service Mesh Implementation
• Monitoring and Observability Setup

System Components

The platform consists of these core microservices:

1. API Gateway

   • Central entry point demonstrating API management
   • Basic authentication and routing implementation

2. Users Service

   • Simple user management implementation
   • Basic authentication showcase

3. Products Service

   • Basic product catalog functionality
   • Demonstrates MongoDB integration

4. Orders Service

   • Simple order processing demonstration
   • Shows service-to-service communication

Technical Stack

Infrastructure

• Cloud Provider: AWS EKS
• Infrastructure as Code: Terraform
• Container Orchestration: Kubernetes
• Service Mesh: Istio
• Package Management: Kustomize
• Secrets Management: AWS Secrets Manager

CI/CD

• Continuous Integration: GitHub Actions
• Deployment Strategy: GitOps with automated rollbacks
• Environment Management: Development and Production environments

Monitoring & Observability

• Metrics: Prometheus
• Logging: ELK Stack
• Alerting: AlertManager

Architecture Highlights

System Architecture

AWS Infrastructure

• Microservices Architecture: Decomposed into independent, scalable services
• API Gateway Pattern: Centralized routing and authentication
• Event-Driven Design: Asynchronous communication using message queues
• Database Per Service: Independent data stores for service autonomy
• Auto-Scaling: HPA for dynamic workload management
• High Availability: Multi-AZ deployment with pod anti-affinity

DevOps Best Practices

• Infrastructure as Code (IaC)

  • Terraform modules for AWS infrastructure
  • Kustomize overlays for environment-specific configurations
  • Version-controlled infrastructure changes

• Continuous Deployment

  • Automated deployment pipelines
  • Environment promotion workflow
  • Canary deployments for risk mitigation

• Security

  • Network policies for service isolation
  • RBAC implementation
  • Secrets encryption at rest
  • Regular security scanning

• Monitoring

  • Real-time metrics and alerting
  • Distributed tracing
  • Centralized logging
  • Performance monitoring

Repository Structure

├── terraform/                 # Infrastructure as Code
│   ├── modules/              # Reusable infrastructure components
│   └── environments/         # Environment-specific configurations
├── k8s/                      # Kubernetes manifests
│   ├── base/                 # Base configurations
│   └── overlays/            # Environment overlays
├── .github/
│   └── workflows/           # CI/CD pipelines
└── monitoring/              # Observability configurations

Infrastructure Design

The infrastructure follows a multi-environment setup with complete isolation between development and production:

• Networking: VPC with public and private subnets
• Security: Network ACLs, Security Groups, and Pod Security Policies
• Scalability: Auto-scaling groups and Horizontal Pod Autoscaling
• Reliability: Multi-AZ deployment with automated failover

Deployment Strategy

The deployment process implements a robust GitOps workflow:

1. Feature Branch → Automated testing and validation
2. Development Branch → Deployment to development environment
3. Main Branch → Production deployment with canary release

Each step includes automated validation, security checks, and rollback capabilities.

Skills Demonstrated

• Cloud Architecture Design
• Infrastructure Automation
• Container Orchestration
• CI/CD Pipeline Development
• Security Implementation
• Monitoring & Observability
• High Availability Design
• Performance Optimization
• Cost Management
• Documentation

Note: This project serves as a demonstration of my technical capabilities and DevOps expertise. It is not intended for production use or as an open-source project.