Microservices Architecture

Microservices Architecture

Table of Contents

• Overview
• When to Use
• Quick Start
• Reference Guides
• Best Practices

Overview

Comprehensive guide to designing, implementing, and maintaining microservices architectures. Covers service decomposition, communication patterns, data management, deployment strategies, and observability for distributed systems.

When to Use

• Designing new microservices architectures
• Decomposing monolithic applications
• Implementing service-to-service communication
• Setting up API gateways and service mesh
• Implementing service discovery
• Managing distributed transactions
• Designing inter-service data consistency
• Scaling independent services

Quick Start

Minimal working example:

Bounded Contexts:
┌─────────────────┐  ┌─────────────────┐  ┌─────────────────┐
│  Order Service  │  │  User Service   │  │ Payment Service │
│                 │  │                 │  │                 │
│ - Create Order  │  │ - User Profile  │  │ - Process Pay   │
│ - Order Status  │  │ - Auth          │  │ - Refund        │
│ - Order History │  │ - Preferences   │  │ - Transactions  │
└─────────────────┘  └─────────────────┘  └─────────────────┘

Reference Guides

Detailed implementations in the references/ directory:

Best Practices

✅ DO

• Design services around business capabilities
• Use asynchronous communication where possible
• Implement circuit breakers for resilience
• Use API gateway for cross-cutting concerns
• Implement distributed tracing
• Use service mesh for service-to-service communication
• Design for failure (chaos engineering)
• Implement health checks for all services
• Use correlation IDs for request tracking
• Version your APIs
• Implement proper monitoring and alerting
• Use event-driven architecture for loose coupling
• Implement idempotent operations
• Use database per service pattern

❌ DON'T

• Share databases between services
• Create overly granular services (nanoservices)
• Use distributed transactions (two-phase commit)
• Ignore network latency and failures
• Share domain models between services
• Deploy all services as one unit
• Hardcode service URLs
• Forget to implement authentication/authorization
• Use synchronous calls for long-running operations
• Ignore backward compatibility
• Skip monitoring and logging
• Create circular dependencies between services