Microservices Architecture

Table of Contents

• [Overview](#overview)

• [When to Use](#when-to-use)

• [Quick Start](#quick-start)

• [Reference Guides](#reference-guides)

• [Best Practices](#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