devbook
Architecture & Systems

Microservices

Designing, building, and managing microservice architectures

Microservices

Microservices architecture structures an application as a collection of loosely coupled, independently deployable services.

Core Principles

Single Responsibility

Each service does one thing well.

Autonomy

Services are independently deployable and scalable.

Decentralization

Decentralized data management and governance.

Resilience

Design for failure, isolate failures.

Service Design

Bounded Context

Define clear boundaries for each service based on business domains.

API Contract

interface UserService {
  getUser(id: string): Promise<User>
  createUser(data: CreateUserDTO): Promise<User>
  updateUser(id: string, data: UpdateUserDTO): Promise<User>
  deleteUser(id: string): Promise<void>
}

Data Ownership

Each service owns its data and database.

Communication

Synchronous

// REST API call
const response = await fetch('http://user-service/api/users/123')
const user = await response.json()

// gRPC call
const user = await userClient.getUser({ id: '123' })

Asynchronous

// Event publishing
await eventBus.publish('user.created', {
  userId: '123',
  email: 'user@example.com'
})

// Event handling
eventBus.subscribe('user.created', async (event) => {
  // Handle user creation
})

Patterns

API Gateway

Single entry point for all clients, routes requests to appropriate services.

Service Mesh

Infrastructure layer for service-to-service communication.

Backend for Frontend (BFF)

Separate backend services for different frontend needs.

Saga Pattern

Manage distributed transactions across services.

Circuit Breaker

class CircuitBreaker {
  private state: 'CLOSED' | 'OPEN' | 'HALF_OPEN' = 'CLOSED'
  private failureCount = 0
  private lastFailureTime?: number

  async execute<T>(fn: () => Promise<T>): Promise<T> {
    if (this.state === 'OPEN') {
      if (this.shouldAttemptReset()) {
        this.state = 'HALF_OPEN'
      } else {
        throw new Error('Circuit breaker is OPEN')
      }
    }

    try {
      const result = await fn()
      this.onSuccess()
      return result
    } catch (error) {
      this.onFailure()
      throw error
    }
  }
}

Data Management

Database Per Service

Each service has its own database.

Event Sourcing

Store state changes as events.

CQRS

Separate read and write models.

Challenges

Complexity

  • Service orchestration
  • Distributed debugging
  • Testing complexity

Network Latency

  • Multiple service calls
  • Data consistency

Deployment

  • Container orchestration
  • Service versioning
  • Rolling updates

Tools & Technologies

  • Containers: Docker
  • Orchestration: Kubernetes
  • Service Mesh: Istio, Linkerd
  • API Gateway: Kong, AWS API Gateway
  • Message Broker: Kafka, RabbitMQ
  • Monitoring: Prometheus, Grafana

Best Practices

  • Start with a monolith, evolve to microservices
  • Define clear service boundaries
  • Implement comprehensive monitoring
  • Automate deployment and testing
  • Design for failure
  • Use asynchronous communication where possible
  • Implement proper security (authentication, authorization)