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)