Distributed application approach using specialized, autonomous services
Core Idea: Microservices architecture is an approach to software development where applications are composed of small, independently deployable services that communicate over a network, each performing a specific business function.
Key Elements
Key Characteristics
- Services organized around business capabilities
- Independent deployment and scaling
- Decentralized data management
- Autonomous teams and development
- Smart endpoints, dumb pipes communication
- Design for failure and resilience
- Infrastructure automation
Technical Components
- Service Components: Individual, focused microservices
- API Gateway: Single entry point for clients
- Service Registry: Service discovery mechanism
- Config Server: Centralized configuration management
- Distributed Tracing: Request flow tracking across services
- Circuit Breaker: Failure isolation pattern
- Event Bus: Asynchronous messaging system
- Telemetry: Monitoring and logging infrastructure
Service Boundaries
- Defined by business domain
- Single responsibility principle
- Loose coupling between services
- High cohesion within services
- Independent data stores (one per service)
- Size considerations (not too large or small)
Communication Patterns
- Synchronous: RESTful HTTP, gRPC
- Asynchronous: Message queues, event streams, pub/sub
- Request-Response: Direct service-to-service calls
- Event-Driven: React to events in the system
- Choreography: Services react to events without central coordinator
- Orchestration: Central service coordinates workflow
Implementation Example
A simple microservice using Spring Boot (Java):
@SpringBootApplication
@RestController
public class ProductService {
private final ProductRepository repository;
public ProductService(ProductRepository repository) {
this.repository = repository;
}
@GetMapping("/products")
public List<Product> getAllProducts() {
return repository.findAll();
}
@GetMapping("/products/{id}")
public ResponseEntity<Product> getProductById(@PathVariable Long id) {
return repository.findById(id)
.mapok
.orElse(ResponseEntity.notFound().build());
}
@PostMapping("/products")
public ResponseEntity<Product> createProduct(@RequestBody Product product) {
Product saved = repository.save(product);
URI location = ServletUriComponentsBuilder
.fromCurrentRequest()
.path("/{id}")
.buildAndExpand(saved.getId())
.toUri();
return ResponseEntity.created(location).body(saved);
}
}
Challenges and Solutions
- Service Discovery: Service registry (Consul, Eureka)
- Configuration Management: Config servers, environment variables
- Resilience: Circuit breakers, bulkheads, timeouts
- Monitoring: Distributed tracing, centralized logging
- Testing: Consumer-driven contracts, component testing
- Deployment: CI/CD pipelines, containerization
- Data Consistency: Saga pattern, eventual consistency
Migration Strategies
- Strangler Pattern: Gradually replace components
- Branch by Abstraction: Create abstraction layer first
- Sidecar Pattern: Add capabilities without changing service
- Domain-Driven Design: Model services around business domains
- Micro Frontends: Apply microservices principles to frontend
Additional Connections
- Broader Context: Distributed Systems, Software Architecture Patterns
- Applications: Cloud-Native Applications, Enterprise Application Integration
- See Also: Container Orchestration, API Gateway Pattern, Event-Driven Architecture
References
- "Building Microservices" by Sam Newman
- "Microservices Patterns" by Chris Richardson
- Martin Fowler's microservices article: https://martinfowler.com/articles/microservices.html
#microservices #architecture #distributed-systems #cloud-native #software-design
Connections:
Sources:
- From: Worklog n8n