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Request-Response Model

The request-response model is the most basic observation unit for latency, error handling, data flow, and user experience in backend systems. A well-designed request path carries timeout, retry, idempotency, auth, and observability decisions together.

Quick Decision

SituationApproachWatch Out
User expects an immediate answerSynchronous HTTP/gRPCTimeout and fast failure are required
Work is long-running or retryableAsync queue/eventIdempotency and status tracking are needed
Data depends on another serviceGateway or service callChain latency and partial failure grow
Reads are frequent and data changes slowlyCacheStaleness and invalidation must be defined

Production Checklist

  • Problem: Is the request on the critical path, in the background, or running while the user waits?
  • Solution: Are controller, service, repository, external call, and response mapping boundaries clear?
  • Trade-off: Synchronous flow is easier to debug; asynchronous flow is more resilient but harder to observe.
  • Failure mode: Timeout, retry, duplicate request, partial failure, and validation error behavior should be standard.
  • Measurement: Track request count, p95/p99 latency, error rate, dependency latency, and trace coverage.
  • Security/cost: Every request produces auth, rate-limit, and log cost; sensitive data must not be logged.

Request-Response Lifecycle in Spring Boot

DispatcherServlet

The heart of Spring MVC, routes incoming HTTP requests to appropriate controllers.

Handler Mapping

Maps URL patterns (@RequestMapping, @GetMapping) to controller methods.

Controller Layer

  • @RestController for RESTful endpoints
  • @RequestBody/@ResponseBody for JSON serialization/deserialization

Service Layer

  • @Service annotation for business logic
  • @Transactional for transaction management

Repository Layer

  • Spring Data JPA for ORM mapping
  • @Repository for data access layer

Inter-Service Communication in Microservices

Synchronous Communication

  • OpenFeign client for service-to-service HTTP calls
  • Load balancing with Ribbon/Spring Cloud LoadBalancer

Asynchronous Communication

  • Spring Cloud Stream for message-driven architecture
  • RabbitMQ/Apache Kafka integration

Event-Driven Architecture

  • Domain events for loose coupling
  • Event sourcing pattern for eventual consistency

Timeout & Retry

  • @Retryable annotation for automatic retry
  • Circuit breaker pattern for fault tolerance

Performance Considerations

Connection Pooling

  • HikariCP for database connection pooling
  • Apache HttpClient for HTTP connection pooling

Caching

  • Spring Cache abstraction (@Cacheable) with Redis/Hazelcast integration

Async Processing

  • @Async annotation for non-blocking operations
  • CompletableFuture for async programming

API Gateway Pattern

Spring Cloud Gateway

  • Route definitions
  • Predicates
  • Filters

Rate Limiting

  • Redis-based rate limiting
  • Token bucket algorithm

Circuit Breaking

  • Resilience4j integration
  • Fallback mechanisms

Request/Response Transformation

  • Header manipulation
  • Body transformation

Security

  • JWT validation
  • OAuth2 integration
  • API key management

Load Balancing Strategies

Client-side Load Balancing

  • Spring Cloud LoadBalancer
  • Ribbon

Server-side Load Balancing

  • Nginx
  • HAProxy
  • AWS ALB

Health Checks

  • Spring Boot Actuator
  • Custom health indicators

Service Discovery Integration

  • Eureka
  • Consul
  • Kubernetes service discovery

Request Lifecycle Example

Performance Optimization

Request Optimization

  • Keep-alive connections
  • HTTP/2 multiplexing
  • Request batching
  • Compression (gzip)

Response Optimization

  • Response caching
  • Pagination
  • Field filtering
  • Data compression

Error Handling

  • Circuit breaker pattern
  • Retry mechanisms
  • Graceful degradation
  • Fallback responses

Monitoring & Observability

Request Tracing

  • Distributed tracing
  • Correlation IDs
  • Request timing
  • Error tracking

Metrics Collection

  • Request count
  • Response time
  • Error rate
  • Throughput

Logging Strategy

  • Structured logging
  • Log aggregation
  • Request/response logging
  • Security events

Created by Eren Demir.