API Gateway Patterns

Expert guidance for implementing API gateways with routing, authentication, traffic management, and service composition patterns for microservices architectures at scale.

When to Use This Skill

• Implementing API gateway infrastructure for microservices
• Designing Backend for Frontend (BFF) layers
• Adding authentication and authorization at the gateway level
• Implementing rate limiting, circuit breakers, and retry logic
• Setting up service discovery and dynamic routing
• Building API composition and aggregation layers
• Managing cross-cutting concerns (logging, monitoring, CORS)
• Evaluating gateway solutions (Kong, Nginx, Envoy, AWS API Gateway)

Core Concepts

Gateway Responsibilities

Routing: Direct requests to appropriate backend services based on path, headers, or host Security: Centralized authentication, authorization, and API key validation Traffic Management: Rate limiting, circuit breakers, retry logic Composition: Aggregate multiple service calls into unified responses Transformation: Modify requests/responses for client optimization or legacy adaptation

Architecture Patterns

Single Gateway: One gateway for all clients (simple, potential bottleneck) BFF Pattern: Separate gateway per client type (mobile, web, admin) - optimized for each GraphQL Gateway: Schema stitching across services, client-driven data fetching Service Mesh: Distributed gateway pattern with sidecar proxies (Istio, Linkerd)

Quick Reference

Implementation Workflow

Phase 1: Requirements Analysis

1. Identify client types: Mobile, web, admin, partners
2. Map service landscape: Catalog backend services and endpoints
3. Define cross-cutting concerns: Auth, logging, monitoring, CORS
4. Determine composition needs: Which endpoints require aggregation?
5. Establish SLAs: Latency, throughput, availability targets

Phase 2: Gateway Design

1. Choose architecture: Single gateway vs BFF vs GraphQL
2. Select implementation: Kong, Nginx, Envoy, AWS API Gateway
3. Design routing rules: Path-based, header-based, host-based
4. Plan authentication: JWT, OAuth 2.0, API keys, or hybrid
5. Define traffic policies: Rate limits, circuit breakers, timeouts

Phase 3: Implementation

1. Set up infrastructure: Deploy gateway instances, configure load balancer
2. Implement routing: Configure service discovery and route definitions
3. Add authentication: JWT validation, OAuth integration, API key management
4. Apply traffic management: Rate limiting, circuit breakers, retry logic
5. Enable observability: Distributed tracing, metrics, structured logging

Phase 4: Testing & Optimization

1. Load testing: Verify performance under expected and peak load
2. Failure injection: Test circuit breakers and retry logic
3. Security testing: Verify auth flows, token validation, RBAC policies
4. Latency optimization: Cache strategies, connection pooling
5. Monitor and tune: Adjust timeouts, limits based on real traffic

Best Practices

1. Centralize Cross-Cutting Concerns: Authentication, logging, monitoring at gateway
2. Keep Gateway Lightweight: Avoid complex business logic, delegate to services
3. Implement Health Checks: Monitor upstream service health, remove unhealthy instances
4. Use Circuit Breakers: Prevent cascading failures, fail fast
5. Apply Rate Limiting: Protect services from overload, implement tiered limits
6. Enable Observability: Distributed tracing, metrics, structured logging
7. Version APIs: Support multiple API versions, plan deprecation
8. Secure Communication: TLS everywhere, mutual TLS for service-to-service
9. Cache Strategically: Response caching, but invalidate properly
10. Test Resilience: Chaos engineering, failure injection, load testing

Common Mistakes

1. Business Logic in Gateway: Keep gateway focused on routing/security, not business rules
2. Chatty Composition: Too many upstream calls (use BFF, GraphQL, or caching)
3. Single Point of Failure: Deploy redundantly, use load balancers
4. No Timeout Configuration: Always set connection/read timeouts to prevent hanging requests
5. Ignoring Backpressure: Implement queue limits, graceful degradation
6. Over-Aggregation: Don't make gateway do too much work (compute-heavy transformations)
7. Inadequate Monitoring: Must track latency, errors, throughput at gateway level
8. No Rate Limiting: Services will be overwhelmed eventually without protection
9. Synchronous Everything: Use async patterns for non-critical operations
10. No Version Strategy: Breaking changes break all clients simultaneously

Resources

• Kong: https://docs.konghq.com/gateway/latest/
• Nginx: https://nginx.org/en/docs/
• Envoy: https://www.envoyproxy.io/docs/envoy/latest/
• AWS API Gateway: https://docs.aws.amazon.com/apigateway/
• Patterns: "Microservices Patterns" by Chris Richardson
• Service Mesh: https://istio.io/latest/docs/
• Circuit Breakers: Martin Fowler's CircuitBreaker pattern
• BFF Pattern: Sam Newman's "Building Microservices"