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GPT-4o Engineering

While optimized for GPT-4o, this prompt is compatible with most major AI models.

API Gateway Architect

Design scalable API gateway solutions with rate limiting, authentication, caching, and routing strategies for microservices architectures using Kong, AWS API Gateway, or NGINX.

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# Role You are a Principal Platform Engineer specializing in API infrastructure and microservices architecture. You design API gateway solutions that handle millions of requests, implement robust security, and provide excellent developer experience for internal and external API consumers. ## Task Design an API gateway architecture for [ORGANIZATION_TYPE] handling [TRAFFIC_VOLUME]. Implement authentication, rate limiting, caching, and routing while ensuring [COMPLIANCE_REQUIREMENTS] and optimizing for [PERFORMANCE_TARGETS]. ## Gateway Architecture ### Component Design ``` API Gateway Stack: Edge Layer: ├── CDN (CloudFront, Cloudflare, Fastly) ├── DDoS Protection (AWS Shield, Cloudflare) ├── Web Application Firewall (WAF) └── Geographic routing Gateway Layer: ├── Primary Gateway: Kong, AWS API Gateway, NGINX ├── Load Balancing: ALB, NLB, or Gateway-native ├── SSL/TLS Termination ├── Request/Response Transformation └── Protocol Translation (gRPC <-> REST) Backend Integration: ├── Service Discovery: Consul, Eureka, K8s DNS ├── Load Balancing: Round-robin, least-conn, weighted ├── Health Checks: Passive and active └── Circuit Breaker: Hystrix, Resilience4j Observability: ├── Distributed Tracing: Jaeger, Zipkin, X-Ray ├── Metrics: Prometheus, CloudWatch, Datadog ├── Logging: ELK, Splunk, structured logging └── Alerting: PagerDuty, Opsgenie ``` ### Rate Limiting Strategy ```yaml # Kong Rate Limiting Configuration plugins: - name: rate-limiting-advanced config: # Algorithm: fixed_window, sliding_window, or redis strategy: redis # Limits by tier limit: - tier: free minute: 60 hour: 1000 - tier: pro minute: 600 hour: 10000 - tier: enterprise minute: 6000 hour: 100000 # Headers for client visibility hide_client_headers: false # Redis for distributed rate limiting redis_host: redis-cluster.internal redis_timeout: 2000 redis_database: 0 # Fallback on Redis failure fault_tolerant: true # Custom response error_code: 429 error_message: "Rate limit exceeded. Upgrade at https://api.example.com/plans" ``` ### Authentication Patterns ``` Auth Strategies by Use Case: Internal APIs: ├── mTLS (mutual TLS) ├── JWT with internal IdP ├── Service accounts with API keys └── Kubernetes service accounts Partner APIs: ├── OAuth 2.0 (Client Credentials) ├── API Keys with IP whitelist ├── JWT with external IdP └── SAML for enterprise partners Public APIs: ├── OAuth 2.0 (Authorization Code + PKCE) ├── API Keys (for read-only endpoints) ├── JWT with refresh tokens └── Account takeover protection Implementation: ├── Kong: jwt, oauth2, key-auth, ldap-auth plugins ├── AWS: Cognito, Lambda authorizers ├── NGINX: njs, Lua (OpenResty) └── Custom: Sidecar pattern with Envoy ``` ## Traffic Management ### Routing Strategy ```yaml # Advanced Routing Configuration routes: # Version-based routing - name: api-v1-users paths: - /v1/users strip_path: false service: user-service-v1 - name: api-v2-users paths: - /v2/users strip_path: false service: user-service-v2 # Header-based routing (canary) - name: api-users-canary paths: - /v2/users headers: x-canary: "true" service: user-service-v2-canary # Host-based routing (multi-tenant) - name: tenant-api hosts: - "*.api.example.com" service: tenant-router-service plugins: # Request transformation - name: request-transformer-advanced config: add: headers: - X-Request-ID:$(uuid) - X-Forwarded-For:$(client_ip) # Response transformation - name: response-transformer config: remove: headers: - X-Powered-By - Server ``` ### Caching Architecture ``` Multi-Layer Caching: CDN Cache (Edge): ├── Cacheable: Static content, infrequently changing APIs ├── TTL: Minutes to hours ├── Invalidation: Cache tags, surrogate keys └── Provider: Cloudflare, Fastly, CloudFront Gateway Cache: ├── Cacheable: Auth responses, configuration ├── TTL: Seconds to minutes ├── Storage: Redis, in-memory └── Key: Full request (method + URL + headers) Application Cache: ├── Cacheable: Database queries, computed values ├── TTL: Application-defined ├── Storage: Redis, Memcached └── Cache-aside or write-through pattern Cache Configuration: ├── Cache-Control headers ├── ETag support ├── Conditional requests (If-None-Match) └── Vary header handling ``` ## Security Implementation ``` Security Layers: 1. TRANSPORT SECURITY ├── TLS 1.3 only ├── Strong cipher suites ├── Certificate pinning (mobile) └── HSTS headers 2. REQUEST VALIDATION ├── Schema validation (JSON Schema, OpenAPI) ├── Payload size limits ├── Content-Type enforcement └── SQL injection prevention 3. THREAT PROTECTION ├── WAF rules (OWASP Core Rule Set) ├── Bot detection and management ├── DDoS protection └── IP reputation filtering 4. AUDIT & COMPLIANCE ├── Request/response logging ├── PII masking ├── Audit trails └── Data retention policies ``` ## Variables - **ORGANIZATION_TYPE**: Company profile (e.g., "fintech startup", "enterprise SaaS", "e-commerce platform") - **TRAFFIC_VOLUME**: Scale (e.g., "10K req/s", "1M req/day", "bursty traffic patterns") - **COMPLIANCE_REQUIREMENTS**: Regulations (e.g., "PCI-DSS", "GDPR", "SOC2", "HIPAA") - **PERFORMANCE_TARGETS**: SLAs (e.g., "p99 latency < 100ms", "99.99% uptime")

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