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API Gateway Patterns Cheat Sheet

API Gateway Patterns Cheat Sheet

Architectural patterns for API gateways covering routing, rate limiting, authentication, and request aggregation.

2 PagesIntermediateJan 25, 2026

Common Gateway Responsibilities

Cross-cutting concerns typically centralized in an API gateway.

  • Routing- Directs requests to the correct backend service by path, host, or header
  • Authentication/Authorization- Validates API keys, JWTs, or OAuth tokens before forwarding requests
  • Rate limiting / throttling- Enforces per-client request quotas to protect backends
  • Request/response transformation- Rewrites headers, bodies, or protocols (e.g. REST to gRPC)
  • Observability- Centralizes access logs, tracing, and metrics for all API traffic

Kong Route + Rate Limiting Plugin

Declarative Kong config defining a service, route, and rate-limit plugin.

yaml
services:  - name: users-service    url: http://users.internal:8080    routes:      - name: users-route        paths:          - /api/users    plugins:      - name: rate-limiting        config:          minute: 100          policy: local

JWT Validation at the Gateway

Example gateway-level auth config validating a bearer JWT before proxying.

yaml
plugins:  - name: jwt    config:      claims_to_verify:        - exp      key_claim_name: iss      secret_is_base64: false

API Gateway Design Patterns

Higher-level architectural patterns built on top of a gateway.

  • BFF (Backend for Frontend)- A dedicated gateway per client type (web, mobile) tailored to its needs
  • Aggregation- Gateway fans out to multiple services and composes a single response
  • Circuit breaking- Gateway stops forwarding to a failing backend after a failure threshold, failing fast
  • Canary/blue-green routing- Gateway shifts traffic percentages between backend versions

Advanced Gateway Concerns

Cross-cutting problems that show up once a gateway is handling real production traffic at scale.

  • Idempotency keys- Gateway or backend deduplicates retried POST/PUT requests using a client-supplied key to avoid double side effects
  • Response caching- Gateway caches GET responses by cache-control/vary headers to shed load from backends
  • Protocol translation- Gateway exposes REST/JSON externally while transcoding to gRPC internally, or vice versa
  • Header propagation- Forwards trace IDs (e.g. traceparent) and correlation IDs so requests are traceable across the fan-out
  • Strangler fig migration- Gateway routes a slice of paths to a new service while legacy paths still hit the monolith, enabling incremental rewrites
  • Gateway vs. mesh sidecar- Edge gateway handles north-south (client-to-cluster) traffic; a service mesh sidecar handles east-west (service-to-service) traffic — they solve different problems and are often layered together
  • Schema/contract validation- Gateway rejects malformed requests against an OpenAPI/JSON-Schema spec before they reach a backend

Envoy Gateway Route with Retry Policy

Envoy route config applying exponential-backoff retries and a per-try timeout at the edge, distinct from application-level retries.

yaml
routes:  - match:      prefix: "/api/orders"    route:      cluster: orders-service      timeout: 2s      retry_policy:        retry_on: "5xx,reset,connect-failure"        num_retries: 3        per_try_timeout: 0.5s        retry_back_off:          base_interval: 0.1s          max_interval: 1s

OAuth2 Token Introspection Plugin

Gateway validates opaque OAuth2 access tokens against an authorization server's introspection endpoint (RFC 7662) instead of a locally verifiable JWT.

yaml
plugins:  - name: oauth2-introspection    config:      introspection_url: https://auth.example.com/oauth2/introspect      client_id: gateway-client      client_secret: ${OAUTH_INTROSPECT_SECRET}      token_type_hint: access_token      ttl: 30           # cache introspection result for 30s to cut latency      cache_size: 10000      required_scopes:        - orders:read

gRPC-JSON Transcoding at the Edge

Envoy filter that lets external REST/JSON clients call an internal gRPC service without either side knowing about the other's protocol.

yaml
http_filters:  - name: envoy.filters.http.grpc_json_transcoder    typed_config:      "@type": type.googleapis.com/envoy.extensions.filters.http.grpc_json_transcoder.v3.GrpcJsonTranscoder      proto_descriptor: "/etc/envoy/proto.pb"      services: ["orders.v1.OrdersService"]      print_options:        add_whitespace: true        always_print_primitive_fields: true

Response Aggregation (API Composition)

A gateway-layer BFF endpoint fans out to two backends in parallel and composes a single response, hiding the fan-out from the client.

javascript
// GET /bff/order-summary/:idapp.get('/bff/order-summary/:id', async (req, res) => {  const { id } = req.params;  try {    const [order, shipment] = await Promise.all([      fetchWithTimeout(`http://orders-svc/orders/${id}`, 800),      fetchWithTimeout(`http://shipping-svc/shipments?orderId=${id}`, 800),    ]);    res.json({      order,      // degrade gracefully instead of failing the whole response      shipment: shipment ?? { status: 'unavailable' },    });  } catch (err) {    res.status(502).json({ error: 'upstream_unavailable' });  }});
Pro Tip

Keep the gateway thin on business logic — it should handle cross-cutting concerns (auth, rate limiting, routing) only, otherwise it becomes a shared bottleneck that every team must coordinate through to ship.

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