Prompt

How do I enforce auth and rate limits across all my APIs from one place?

Technology / API Platforms1 observationLast seen Oct 6, 2026

Latest observation

Oct 6, 2026OpenAI APIWeb search: off

Use an API gateway or API management platform as the central enforcement point.

What it gives you

Put a gateway in front of all your services so it can handle, in one place:

  • Authentication: verify JWTs, API keys, OAuth tokens, mTLS, etc.
  • Authorization: route based on roles/scopes/claims
  • Rate limiting / quotas: per user, per key, per IP, per route, per tenant
  • IP allow/deny lists
  • Request validation / transformation
  • Logging / metrics / tracing
  • CORS / TLS termination

Typical setup

Clients → API Gateway → backend services

The gateway becomes the single policy enforcement layer, so each service doesn’t need to reimplement the same auth and throttling logic.

Common options

  • Open source: Kong, Tyk, KrakenD, Envoy, Traefik, NGINX
  • Cloud-managed: AWS API Gateway, Azure API Management, Apigee, Cloudflare API Gateway
  • Service mesh (internal traffic): Istio, Linkerd, Consul, Envoy-based meshes

Recommended approach

  • Use the gateway for edge APIs exposed to clients.
  • Use a service mesh or internal gateway for service-to-service controls if needed.
  • Keep business authorization in the app where it depends on domain rules; use the gateway for coarse-grained enforcement.

Example policy model

  • Require a valid JWT on every request
  • Rate limit:
    • 100 req/min per API key
    • 1,000 req/min per tenant
    • stricter limits on /login and /otp
  • Block unknown IP ranges
  • Add audit logs and correlation IDs

Important caveat

A gateway is great for centralized enforcement, but don’t rely on it for everything:

  • Keep sensitive authorization checks in services too
  • Don’t make the gateway a single point of failure without redundancy
  • Cache carefully and design for failover

If you want, I can recommend the best option for your stack (AWS, Kubernetes, .NET, Node, Python, etc.) and sketch a concrete setup.

Observation history

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