Prompt

Should I put API gateway policies at the edge or inside each service?

Technology / API Platforms1 observationLast seen Oct 6, 2026

Latest observation

Oct 6, 2026OpenAI APIWeb search: off

Usually: put cross-cutting API gateway policies at the edge, and put service-specific enforcement inside each service.

Good candidates for the edge (API gateway)

Use the gateway for things that are uniform across many services and benefit from central control:

  • Authentication / token validation
  • Basic authorization checks, if they’re coarse-grained
  • Rate limiting / throttling / quotas
  • Request size limits
  • IP allow/deny lists
  • TLS termination
  • Routing, versioning, and path-based traffic shaping
  • Logging, correlation IDs, and basic observability
  • Caching for safe, read-heavy endpoints

Good candidates inside each service

Put enforcement inside services for things that are domain-specific or must be authoritative:

  • Fine-grained authorization
  • Business rules and validation
  • Ownership checks and tenant boundaries
  • Data-level access control
  • Idempotency handling
  • Audit logic tied to the domain
  • Anything that must still hold if the gateway is bypassed

Why not only at the gateway?

Because the gateway is an entry point, not a trust boundary you should rely on exclusively. Internal calls, misconfigurations, direct service access, or future architecture changes can bypass it. If a rule is important to correctness or security, enforce it again in the service.

Practical rule of thumb

  • Gateway = perimeter policy
  • Service = domain policy
  • If a policy protects the business, verify it in the service
  • If a policy protects the platform, centralize it at the gateway

Example

If you have “only premium users can export reports”:

  • Gateway can block obviously unauthenticated or over-quota requests.
  • The report service must still check whether the user actually has premium access.

Recommended approach

A layered model works best:

  1. Gateway handles common, reusable controls.
  2. Services enforce the rules they own.
  3. Optional shared policy libraries or policy engines help keep logic consistent.

If you want, I can also give you a decision matrix for specific policies like auth, rate limiting, tenant isolation, and schema validation.

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