Diagnosing API Gateway Failures in Production (Course #gateway-ops-clinic)

Programme every line is something you do

6 modules · 18 topics · in course-flow order

1. Module 1

   Limiters fail open, not closed

   Objective. Measure what a distributed rate limiter actually enforces when its counter store is unavailable, and produce the blast-radius figure for your estate.

   • Compute the failure multiplier: a 100 req/min limit degrades to 100×N when N nodes fall back to local counting
   • Compare local, cluster and Redis-backed counting on one 3-node cluster and record the accuracy each delivers under a 60-second partition
   • Write the client contract for a gateway that does not shed load — retry budget, jitter, and a 429-versus-503 decision table
2. Module 2

   Find the ceiling before production

   Objective. Inventory the published limits a design touches and build the ceiling register that makes each one a deliberate choice.

   • Catalogue the ceilings your design crosses — payload, mapping template, frame size, integration timeout — and mark each hard or quota-raisable
   • Trade one ceiling against another: raising an integration timeout from 29 s toward 300 s can be paid for in account-level throttle quota
   • Review the register at every design change, targeting zero unregistered platform limits at go-live
3. Module 3

   The evidence the gateway withholds

   Objective. Establish what the platform does not record and assemble the missing evidence before the incident that needs it.

   • Prove the gap: log events truncated at 1024 bytes silently drop request and response bodies from the audit trail
   • Separate load indicators from traffic counts — a capacity metric that moves with zero requests is not a request count
   • Stand up the evidence you must own yourself: correlation id, upstream trace and sampled payload store with a 30-day retention target
4. Module 4

   Every hop rewrites the request

   Objective. Diff the request a client sent against the request a backend received, and catalogue every transformation the gateway imposed.

   • Run a 12-case header and query diff across the gateway and record every drop, remap and case-sensitivity change
   • Locate the identity break: an Authorization header dropped under one auth mode reaches the backend under another
   • Write the content-negotiation tests that catch a gateway honouring only the first Accept media type
5. Module 5

   Config that does not travel

   Objective. Replay one policy set across two implementations and document precisely where portability stops.

   • Run the same policy set on two gateways and record which of the 6 failure families diverge
   • Read a conformance claim precisely: it covers one Route-and-Profile combination plus only the extended features the implementation itself claims
   • Gate drift in CI by reconciling declared against running configuration on every merge, failing the build on divergence
6. Module 6

   Plan the exit before the entry

   Objective. Design the migration and rollback path for a gateway estate before the first route is moved.

   • Classify every annotation and policy as translated, implementation-specific, or without equivalent on the target
   • Prove parity before traffic moves, targeting 100% of routes covered by an automated parity check
   • Rehearse the reversal rather than documenting it, inside a 15-minute recovery window

References & Official Documentation every claim above has a source

Module 1

• RFC 6585 — Additional HTTP Status CodesSpecification
• Rate Limiting Advanced pluginMuleSoft Docs

Module 2

• API Gateway integration timeout limit increase beyond 29 secondsMuleSoft Docs

Module 3

• Amazon API Gateway important notesMuleSoft Docs
• Capacity of an Azure API Management instanceMuleSoft Docs

Module 4

• RFC 9110 — HTTP SemanticsSpecification

Module 5

• Gateway API implementationsMuleSoft Docs

Module 6

• Announcing Ingress2Gateway 1.0MuleSoft Docs

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