MuleSoft and integration, explained properly
Deep, original guides on MuleSoft certification and integration concepts: error handling, correlation IDs, sync vs async, retries, and more.
- VM connector vs Anypoint MQ: in-app queues vs a shared broker
VM connector vs Anypoint MQ: when an in-app VM queue is enough and when you need a cross-application broker. Transient vs persistent, plus how JMS fits.
- RAML vs OAS: comparing API specification languages in MuleSoft
RAML vs OAS, compared. Why MuleSoft uses RAML, how OpenAPI differs, and which API specification language to read for the Developer I exam.
- MuleSoft batch processing: phases, aggregator, and watermarking
How MuleSoft batch processing works: the three batch job phases, the Batch Aggregator, and watermarking with polling for reliable, restartable loads.
- Flow vs subflow in MuleSoft: error handling, processing strategy, and when to reach for each
Flow vs subflow in MuleSoft comes down to error handling and processing strategy. A decision guide to flows, subflows, private flows, and flow-ref.
- DataWeave tutorial: the core functions every MuleSoft exam tests
A DataWeave 2.0 tutorial for the MuleSoft exams: script structure, Transform Message, and worked map, filter, reduce, and groupBy examples.
- API-led connectivity explained: System, Process, and Experience APIs
API-led connectivity is MuleSoft's three-layer model. Learn what System, Process, and Experience APIs are and how they form an application network.
- Sync, async, or callback? Choosing the right integration style for slow systems
Does the caller need the answer before continuing? A decision guide to request/reply, fire-and-forget, and the 202-Accepted polling pattern.
- MuleSoft Platform Architect vs Integration Architect: which certification should you get?
MuleSoft Platform Architect vs Integration Architect (MCPA vs MCIA): a role-fit guide to which architect certification matches your work and career path.
- Continue or propagate? How Mule 4 error handling decides success vs failure
On Error Continue marks an event handled; On Error Propagate re-throws. See how that one difference decides success, rollback, and retries in Mule 4.
- MCD Level 1 vs Level 2: what MuleSoft Developer II adds over Developer I
MCD Level 1 vs Level 2 compared: the exact difference between MuleSoft Developer I and Developer II, the new domains Level 2 adds, and how to close the gap.
- The idempotent consumer pattern: designing for at-least-once delivery
At-least-once delivery makes duplicates inevitable. Build an idempotent consumer that dedupes by event id so redelivery never double-processes.
- Correlation IDs done right: tracing a request across every MuleSoft API
Propagate one correlation ID across System, Process, and Experience APIs so a single request is traceable through every hop and log line.
- Circuit breaker vs retry: when to retry, when to stop trying
Retry handles transient hiccups; a circuit breaker handles outages. Learn when retrying helps and when it turns your clients into a self-inflicted DoS.