Both investing further in MuleSoft and migrating off it require the same first step: knowing what is actually running, what it depends on, and where the reliability gaps are. Most estates cannot answer that from documentation.
The integration team could not produce a reliable dependency map. Error handling varied by application — some had dead-letter handling, some retried indefinitely, some dropped failures silently. API-led layering had been adopted nominally, but system, process, and experience APIs called each other in patterns that did not match the intended architecture.
MuleSoft applications across CloudHub and on-premises runtimes, integrating clinical and administrative systems with HL7 and REST interfaces.
AceMQ inventoried applications, APIs, and connector usage from deployment metadata and application source, then mapped actual call paths against the intended API-led layering. Reliability was scored per application on error handling, idempotency, and observability, producing a ranked backlog.
The team got a dependency map and a reliability-ranked backlog, and immediately fixed the silent-failure applications regardless of the longer-term platform decision.
An honest evaluation of which MuleSoft integrations justify their licensing cost, and a staged migration path for the ones that do not.
Resolving out-of-memory failures in a Mule application that buffered entire multi-hundred-megabyte payloads because no repeatable streaming strategy was configured.
Whether you need architecture advisory, 24/7 support, or full managed services, AceMQ has the expertise to help.