What the integration estate actually does, before you decide what to do with it
MuleSoft
RabbitMQ
PostgreSQL
KubernetesThe team got a dependency map and a reliability-ranked backlog, and immediately fixed the silent-failure applications regardless of the longer-term platform decision.
Overview
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.
Challenge
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.
Environment
MuleSoft applications across CloudHub and on-premises runtimes, integrating clinical and administrative systems with HL7 and REST interfaces.
Approach
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.
Solution
- 1Built a complete inventory of applications, APIs, connectors, and runtime placement
- 2Mapped actual inter-API call paths and flagged deviations from the intended layering
- 3Scored each application on error handling, retry safety, idempotency, and observability
- 4Identified duplicated integration logic that should be consolidated into reusable APIs
- 5Flagged applications with silent failure modes as immediate remediation candidates
- 6Delivered a prioritized backlog usable for either platform investment or migration planning
Outcome
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.
Technologies
MuleSoftRabbitMQPostgreSQLKubernetesRelated Use Cases
MuleSoft Migration and Licensing Cost Consulting
An honest evaluation of which MuleSoft integrations justify their licensing cost, and a staged migration path for the ones that do not.
MuleSoft Streaming Strategy and OOM Remediation
Resolving out-of-memory failures in a Mule application that buffered entire multi-hundred-megabyte payloads because no repeatable streaming strategy was configured.
Ready for a MuleSoft Health Check?
AceMQ's senior MuleSoft engineers have handled this exact type of engagement before. Whether you need architectural guidance, hands-on remediation, or an ongoing managed partnership, we're ready to help.