Troubleshooting & Support for MuleSoft Applications (Course #troubleshooting-support)
For L1/L2 support staff.
By the end, you can
By the end of this course, you will be able to diagnose a Mule 4 production incident — log correlation, thread-dump analysis, DLQ replay — and document fixes that lower measured MTTR (target: −40%).
Running case study
OrbitPay clears card transactions 24×7 on Mule 4 across Runtime Manager; nightly settlement spikes cause thread starvation and Anypoint MQ DLQ backlogs that L1 cannot triage inside the 60-minute MTTR commitment. Support leadership mandates evidence-based runbooks — correlated traces, thread dumps, escalation packets — targeting −40% MTTR and zero repeat escalations per quarter.
Programme every line is something you do
4 modules · 13 topics · in course-flow order
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Module 1
Logs as forensic evidence
Objective. Correlate logs and stack traces across layers into a timeline that pins the failing hop.
- Parse log4j2 layouts and Mule correlationIds to stitch events across System, Process and Experience layers
- Decode stack traces in under 5 minutes: root-cause lines, connector classes, caused-by chains
- Standardize logger output (correlationId, context vars) so any transaction is rebuildable from logs
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Module 2
Failure families, first aid
Objective. Diagnose the recurring runtime failure families and capture each resolution as a runbook entry.
- Triage connectivity faults — timeout vs refused vs TLS handshake — with curl, openssl and port checks
- Explain DataWeave errors from type mismatches and null selectors, then patch without side effects
- Clear deployment failures (artifact size, memory ceilings, missing properties) from Runtime Manager logs
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Module 3
Thread dumps and heap proof
Objective. Capture and interpret thread dumps, heap dumps and dashboards to isolate hangs and memory pressure.
- Trigger thread dumps on a hung worker and spot BLOCKED threads pinning connection pools
- Analyze heap dumps for leak suspects (unclosed streams, growing caches) with Eclipse MAT
- Forward logs centrally (retention target: 30 days) so cross-application searches survive restarts
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Module 4
Escalate with leverage
Objective. Package complete incident evidence into escalation tickets that resolve in one vendor round-trip.
- Assemble an escalation packet — correlationIds, thread dumps, manifest, repro steps — within 15 minutes
- Grade severity against an impact matrix and open MuleSoft Support cases under the right entitlement
- Replay failed messages from Anypoint MQ DLQs after the fix, verifying idempotency before bulk redelivery
- Close every P1 with a blameless RCA within 48 hours; recycle recurring failure modes into automated tests and hardening backlog
References & Official Documentation every claim above has a source
Module 1
- Configuring LoggingMuleSoft Docs
- Configuring Mule Stack TracesMuleSoft Docs
- Correlation IDMuleSoft Docs
Module 2
- Mule ErrorsMuleSoft Docs
- Viewing Log Data for Deployed AppsMuleSoft Docs
Module 3
Module 4
- Configuring and Using QueuesMuleSoft Docs