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JMX, FAQ, Troubleshooting, Common Questions JMX, FAQ, troubleshooting, common questions 8. How do I correlate JVM heap spikes with application behavior?

8. How do I correlate JVM heap spikes with application behavior?

8. How do I correlate JVM heap spikes with application behavior?

Cross-reference with application logging:

  1. Nodinite JMX alert fires: "Heap usage 94%, Warning threshold reached, timestamp 2:15 PM"
  2. Check application logs: Search [Log Views][] for same timeframe (2:10 PM - 2:20 PM), filter by application "Spring Boot Payment Service"
  3. Identify correlation: Logs show "Processing bulk payment batch, 15,000 payments, started 2:10 PM", heap spike correlates with batch processing
  4. Root cause: Batch job loads 15K payment objects into memory simultaneously (heap spike expected during batch), heap returns to baseline after batch completes (2:25 PM, heap drops to 68%)

For Boomi Atoms: Correlate with [Boomi Logging][] (if available). Heap spike at 3:45 PM → Check Boomi process executions 3:40-3:50 PM → Identify "Invoice EDI Transformation" process executed 847 times (batch of invoices), each transformation allocates 4 MB heap (847 × 4 MB = 3.4 GB spike). Tune Boomi process: reduce batch size from 847 to 100 invoices per batch, spread heap allocation over time.

Power BI dashboard integration: Export JMX heap metrics + application log event counts to Power BI. Create chart overlaying heap usage (line chart) + log event count (bar chart) + GC frequency (second Y-axis). Visual correlation: heap spike 2 PM coincides with 10× log event spike (batch processing), GC frequency increases 5× during spike, returns to baseline after batch completes.

See all FAQs: [Troubleshooting Overview][]