jBPM Performance Tuning Checklist – Production-Ready Guide
Introduction Performance issues in jBPM rarely come from the engine itself. In real production systems, slow workflows, stuck processes, and high CPU/DB load are almost always caused by: Incorrect BPMN modeling Poor database configuration Misconfigured async execution Long-running service tasks Lack of monitoring and tuning This blog provides a practical, field-tested checklist to tune jBPM for high performance and stability in production . 1️⃣ BPMN Modeling Performance Checklist (Most Important) ✅ Avoid long-running synchronous Service Tasks Problem REST calls, reports, batch jobs executed synchronously Impact Thread blocking Engine slowdown Node instability Fix ✔ Use async Service Tasks ✔ Use WorkItemHandlers ✔ Externalize long work (event-driven) ✅ Prefer Message Events over Signals Problem Signals broadcast to all instances Impact Massive unintended triggers High load spikes Fix ✔ Use Message Events for targete...