Introducing the Flowable Process Engines
summary
Open-source Flowable provides BPMN, CMMN and DMN Java engines and the demo shows an end-to-end pipeline: process instances are generated, Flowable emits asynchronous history JSON to RabbitMQ, a Spring listener indexes variables into Elasticsearch, Spark MLlib trains decision-tree models and the flattened rules are stored in a relational DB and pushed back as DMN tables at runtime. The live demo auto-replaces a user task with a decision table and yields simple rules like Belgian → accept and non‑Belgian & <30 → reject, proving the loop works.
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chapters (12)
- 0:00Intro
- 0:41What is Flowable?
- 3:17Why Flowable?
- 13:47Truly Adaptive and Dynamic BPM
- 15:12Machine Learning:The BPM lifecycle
- 17:24Why a perfect fit
- 18:07Demo architecture
- 20:19Embedded Process Engines
- 21:07Process Service
- 30:07Listener Service
- 34:19Part 3: Phases of ML
- 45:03Remember...
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