Jakarta EE: Connected Industries with an Edge
summary
Claim: a Jakarta EE edge controller ingests high-frequency robot telemetry, buffers it, and forwards selected batches to cloud analytics while surviving heavy load. Demo uses a Java Jakarta EE11 server from Pyra with Prometheus + Grafana via Docker Compose, MQTT connector, a data generator and a data miner, and shows ~82,000 datapoints processed and memory ~0.5 GB after overnight run. Virtual threads and managed executor service enable 300 robots at 30 ms and sustain ~100 real‑time robots on a laptop, proving the design works.
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chapters (14)
- 0:00Introduction to Jakarta EE
- 1:28Smart factories and robots
- 8:39Edge computing explained
- 13:59Jakarta EE server benefits
- 22:35Jakarta EE specifications
- 26:52Demo setup overview
- 31:13Live demo start
- 35:11Running 30 robots simulation
- 40:59Thread pool configuration
- 42:49Scaling to 300 robots
- 44:59Code example walkthrough
- 51:35Virtual threads benefits
- 54:04Choosing Jakarta EE servers
- 58:21Conclusion and Q&A
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