Accelerating Data Processing and Consumption for Building Modern Apps at the Edge
Talkat Kubernetes on Edge Day North America 2022 · on Tuesday, 2022-10-25· at 11:10· Room 250 ABC, Huntington Place: 1 Washington Blvd·
summary
Claims that an open source edge data platform using RabbitMQ, Apache Geode and spring cloud data flow plus K-native lets apps do AI/ML inferencing locally, consolidate event streams, and drastically cut upstream bandwidth by filtering correlated events. Shows a working prototype: conveyor-diverter logistics and fridge-sensor retail demos where streams are deployed to edge nodes, rules run in Spring apps, only actionable alerts replicate to the cloud, and dashboards update in real time. Deployment succeeds and event ordering and selective sync are demonstrated.
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chapters (9)
- 0:00Introduction
- 1:27Edge computing for retail
- 3:10Retail and manufacturing at edge
- 5:59Data problem in retail workflows
- 8:49Five edge developer challenges
- 13:23Open source for edge apps
- 17:57Future analytics use cases
- 19:21Retail demo setup
- 24:49Q&A
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