Extending OpenYurt for End-to-End Deployment of Video Analytics Workloads
Talkat KubeCon + CloudNativeCon + Open Source Summit China 2021 · on Thursday, 2021-12-09· at 12:10· Kubecon + CloudNativeCon 演讲厅, 虚拟会议 (Virtual)·
summary
This talk explains how OpenYurt is extended to support end-to-end, scalable deployment of video analytics workloads by adding three components: an Ingress Operator (extending ingress-nginx to OpenYurt Nodepool), a custom Application Load Balancer operator implemented from scratch for Nodepool to route requests to the correct Pods, and an End-to-End deployment operator that exposes a simple API for deploying use cases.
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chapters (8)
- 0:00Intro
- 1:00Video analytics pipeline
- 2:25Video analytics container
- 4:04Open Yurt - extending native Kubernetes* to the edge
- 5:46Video analytics in Open Yurt* scenario
- 7:34Extend Open Yurt* to support end-to-end deployment
- 8:30NodePool ingress controller
- 10:11Dynamic load balancer
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