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OpenYurt is a Cloud Edge solution appropriate to deploy workloads with properties of low latency and big data in edge environments such as Video Analytics, Cloud Gaming, etc. To deploy the workloads in an end-to-end and highly scalable manner, some critical components should be augmented to OpenYurt, which are: 1) Ingress Operator: for dispatching requests to the targeted workloads 2) Application Load Balancer (ALB) Operator: for dispatching requests to the right PODs 3) End-to-End deployment Operator: for user to easily deploy use cases In this presentation Linda and Shaoqiang would describe the details of the components added to OpenYurt, which include extending ingress-nginx controller to OpenYurt Nodepool (OpenYurt's edge), implementing from scratch an Application Load Balancer for Nodepool, and End-to-End deployment operator to facilitate deployment by providing an easy API. A Video Analytics use case is employed as an example workload.
Shaoqiang Chen is a software engineer of Intel. His technical interests include Kubernetes, AI and heterogenous computation. He is working on Video Analytics workloads and their easy and scalable deployment in edge environments such as OpenYurt.
