Session

Building Ultra-Large-Scale Cloud-Native Edge Systems Using Chaos Engineering

Fast growing technologies, such as 5G networks, industrial Internet, and AI, are giving edge computing an important role in driving digital transformation. As each new technology brings benefits, it brings challenges. First, there are massive heterogeneous edge devices and it encompass a broad range of device types. Second, Edge devices are often located in unstable and complex physical and network environments, such as limited bandwidth, high latency, etc. How to overcome these challenges and build a stable, large-scale edge computing platform needs to be resolved.
KubeEdge is an open source edge computing framework that extends the power of kubernetes from central cloud to edge. Now, Kubernetes clusters powered by KubeEdge, can stably support 100,000 edge nodes and manage more than one million pods.
In this session, we will share the Key challenges of manage massive heterogeneous edge nodes and tell how using ChaosMesh to makes KubeEdge more Reliable in large-scale edge nodes.

yue li

Quality Engineering, DevOps, kubeedge sig-testing chair, Kubernetes member, DaoCloud

Shanghai, China

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