Shanghai, China
June 24–26, 2019
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Tuesday, June 25 • 14:20 - 14:55
Understanding Scalability and Performance in the Kubernetes Master - Xingyu Chen & Fansong Zeng, Alibaba

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Currently, the scale limit of Kubernetes is 5k nodes, so if you want to use it to manage a web-scale cluster like 10k nodes, you probably can't make it.

Have you wondered what is the performance bottleneck for Kubernetes to manage more than 5k nodes? When you want to expand its scalability to a new level, who's to "blame" first? Etcd, apiserver, or scheduler?

Understanding these questions is the key to operate a large-size kubernetes cluster. In Alibaba, we encountered many issues like pod creation gets extremely slower as the cluster grows to larger and larger. In this talk, we would like to share how we did various benchmark tests and profiling. And how we did tweaks/tunings on the master and achieved more than 100x performance improvement in the master. Currently, operating a 10K-node kubernetes cluster is just as smooth as a 2k-node one.

avatar for Fansong Zeng

Fansong Zeng

Staff Engineer, Alibaba
Zeng is a tech leader at the schedule team in Alibaba scheduling systems department, he has rich experience of cluster resource management system,especially running mixed workloads in a cluster.
avatar for Xingyu Chen

Xingyu Chen

software engineer, Alibaba
Xingyu Chen is from Alibaba Cloud who works in the infrastructure team which is responsible for managing the super-large computing resources in the Alibaba.He starts to contribute to Kubernetes since its beginning. His main interest is on the performance and scalability of Kubern... Read More →

Tuesday June 25, 2019 14:20 - 14:55 CST