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Multi-cluster support in Kubernetes becomes more and more important for application efficiency, better resource utilization and breaking the geographic boundary. While existing open source projects like Karmada, Tensile-Kube, Liqo, Admiralty, and more have addressed challenges in multi-cluster management such as configuration, lifecycle management, they either introduce new APIs/management workflows or have scalability limitations in terms of scheduling throughput. In this talk, a new Clusterless design is introduced to reduce the management burden of multi-cluster users. Basically, multiple clusters are abstracted as Pod resource providers, connecting to a management cluster which is exposed to the users. There are no new APIs introduced hence the consistent user experiences are preserved. The Pod dispatching is done by a highly efficient two-level scheduling algorithm which can achieve O(n) scheduling throughput, where n is the number of managed clusters.
Chris is a Software Engineer & Developer Advocate ay Apple with a focus on Kubernetes, open source and cloud-native technologies.Chris helps to maintain multiple open source projects such as the AWS Service Operator and the AWS IAM Authenticator. Prior to Apple, Chris worked for a... Read More →
Fei Guo is currently a senior staff engineer in Alibaba Container Platform Group. He worked on various projects in the areas of workload automation, multitenancy, scheduling and edge computing in Kubernetes.
