Building an Active-Active HA Kubernetes Control Plane Clu... MinJie Huang & WenJie Song, Jiashun Dai
构建一个主动-主动的高可用Kubernetes控制平面集群 | Building an Active-Active HA Kubernetes Control Plane Cluster - MinJie Huang & WenJie Song, DaoCloud; Jiashun Dai, SAIC General Motors
迄今为止,使用Kubernetes管理云原生资源已成为行业共识。作为云原生生态系统中的终端用户,上汽通用汽车自2019年以来一直通过操作员管理传统资源和云原生资源。然而,作为关键的控制平面,Kubernetes本身在多数据中心环境中容易成为单点故障。目前,Kubernetes高可用的最常见行业解决方案是使用单个控制平面管理多个集群,但对于单个控制平面本身仍然没有高可用解决方案。在本次会议中,我们将回顾上汽通用汽车在Kubernetes控制平面中如何管理不同类型的资源,以及如何通过跨集群版本管理机制实现跨双数据中心的双向Kubernetes控制平面集群。
So far, it has been an industry consensus to manage cloud-native resources with Kubernetes. As an end user in the cloud-native ecosystem, SAIC General Motors has been managing both traditional and cloud-native resources by operators since 2019. However, as a critical control plane, Kubernetes itself is prone to be a single point of failure in multi-data-center environments. Currently, the most common industry solution for Kubernetes HA is to manage multiple clusters with a single control plane, and there is still no HA solution for the single control plane itself. In this session, we will review how SAIC General Motors does in a Kubernetes control plane to manage different types of resources and how to implement a bi-directional Kubernetes control plane clusters that across dual data centers by cross-cluster version management mechanisms.
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