tencent cloud


Cluster Scaling

Last updated: 2022-06-27 11:17:59


    This document describes how to manually or automatically scale a cluster to meet the resource requirements of the applications. You can scale a cluster in one of the following ways:


    1. You have logged in to the TKE console.
    2. You have created a cluster.


    Manually adding/removing a node

    To scale out a cluster, you can manually add a node by creating a node or adding an existing node. To scale in a cluster, you can remove a node.

    Creating a node

    When creating a node, you can configure a new CVM on the Create Node page for cluster scale-out.
    For details, see Adding a Node.

    Adding an existing node


    • Currently, you can only add CVMs in the same VPC.
    • If you choose to add an existing node to the cluster, the operating system of the CVM will be reinstalled according to your settings.
    • If you choose to add an existing node to the cluster, the project of the CVM will be migrated to the project set for the cluster.
    • When adding a node with only one data disk to the cluster, you can choose to set the related parameters of data disk mounting.

    When adding a node, you can select and configure the CVM you want to add to the cluster on the Add Existing Node page.
    For details, see Adding a Node > Adding an Existing Node.

    Removing a node

    For directions on how to scale in a cluster, see Removing a Node.

    Automatically adding/removing a node via auto scaling

    Auto scaling relies on the community component Cluster Autoscaler (CA), which can dynamically adjust the number of nodes in a cluster to meet your resource requirements. For details on auto scaling, see Node Pool Overview.

    Scaling out via supernode

    Supernode is a kind of scheduling capability. It supports scheduling the Pods in a standard Kubernetes cluster to a supernode that does not occupy the cluster server resource to implement dynamic scaling out when resources are insufficient. For more information, see supernode Overview.


    For issues related to scaling, see Auto-scaling Related.

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