Help Center/ Cloud Container Engine/ User Guide (Paris Regions)/ Add-ons/ Kubernetes Metrics Server
Updated on 2024-01-26 GMT+08:00
View PDF
Share

Kubernetes Metrics Server

From version 1.8 onwards, Kubernetes provides resource usage metrics, such as the container CPU and memory usage, through the Metrics API. These metrics can be directly accessed by users (for example, by using the kubectl top command) or used by controllers (for example, Horizontal Pod Autoscaler) in a cluster for decision-making. The specific component is metrics-server, which is used to substitute for heapster for providing the similar functions. heapster has been gradually abandoned since v1.11.

metrics-server is an aggregator for monitoring data of core cluster resources. You can quickly install this add-on on the CCE console.

After metrics-server is installed, you can create an HPA policy on the Workload Scaling tab page of the Auto Scaling page. For details, see HPA.

The official community project and documentation are available at https://github.com/kubernetes-sigs/metrics-server.

Installing the Add-on

  1. Log in to the CCE console and click the cluster name to access the cluster console. Choose Add-ons in the navigation pane, locate Kubernetes Metrics Server on the right, and click Install.
  2. On the Install Add-on page, configure the specifications.

    Table 1 Add-on configuration

    Parameter

    Description

    Add-on Specifications

    Select Single, Custom, or HA for Add-on Specifications.

    Pods

    Number of pods that will be created to match the selected add-on specifications.

    If you select Custom, you can adjust the number of pods as required.

    Multi-AZ
    • Preferred: Deployment pods of the add-on will be preferentially scheduled to nodes in different AZs. If all the nodes in the cluster are deployed in the same AZ, the pods will be scheduled to that AZ.
    • Required: Deployment pods of the add-on will be forcibly scheduled to nodes in different AZs. If there are fewer AZs than pods, the extra pods will fail to run.

    Containers

    CPU and memory quotas of the container allowed for the selected add-on specifications.

    If you select Custom, you can adjust the container specifications as required.

  3. Click Install.

Components

Table 2 metrics-server components

Container Component

Description

Resource Type

metrics-server

Aggregator for the monitored data of cluster core resources, which is used to collect and aggregate resource usage metrics obtained through the Metrics API in the cluster

Deployment
Parent topic: Add-ons