CCE Advanced HPA

CCE Advanced HPA (cce-hpa-controller) is an in-house add-on, which can be used to flexibly scale in or out Deployments based on metrics such as CPU usage and memory usage.

Main Functions

Scaling can be performed based on the percentage of the current number of pods.
The minimum scaling step can be set.
Different scaling operations can be performed based on the actual metric values.

Constraints

To use CCE Advanced HPA, install an add-on that provides metrics APIs. Select one of the following add-ons based on your cluster version and actual requirements.

Kubernetes Metrics Server: provides basic resource usage metrics, such as container CPU and memory usage. It is supported by all cluster versions.
Cloud Native Cluster Monitoring: Auto scaling based on basic resource metrics. Prometheus needs to be registered as a metrics API. For details, see Providing Resource Metrics Through the Metrics API.

Installing the Add-on

Log in to the CCE console and click the cluster name to access the cluster console. In the navigation pane on the left, choose Add-ons. Locate CCE Advanced HPA on the right and click Install.

On the Install Add-on page, configure the specifications.

**Table 1** CCE Advanced HPA specifications
Parameter	Description
Pods	Number of pods for the add-on. High availability is not possible if there is only one pod. If an error occurs on the node where the pod runs, the add-on will fail.
Containers	CPU and memory quotas of the container allowed for the selected add-on specifications. You can adjust the container specifications of an add-on instance as required.