Horizontal Pod Autoscalers view#
Kubernetes HorizontalPodAutoscalers (HPA) are an essential component for automatically managing the number of pod replicas within a deployment or replica set. HPA leverages observed metrics, such as CPU utilization or custom metrics, to dynamically scale the number of pods, ensuring your applications can efficiently handle varying workloads. See Kubernetes documentation: Horizontal Pod Autoscaling for details.
The Horizontal Pod Autoscalers table lists the cluster HPAs. You can click the list items and open the details panel with comprehensive information and various options. The Namespace drop-down list filters the cluster objects by namespaces. You can also search for a specific item using the Search Horizontal Pod Autoscalers input field.
You can resize and reorder the table columns. Drag the column border in the table header to change the width. To change the column position, drag its header left or right. Also, you can sort objects in ascending or descending order by clicking the header of a column and configure the column visibility. By default, the table consists of the following columns:
Note
The table content can be exported in the CSV file format.
| Column | Description |
|---|---|
| Name | The name of the HPA. |
| Namespace | The namespace where the HPA is defined. |
| Metrics | Metrics used for autoscaling, such as CPU utilization. |
| Min Pods | The minimum number of pods that the HPA can scale down to. |
| Max Pods | The maximum number of pods that the HPA can scale up to. |
| Replicas | The current number of pod replicas. |
| Age | The age of the HPA. |
| Status | The current status of the HPA. |
| More Actions | Clicking on the button opens a drop-down list with the following actions:
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