Horizontal Pod Autoscaler v1

This page describes the Kubernetes HPA v1 component type. The reference documentation for this HPA can be found here.

Metrics

Name	Unit	Description
k8s_hpa_min_replicas	pods	The lower limit for the number of replicas to which the autoscaler can scale down.
k8s_hpa_max_replicas	pods	The upper limit for the number of replicas to which the autoscaler can scale up.
k8s_desired_replicas	pods	Desired number of replicas of pods managed by this autoscaler, as last calculated by the autoscaler.
k8s_current_replicas	pods	Current number of replicas of pods managed by this autoscaler, as last seen by the autoscaler.

Parameters

Parameter	Type	Unit	Default	Domain	Restart	Description
min_replicas	integer	pods	You should select your own default value.	You should select your own domain.	yes	The lower limit for the number of replicas to which the autoscaler can scale down. min_replicas is allowed to be 0 if the alpha feature gate HPAScaleToZero is enabled and at least one Object or External metric is configured. Scaling is active as long as at least one metric value is available.
max_replicas	integer	pods	You should select your own default value.	You should select your own domain.	yes	The upper limit for the number of replicas to which the autoscaler can scale up. It cannot be less that min_replicas.
targetCPUUtilizationPercentage	integer	percentage	You should select your own default value.	1 - 100	yes	The target average CPU utilization (represented as a percentage of the requested CPU) over all the pods in the autoscaled deployment.

Constraints

The following tables show a list of constraints that may be required in the definition of the study, depending on the tuned parameters:

Formula	Notes
component_name.min_replicas < component_name.max_replicas	Min replicas must be lower than max replicas