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PgpoolAutoscaler

What is PgpoolAutoscaler

PgpoolAutoscaler is a Kubernetes Custom Resource Definitions (CRD). It provides a declarative configuration for autoscaling Pgpool compute resources of Pgpool components in a Kubernetes native way.

PgpoolAutoscaler CRD Specifications

Like any official Kubernetes resource, a PgpoolAutoscaler has TypeMeta, ObjectMeta, Spec and Status sections.

Here, some sample PgpoolAutoscaler CROs for autoscaling different components of pgpool is given below:

Sample PgpoolAutoscaler for pgpool:

apiVersion: autoscaling.kubedb.com/v1alpha1
kind: PgpoolAutoscaler
metadata:
  name: pgpool-auto-scale
  namespace: demo
spec:
  databaseRef:
    name: pgpool
  compute:
    pgpool:
      trigger: "On"
      podLifeTimeThreshold: 24h
      minAllowed:
        cpu: 250m
        memory: 350Mi
      maxAllowed:
        cpu: 1
        memory: 1Gi
      controlledResources: ["cpu", "memory"]
      containerControlledValues: "RequestsAndLimits"
      resourceDiffPercentage: 10

Here, we are going to describe the various sections of a PgpoolAutoscaler crd.

A PgpoolAutoscaler object has the following fields in the spec section.

spec.databaseRef

spec.databaseRef is a required field that point to the Pgpool object for which the autoscaling will be performed. This field consists of the following sub-field:

• spec.databaseRef.name : specifies the name of the Pgpool object.

spec.compute

spec.compute specifies the autoscaling configuration for the compute resources i.e. cpu and memory of Pgpool components. This field consists of the following sub-field:

• trigger indicates if compute autoscaling is enabled for this component of the pgpool. If “On” then compute autoscaling is enabled. If “Off” then compute autoscaling is disabled.
• minAllowed specifies the minimal amount of resources that will be recommended, default is no minimum.
• maxAllowed specifies the maximum amount of resources that will be recommended, default is no maximum.
• controlledResources specifies which type of compute resources (cpu and memory) are allowed for autoscaling. Allowed values are “cpu” and “memory”.
• containerControlledValues specifies which resource values should be controlled. Allowed values are “RequestsAndLimits” and “RequestsOnly”.
• resourceDiffPercentage specifies the minimum resource difference between recommended value and the current value in percentage. If the difference percentage is greater than this value than autoscaling will be triggered.
• podLifeTimeThreshold specifies the minimum pod lifetime of at least one of the pods before triggering autoscaling.