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autoscaling.md

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Autoscaling

Kubernetes' Horizontal Pod Autoscaler (HPA) automatically scales the number of pods in a replication controller, deployment, replica set or stateful set based on observed CPU utilization.

Presto Operator uses HPA to scale up and down Presto workers in the presto cluster based on the CPU utilization.

With autoscaling, initially the spec.worker.count number of workers are created. Based on spec.worker.autoscaling.targetCPUUtilizationPercentage, the workers are scaled up and down. The minium number of workers to which it scales down is spec.worker.autoscaling.minReplicas. The maximum number of workers to which it scales up is spec.worker.autoscaling.maxReplicas.

A sample snippet of the Presto YAML.

apiVersion: prestodb.io/v1alpha1
kind: Presto
metadata:
  name: mycluster
spec:
 worker:
    memoryLimit: "1Gi"
    count: 1
    autoscaling:
      enabled: false
      minReplicas: 2
      maxReplicas: 3
      targetCPUUtilizationPercentage: 20