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SolrAutoscaler

What is SolrAutoscaler

SolrAutoscaler is a Kubernetes Custom Resource Definitions (CRD). It provides a declarative configuration for autoscaling Solr compute resources and storage of database components in a Kubernetes native way.

SolrAutoscaler CRD Specifications

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

Here, some sample SolrAutoscaler CROs for autoscaling different components of database is given below:

Sample SolrAutoscaler YAML for an Solr combined cluster:

apiVersion: autoscaling.kubedb.com/v1alpha1
kind: SolrAutoscaler
metadata:
  name: sl-as
  namespace: demo
spec:
  databaseRef:
    name: solr-combined
  opsRequestOptions:
    timeout: 3m
    apply: IfReady
  compute:
    node:
      trigger: "On"
      podLifeTimeThreshold: 24h
      minAllowed:
        cpu: 1
        memory: 2Gi
      maxAllowed:
        cpu: 2
        memory: 3Gi
      controlledResources: ["cpu", "memory"]
      containerControlledValues: "RequestsAndLimits"
      resourceDiffPercentage: 10
  storage:
    node:
      expansionMode: "Online"
      trigger: "On"
      usageThreshold: 60
      scalingThreshold: 50

Sample SolrAutoscaler YAML for the Solr topology cluster:

apiVersion: autoscaling.kubedb.com/v1alpha1
kind: SolrAutoscaler
metadata:
  name: sl-as-topology
  namespace: demo
spec:
  databaseRef:
    name: solr-cluster
  compute:
    overseer:
      trigger: "On"
      podLifeTimeThreshold: 24h
      minAllowed:
        cpu: 250m
        memory: 350Mi
      maxAllowed:
        cpu: 1
        memory: 1Gi
      controlledResources: ["cpu", "memory"]
      containerControlledValues: "RequestsAndLimits"
      resourceDiffPercentage: 10
    data:
      trigger: "On"
      podLifeTimeThreshold: 24h
      minAllowed:
        cpu: 250m
        memory: 350Mi
      maxAllowed:
        cpu: 1
        memory: 1Gi
      controlledResources: ["cpu", "memory"]
      containerControlledValues: "RequestsAndLimits"
      resourceDiffPercentage: 10
    coordinator:
      trigger: "On"
      podLifeTimeThreshold: 24h
      minAllowed:
        cpu: 250m
        memory: 350Mi
      maxAllowed:
        cpu: 1
        memory: 1Gi
      controlledResources: ["cpu", "memory"]
      containerControlledValues: "RequestsAndLimits"
      resourceDiffPercentage: 10
  storage:
    data:
      expansionMode: "Online"
      trigger: "On"
      usageThreshold: 60
      scalingThreshold: 50

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

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

spec.databaseRef

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

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

spec.compute

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

• spec.compute.node indicates the desired compute autoscaling configuration for a combined Solr cluster.
• spec.compute.overseer indicates the desired compute autoscaling configuration for overseer nodes.
• spec.compute.data indicates the desired compute autoscaling configuration for data nodes.
• spec.compute.coordinator indicates the desired compute autoscaling configuration for coordinator nodes.

All of them has the following sub-fields:

• trigger indicates if compute autoscaling is enabled for this component of the database. 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.

spec.storage

spec.storage specifies the autoscaling configuration for the storage resources of the database components. This field consists of the following sub-field:

• spec.storage.node indicates the desired storage autoscaling configuration for a combined Solr cluster.
• spec.storage.topology indicates the desired storage autoscaling configuration for different type of nodes running in the Solr topology cluster mode.
• spec.storage.overseer indicates the desired storage autoscaling configuration for the overseer nodes.
• spec.storage.data indicates the desired storage autoscaling configuration for the data nodes.
• spec.storage.coordinator indicates the desired storage autoscaling configuration for the coordinator nodes.

All of them has the following sub-fields:

• trigger indicates if storage autoscaling is enabled for this component of the database. If “On” then storage autoscaling is enabled. If “Off” then storage autoscaling is disabled.
• usageThreshold indicates usage percentage threshold, if the current storage usage exceeds then storage autoscaling will be triggered.
• scalingThreshold indicates the percentage of the current storage that will be scaled.