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Scale Openshift

What does it do?

The Scale Openshift functionality allows a user to scale their environment to a provided size and obtain the time it takes for the scaling procedure. This data will also be indexed if Elasticsearch information is provided.

Variables

The scale workload takes the following required variables:

scale the target number of workers to scale to.

Optional variables:

poll_interval how long, in seconds, to wait between polls to see if the scaling is complete. default: 5

post_sleep how long, in seconds, to wait after the scaling is complete before marking the pod as complete. default: 0

label a dictionary consisting of 'key' and 'value'. If provided it will require to launch the node with matching key and value

tolerations a dictionary consisting of a 'key', 'value' and 'effect'. If provided it will add a toleration for the matching key/value/effect

runtime_class If this is set, the benchmark-operator will apply the runtime_class to the podSpec runtimeClassName.

annotations If this is set, the benchmark-operator will set the specified annotations on the pods' metadata.

rosa For clusters installed using ROSA. Following parameters will be required:

rosa.cluster_name Name of cluster as it is shown on rosa list clusters command

rosa.env ROSA environment where cluster is installed.

rosa.token ROSA token required to execute commands

aws AWS credentials required by ROSA cli to execute scalation commands

aws.access_key_id Exported as AWS_ACCESS_KEY_ID

aws.secret_access_key Exported as AWS_SECRET_ACCESS_KEY

aws.default_region Exported as AWS_DEFAULT_REGION

Your resource file may look like this when using all avaible options:

apiVersion: ripsaw.cloudbulldozer.io/v1alpha1
kind: Benchmark
metadata:
  name: scale
  namespace: benchmark-operator
spec:
  elasticsearch:
    url: "http://es-instance.com:9200"
    index_name: ripsaw-scale
  workload:
    name: scale_openshift
    args:
      scale: 25
      poll_interval: 2
      post_sleep: 300
      label:
        key: node-role.kubernetes.io/workload
        value: ""
      tolerations:
        key: role
        value: workload
        effect: NoSchedule
      rosa:
        cluster_name: rosa-test-01
        env: staging
        token: "xxxx"
      aws:
        access_key_id: XXXXX
        secret_access_key: XXXXXX
        default_region: us-west-2

NOTE: If the cluster is already at the desired scale the timings will still be captured and uploaded to Elasticsearch (if provided). The overall time will simply be the time it took the scale process to confirm that the cluster is at the correct scale.