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Scaling

This is an example of how you can use your custom metrics in an EC Deployment. The metrics field is the same as for a normal horizontal pod autoscaler. Read more about autoscaling here: https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough/ .

Note that a target type of “AverageValue” means the average value of all the running pods. Scale happens when the value is above the target averageValue.

Info

This section of the document is written based on creating ECDs with yaml and not via Desktop. There is no out-of-the-box yaml file to create an ECD, so for this method you should create your very first ECD using Desktop and then extract the yaml and edit it as below. Eventually Desktop might include options to set non-CPU based scaling, although in the first releases of version 10 only CPU based scaling is supported by Desktop.

Code Block
autoscale: 
  minReplicas: 1 
  maxReplicas: 3 
  metrics: 
  - type: Pods 
    pods: 
      metric: 
        name: com_digitalroute_wf_Workflow_Pico_Heap_Memory_Used_Percentage 
      target: 
        type: AverageValue 
        averageValue: "3" 
  - type: Pods 
    pods: 
      metric: 
        name: workflows_throughput_avg 
      target: 
        type: AverageValue

        averageValue: "50"

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