Which SLIs/SLOs are relevant for Cluster Autoscaler?

When monitoring the performance of a Cluster Autoscaler, specific Service Level Indicators (SLIs) and Service Level Objectives (SLOs) are crucial. Here are several relevant SLIs/SLOs:

  • Scale-Up Time: Measure the time taken to add new nodes to the cluster after a scale-up event is triggered.
  • Scale-Down Time: Measure the time required to remove nodes from the cluster after a scale-down decision is made.
  • Resource Utilization: Percentage of resource usage (CPU/Mem) against the limits set, to evaluate efficiency.
  • Successful Scale Actions: The ratio of successful scale-up/scale-down actions compared to total scale actions attempted.

Establishing clear SLOs alongside these SLIs helps ensure the autoscaler maintains operational efficiency.

// Example pseudocode for monitoring Cluster Autoscaler performance function calculateScaleUpTime(startTime, endTime) { return endTime - startTime; // returns duration in seconds } function calculateUtilization(resourceUsage, resourceLimit) { return (resourceUsage / resourceLimit) * 100; // returns percentage }

Cluster Autoscaler SLIs SLOs Scale-Up Time Scale-Down Time Resource Utilization Successful Scale Actions

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