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Core InfraReplicas Optimization

Replicas Optimization

ScaleOps introduces Predictive Replicas Optimization to enhance the efficiency of your environments by optimizing Horizontal Pod Autoscalers (HPAs). This feature leverages predictive algorithms and metrics to estimate applications metric trigger levels, ensuring that your workloads are running with the right number of replicas.

Automated HPA workloads are optimized with recommended minimum replicas based on HPA metrics history. For predictable workloads, ScaleOps recommends lower minimum replicas and scales ahead of peak periods for optimal performance.

Available Guides

WorkloadsPoliciesReplicas Downscale

Prerequisites & Limitations

  • HPA must be configured on the workload
  • Only Deployment, StatefulSet and Argo Rollout workload types are supported
Pod PlacementWorkloads