---
title: "Cluster Autoscaler"
description: "1 posts about Cluster Autoscaler, summarised, each linking to the original."
---

# Cluster Autoscaler
> 1 posts about Cluster Autoscaler, summarised, each linking to the original.

## Articles

### [Comparison of Cluster Autoscaler and KEDA MachineSet Autoscaling on Red Hat OpenShift](https://yomu.fyi/post/comparison-of-cluster-autoscaler-and-keda-machineset-autoscaling-on-re.md)
- Company: [Red Hat](https://yomu.fyi/company/red-hat.md)
- Author: Ramon Gordillo Gutierrez, Jose Ortiz Padilla
- Published: Sep 21, 2026
- Type: Explainer

This article compares two autoscaling approaches for Red Hat OpenShift compute infrastructure: the built-in Cluster Autoscaler and the KEDA-driven MachineSet Autoscaler. The key difference is the trigger mechanism: Cluster Autoscaler reacts to Pending pods, while KEDA scales based on external metrics like PromQL queries. KEDA triggers faster, scaling within about 15 minutes versus 24 minutes for Cluster Autoscaler, because it acts on metric thresholds before pods become unschedulable. Cluster Autoscaler offers built-in scale-down safety and zero configuration, while KEDA provides fine-grained, metric-driven control but requires the Custom Metrics Autoscaler operator. The choice depends on workload predictability, with Cluster Autoscaler suited for general-purpose workloads and KEDA for dedicated pools with predictable metric patterns. The two autoscalers cannot coexist on the same MachineSet, as they would fight over replica counts.