Wave Autoscale 2.5.0 Release
Author: Hwansoo Kim (opens in a new tab)
Date: May 13, 2025
Wave Autoscale 2.5.0 introduces cluster-wide resource reporting, HPA migration support, and multiple usability enhancements. This release strengthens the platformβs ability to help teams visualize infrastructure load, reduce manual transitions, and operate more efficiently at scale.
π Cluster Report (New Feature)
You can now generate a comprehensive cluster-wide usage report for any selected time range.
Key capabilities include:
- Total CPU & memory usage across all nodes
- Aggregated Pod Request and Limit for CPU & memory
- Visual comparison chart for Node vs Request vs Limit
- Time-series view of collected resource data
This helps SREs and platform teams understand overcommit ratios, workload pressure, and optimize resource provisioning with full visibility.
π Load from HPA (HPA Migration Tool)
Seamlessly migrate workloads from existing Horizontal Pod Autoscaler (HPA) settings into Wave Autoscale Autopilot.
This utility now supports:
- Loading of
minReplicas,maxReplicas, and CPU utilization thresholds - Importing the stabilization window settings to maintain scaling safety
- Auto-populating Autopilot policies with minimal manual effort
Reduce migration time and configuration errors when upgrading to Wave Autoscale.
π Minor Fixes and Improvements
Weβve addressed various minor UI bugs and improved dashboard responsiveness to enhance the overall user experience.
Wave Autoscale 2.5.0 continues our mission to simplify Kubernetes infrastructure operations with powerful automation, actionable visibility, and smooth migration paths from legacy scaling setups.