Chapter 1. What is resource optimization for OpenShift?
Resource optimization for OpenShift uses current and historical data from OpenShift to recommend actions to take:
- Shows metrics for CPU and memory usage and analyzes them
- Compares defined container requests and limits
- Analyzes the historical usage patterns to return optimization recommendations
- Reports usage of applications and deployments
- Optimizes the size of your pods
- Manages costs
The data that resource optimization for OpenShift provides can improve your resource allocation and help you save money on your OpenShift cluster deployment.
