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.

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