Preface
Resource optimization for OpenShift is part of Red Hat Lightspeed cost management. It assesses and monitors resource usage across Red Hat OpenShift clusters to help you improve resource allocation and reduce OpenShift deployment costs.
Resource optimization for OpenShift uses current and historical data from OpenShift to recommend actions to take:
- Displays and analyzes metrics for CPU and memory usage
- Compares defined project requests and limits
- Compares defined container requests and limits
- Analyzes historical usage patterns to return optimization recommendations
- Reports usage of applications and deployments
- Optimizes the size of your pods
- Manages costs
You can view optimization data in cost management in the Hybrid Cloud console, or through Red Hat Developer Hub.
The Resource Optimization Service (ROS) within Cost Management has officially removed support for tracking and analyzing DeploymentConfig workloads. Beginning with Cost Management Metrics Operator version 4.4.1, the operator ignores DeploymentConfig resources. ROS now exclusively evaluates standard Deployment workloads. For more information about the deprecation of the DeploymentConfig API in OpenShift Container Platform, see DeploymentConfig API is being deprecated in Red Hat OpenShift Container Platform 4.14.
If you use an earlier version of the operator and do not want to upgrade to version 4.4.1, and issues related to DeploymentConfig workloads persist, you must migrate away from the deprecated DeploymentConfig API to standard Deployment workloads. Users in the process of migrating from DeploymentConfig to standard Deployment workloads will see their optimization recommendations resume once the migration is complete.
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