Next steps for using workload partitioning with Red Hat OpenShift Container Platform
5 mins
Workload partitioning is an essential feature for running OpenShift in environments where resource contention is a concern. By creating a hard boundary between system and workload CPUs, it provides performance isolation, ensures control plane stability, and allows for more predictable application behavior. The configuration, managed via a PerformanceProfile, offers a robust mechanism to tailor CPU resource allocation to specific hardware and workload requirements. After completing this tutorial, you now have:
- Understanding as to how workload partitioning functions
- Test cases to run on your own nodes
- A cluster with workload partitioning enabled
With this experience, you’re ready to apply partitioning and isolation to whatever architecture you need.
What comes next?
Now you can look into wider environment optimization and scalability using Red Hat OpenShift Container Platform.
