How to use workload partitioning with Red Hat OpenShift Container Platform

Learn how to use workload partitioning with Red Hat® OpenShift® Container Platform to benefit resource-constrained environments.

This learning path is for operations teams or system administrators
Developers may want to check out Network observability with eBPF on developers.redhat.com. 

Get started on developers.redhat.com

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.

Keep learning

Red Hat logoGithubredditYoutubeTwitter

Learn

Try, buy, & sell

Communities

About Red Hat Documentation

We help Red Hat users innovate and achieve their goals with our products and services with content they can trust. Explore our recent updates.

Making open source more inclusive

Red Hat is committed to replacing problematic language in our code, documentation, and web properties. For more details, see the Red Hat Blog.

About Red Hat

We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge.

Theme

© 2026 Red Hat
Back to top