Performance and Scale Engineering

Learn how to size Red Hat Quay by profiling components to find real limits, including NooBaa scaling and Python GIL impacts on pull performance.

Learn how to validate AMD MI300X GPU virtualization with Red Hat OpenStack, achieving 96–99% bare-metal bandwidth for multi-tenant AI workloads.

Find out the results of a performance test that assessed how the Argo CD Agent pull architecture scales to robust enterprise requirements.

Compare Cluster Autoscaler and KEDA's MachineSet Autoscaler in Red Hat OpenShift, focusing on their differences and the best choice for workload demand.

Learn how to test database performance with HammerDB on Red Hat OpenShift, optimizing MariaDB, PostgreSQL, and Microsoft SQL Server.

Discover how the MCP standardizes tool integration, how event streaming improves user experience, and how to safely deploy stochastic reasoning engines.