Have you ever noticed that the CPU used by individual jobs does not add up to 100 percent? As it turns out, your jobs and subsystems are only part of the story. For the stunning conclusion, we return you to the Licensed Internal Code (LIC).

The container deployment model offers component autonomy, elasticity, and scalability in a way that no other framework has done before. But to reap the benefits, you need to adopt new ways of managing and optimizing your environments and their underlying resources. Learn how to manage the performance and resource planning of container workloads.

Performance management is often made to look cumbersome and complex, but we’ve distilled the process down to three essential steps.

To cope with system issues, you want easy yet comprehensive solutions that handle your performance, messaging, and remote management needs, but what you really need are integrated solutions for universal control. See where Robot Monitor fits in.

Use a real-time monitoring tool with thresholds and drill-down capabilities to speed root cause analysis and problem determination for application and resource performance issues on IBM i.

You might think VIOS is set and forget, but it’s not. Luckily, VIOS includes a number of command line utilities to help you obtain performance-related information from your VIOS partitions.

Control the run priority of a job based on its job CPU usage, so your IBM i has the right jobs consuming the right resources. Learn how here.