5 days.


  • RHCE certification or equivalent experience

Skills Gained

  • Tuning for use-case scenarios (for example, HPC, large memory, database, file server, and so on)
  • Tuning for power consumption
  • Tuning virtual machines (host and guest)
  • Tuning memory and caches
  • Tuning CPU and memory utilization using cgroups
  • Gathering performance metrics and other data for tuning purposes

Who Can Benefit?

  • Experienced Linux system administrators responsible for maximizing resource utilization through performance tuning
  • An RHCE interested in earning a Red Hat Certification of Expertise or a Red Hat Certified Architect (RHCA) credential

Outline for Red Hat Performance Tuning: Linux in Physical, Virtual, and Cloud with Exam Training

Introduction to performance tuning

Understand the basic principles of performance tuning and analysis.

    Collecting, graphing, and interpreting data

    Gain proficiency in using basic analysis tools and in evaluating data.

      General tuning

      Learn basic tuning theory and mechanisms used to tune the system.

        Hardware profiling

        Understand and analyze hardware.

          Software profiling

          Analyze CPU and memory performance of applications.

            Mail server tuning

            Learn about basic storage tuning using an email server as an example.

              Large memory workload tuning

              Understand memory management and tuning.

                HPC workload tuning

                Understand tuning for CPU-bound applications.

                  File server tuning

                  Understand storage and network tuning in the context of a file server application.

                    Database server tuning

                    Tune memory and network performance using a database application as an example.

                      Power usage tuning

                      Tune systems with power consumption in mind.

                        Virtualization tuning

                        Tune ’host’ and ’guest’ for efficient virtualization.