Red Hat Certificate of Expertise in Performance Tuning

An IT professional has ability to demonstrate the skills, knowledge, and abilities needed to monitor performance metrics on Red Hat Enterprise Linux systems and configure performance enhancements suitable for various production workloads who earns Red Hat Certificate of Expertise in Performance Tuning.


  • An IT professional responsible for systems with heavy or specialized workloads
  • An IT professional interested in pursuing or Red Hat Certified Architect (RHCA)


  • Red Hat Certified Engineer (RHCE) certification or equivalent experience
  • Candidates who have not earned their RHCE can confirm they have the correct skills by passing our online skills assessment

Your abilities after the course:

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

Course duration & Exam:

4 days of classroom training
Recommended training: (RH442)
A candidate must pass the following exams to earn this credential:
EX442 – Red Hat Certificate of Expertise in Performance Tuning exam

COURSE CONTENT:RH442 : Red Hat Certificate of Expertise in Performance Tuning exam

Course Content : RH442 :Red Hat Enterprise Performance Tuning

Introduction to performance tuning

Understand the basic principles of performance tuning and analysis.

Collecting, graphing, and interpreting data

Gain proficiency using basic analysis tools and evaluating data.

General tuning

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

Limiting resource usage

Hardware profiling

Understand and analyze hardware.

Software profiling

Analyze CPU and memory performance of applications.

Small file tuning

Tune a server for a workload involving frequent reads and writes of small files.

Large memory workload tuning

Understand memory management and tuning.

Tuning for a CPU-intensive workload

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.



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