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Performance tuning and capacity planning for Red Hat Enterprise Linux

Red Hat® Enterprise Performance Tuning teaches senior Linux® system administrators about performance tuning for Red Hat Enterprise Linux.

This course discusses system architecture with an emphasis on:

  • Understanding the implications on system performance.
  • Methods for testing the effects of performance adjustments.
  • Open source benchmarking utilities.
  • Methods for analyzing system and networking performance.
  • Tuning configurations for specific application loads.

This course can also help you prepare for the Red Hat Certificate of Expertise in Performance Tuning exam (EX442). This version of the course includes the exam.

Target Audience

Senior Linux system administrators responsible for maximizing resource utilization through performance tuning.


  • 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.

Learning outcomes

Course content summary

  • Tuning for use-case scenarios (for example, HPC, large memory, database, and file server)
  • Applying tuning profiles with tuned
  • Tuning virtual machines (primarily guest, but host is discussed)
  • Tuning memory and caches
  • Tuning CPU and memory utilization using cgroups (integrated in systemd)
  • Gathering performance metrics and other data for tuning purposes

Impact on the organization

This course is intended to develop the skills needed to improve infrastructure performance, increase system utilization, reduce downtime, and improve responsiveness to system failures.

Red Hat has created this course in a way intended to benefit our customers, but each company and infrastructure is unique, and actual results or benefits may vary.

Impact on the individual

As a result of attending this course, students should be able to obtain, analyze, and interpret system performance metrics, which the business can use to increase cost effectiveness, maximize application performance, and make better decisions about investment in hardware or cloud resources.

Students should be able to demonstrate the following skills:

  • Describe how key Linux subsystems work
  • Interact with applications
  • Determine which tuning adjustments are relevant in different situations

Course Outline

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
Allocate resources for best performance by limiting resource usage.

Hardware profiling
Understand and analyze hardware.

Software profiling
Analyze CPU and memory performance of applications.

Using SystemTap
Use systemtap for profiling software.

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.

Red Hat Performance Tuning Comprehensive Review
Do a comprehensive overview of the course.

Exam included - worth £500

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