About this Course

Red Hat® Enterprise Performance Tuning is designed to teach senior Linux® system administrators the methodology of performance tuning for Red Hat Enterprise Linux. This course discusses system architecture with an emphasis on understanding the implications of system architecture on system performance, methods for testing the effects of performance adjustments, open source benchmarking utilities, methods for analyzing system and networking performance, and tuning configurations for specific application loads. This course also helps current RHCEs prepare for the Red Hat Certificate of Expertise in Performance Tuning Exam (EX442).

Audience Profile

• 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 Datacenter Specialist (RHCDS) or Red Hat Certified Architect (RHCA) credential

At Course Completion

Upon completing this course, students will be able to:

• Tuning for use-case scenarios (e.g., HPC, large memory, database, fileserver, etc.)
• 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 purpose

Prerequisites

• Red Hat Certified Engineer (RHCE) certification is required to take the exam (EX442) or enroll in a version of this course that includes the exam (RH443)

Course Outline

1. Introduction to performance tuning

Understand the basic principles of performance tuning and analysis

2. Collecting, graphing, and interpreting data

Gain proficiency in using basic analysis tools and in evaluating data

3. General tuning

Learn basic tuning theory and mechanisms used to tune the system

4. Hardware profiling

Understanding and analyzing hardware

5. Software profiling

Analyze central processing unit (CPU) and memory performance of applications

6. Mail server tuning

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

7. Large memory workload tuning

Understand memory management and tuning

8. HPC workload tuning

Understand tuning for CPU-bound applications

9. File server tuning

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

10. Database server tuning

Tuning memory and network performance using a database application as an example

11. Power usage tuning

Tuning systems with power consumption in mind

12. Virtualization tuning

Tuning ’host’ and ’guest’ for efficient virtualization