Red Hat Performance Tuning: Linux in Physical, Virtual, and Cloud (RH442)

Duration

4 Days

24 CPD hours

This course is intended for

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

Overview

Analyze and tune for resource-specific scenarios Applying tuning profiles with the tuned tool Tune in virtual environments (hosts and guests) Trace and profile system events and activities Tune resource limits and utilization using systemd-integrated cgroups Gather performance metrics and benchmarking data

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.

Prerequisites

Become a Red Hat Certified Engineer (RHCE©), or demonstrate equivalent experience

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

• Understand and analyze hardware.

5 - Software profiling

• Analyze 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

• HPC workload tuning

9 - File server tuning

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

10 - Database server tuning

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

11 - Power usage tuning

• Tune systems with power consumption in mind.

12 - Virtualization tuning

• Tune ?host? and ?guest? for efficient virtualization.