Red Hat Enterprise Performance Tuning
Course ID
71620
Course Description
This course discusses system architecture with 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).
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 system)
Gathering performance metrics and other data for tuning purposes
Prerequisites
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
Audience
Senior Linux system administrators responsible for maximizing resource utilization through performance tuning
Course Content
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.