Red Hat Enterprise Performance Tuning Training (RH442)

Red Hat Enterprise Performance Tuning Training (RH442)

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Introduction:

Red Hat Enterprise Performance Tuning Training (RH442) course with Hands-on Labs – Red Hat Training Units: 12 RTU

Red Hat Enterprise Performance Tuning Training (RH442) course teaches senior Linux® system administrators about performance tuning for Red Hat Enterprise Linux.This Red Hat Enterprise Performance Tuning Training 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 Red Hat Enterprise Performance Tuning Training (RH442) course can also help you prepare for the Red Hat Certificate of Expertise in Performance Tuning Exam (EX442).

Duration: 4 days

Red Hat Enterprise Performance Tuning Training (RH442)
 
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Customize It:

• If you are familiar with some aspects of this Red Hat Enterprise Performance Tuning Training (RH442) course, we can omit or shorten their discussion.
• We can adjust the emphasis placed on the various topics or build the Red Hat Enterprise Performance Tuning Training (RH442) course around the mix of technologies of interest to you (including technologies other than those included in this outline).
• If your background is nontechnical, we can exclude the more technical topics, include the topics that may be of special interest to you (e.g., as a manager or policy-maker), and present the Red Hat Enterprise Performance Tuning Training (RH442) course in manner understandable to lay audiences.

Audience / Target Group:

The target audience for this Red Hat Enterprise Performance Tuning Training course:

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

Class Prerequisites:

The knowledge and skills that a learner must have before attending this Red Hat Enterprise Performance Tuning Training course are as follows:

• Red Hat Certified Engineer (RHCE®) certification or equivalent experience

Objectives:

Upon completing this Red Hat Enterprise Performance Tuning Training course, learners will be able to meet these objectives:

• Tuning for use-case scenarios (for example, HPC, large memory, database, and file server)
• 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 purposes

Certifications

This course is part of the following Certifications:

• Red Hat Certified Architect: Datacenter (RHCA-DC)
• Red Hat Certificate of Expertise in Performance Tuning (RHCOE-PERFORMANCE-TUNING)

Red Hat Enterprise Performance Tuning Training (RH442) – Course Syllabus:

Module 1: Introduction to performance tuning

• Understand the basic principles of performance tuning and analysis.

Module 2: Collecting, graphing, and interpreting data

• Gain proficiency using basic analysis tools and evaluating data.

Module 3: General tuning

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

Module 4: Limiting resource usage

Module 5: Hardware profiling

• Understand and analyze hardware.

Module 6: Software profiling

• Analyze CPU and memory performance of applications.

Module 7: Small file tuning

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

Module 8: Large memory workload tuning

• Understand memory management and tuning.

Module 9: Tuning for a CPU-intensive workload

• Understand tuning for CPU-bound applications.

Module 10: File server tuning

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

Module 11: Database server tuning

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

Module 12: Power usage tuning

• Tune systems with power consumption in mind.

Module 13: Virtualization tuning

• Tune ‘host’ and ‘guest’ for efficient virtualization.

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