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

Course ID : RH442

Duration In-class (в days) : 4 days

Duration Online : 5 days

Сurriculum : in-class, Virtual Instructor-Led Training - ONLINE

Delivery : 13.05.2024 - 17.05.2024

Overview

Performance tuning and capacity planning for Red Hat Enterprise Linux

Red Hat Performance Tuning: Linux in Physical, Virtual, and Cloud (RH422) teaches senior Linux® system administrators the methodology of performance tuning. This course discusses system architecture with an emphasis on understanding its implications on system performance, performance adjustments, open source benchmarking utilities, networking performance, and tuning configurations for specific server use cases and workloads.

This course is based on Red Hat® Enterprise Linux 8.

Audience for this course

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

Objective

Course content summary:

• 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

Prerequisites for this course

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

Outcomes

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, you should be able to obtain, analyze, and interpret system performance metrics, then use these metrics to help increase cost effectiveness, maximize application performance, and make better decisions about investment in hardware or cloud resources.

Outline

1. Introduce performance tuning
2. Select performance monitoring tools
3. View hardware resources
4. Configure kernel tunables and tuned profiles
5. Manage resource limits with control groups
6. Analyze performance using system tracing tools
7. Tune CPU utilization
8. Tune memory utilization
9. Tune storage device I/O
10. Tune file system utilization
11. Tune network utilization
12. Tune in virtualization environments
13. Perform comprehensive review