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

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Learn advanced performance tuning techniques for Linux systems across physical, virtual, and cloud environments in the Red Hat Performance Tuning: Linux in Physical, Virtual, and Cloud (RH442) course.

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

Overview

The Red Hat Performance Tuning: Linux in Physical, Virtual, and Cloud (RH442) course is designed for senior Linux® system administrators looking to optimize system performance. The course delves into performance tuning methodologies, system architecture analysis, benchmarking utilities, and tuning configurations across physical, virtual, and cloud environments, ensuring efficient resource utilization and enhanced system performance.

Objectives

By the end of this course, leaner will be able to:

  • Analyze and interpret system performance metrics to optimize resource utilization.
  • Apply tuning profiles using the tuned tool for various workloads.
  • Manage and set resource limits using systemd-integrated cgroups.
  • Diagnose system and application behaviors using advanced tracing tools.
  • Optimize CPU, memory, storage, and network performance in virtualized and non-virtualized environments.

Prerequisites

  • Red Hat Certified Engineer (RHCE®) certification or equivalent experience.
  • Proficiency in managing Linux systems at an enterprise level.
  • Understanding of system architecture and performance implications.
  • Experience with system and application monitoring tools.
  • Basic knowledge of virtualization concepts and environments.

Course Outline

Module 1: Introduction to Performance Tuning2025-01-29T17:07:23+05:30
  • Understanding performance tuning concepts and goals.
Module 2: Performance Monitoring Tools2025-01-29T17:08:50+05:30
  • Evaluating a variety of performance monitoring tools included with Red Hat Enterprise Linux.
Module 3: Hardware Resource Analysis2025-01-29T17:09:36+05:30
  • Viewing and interpreting hardware resource listings.
Module 4: Kernel Tunables and ‘tuned’ Profiles2025-01-29T17:09:58+05:30
  • Configuring the operating system to optimize for different workload requirements.
Module 5: Resource Management with Control Groups2025-01-29T17:11:39+05:30
  • Managing resource contention and setting limits for services, applications, and users using cgroup configurations.
Module 6: System Tracing Tools2025-01-29T17:12:06+05:30
  • Diagnosing system and application behaviors using various resource-specific tracing tools.
Module 7: CPU Optimization2025-01-29T17:13:24+05:30
  • Managing CPU resource sharing and scheduling to control utilization.
Module 8: Memory Optimization2025-01-29T17:14:17+05:30
  • Configuring settings for efficient memory utilization tailored to different workloads.
Module 9: Storage I/O Optimization2025-01-29T17:14:38+05:30
  • Managing settings for efficient disk utilization across various use cases.
Module 10: File System Optimization2025-01-29T17:14:58+05:30
  • Enhancing application efficiency concerning file system utilization.
Module 11: Network Optimization2025-01-29T17:15:08+05:30
  • Improving application efficiency in network utilization.
Module 12: Tuning in Virtualized Environments2025-01-29T17:15:19+05:30
  • Understanding the requirements and techniques for tuning in virtualized settings.
Module 13: Comprehensive Review2025-01-29T17:16:34+05:30
  • Applying learned skills by observing system performance, evaluating metrics, and configuring settings to enhance performance.
2025-01-30T12:59:34+05:30
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