9+ Hours of Video Instruction
More than 9 hours of video instruction to help you learn the skills necessary to prepare you for the Red Hat EX442 exam, add to your knowledge base for accomplishing the RHCA, and expand your knowledge of Linux optimization to run a more efficient system.
Linux Performance Optimization includes a complete overview of all that is needed to optimize Performance on Linux servers and desktops from a practical perspective. It starts with a generic introduction to analyzing performance and the tools that are provided to do so. Next, it will discuss different tuning interfaces that exist within the Linux environment. The last part of the course will focus on performance optimization strategies for different types of workload.
The course provides valuable strategies and information about optimization to prepare the viewer for the Red Hat EX442, as well as complimenting their skill set for the RHCA exams. Sander van Vugt, best-selling Red Hat and Linux author, provides thorough demonstrations and whiteboard presentations. A full sample exam walk-through is also provided at the end of the course so you can see in real-time how to approach the exam.
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Who Should Take This Course
Solid Linux knowledge, preferably having completed one of the following:
Lesson 1, “Performance Optimization Basics,” provides you with an understanding of how to align your business goals with the performance optimization goals of your organization.
Lesson 2 will address tuning essentials. You'll learn about different queueing techniques, as well as some of the basic elements that the Linux operating system contains to help you optimize performance.
Lesson 3, “Limiting Resource Usage,” discusses different solutions that Linux includes to limit access to resources, including ulimit, cgroups, and how cgroups are integrated in systemd.
Lesson 4 tackles the subject of benchmarking. Different benchmarking tools to gather data about your systems performance will be explained, and how to use awk to analyze and filter these data. It also demonstrates how to use plotting and performance co-pilot to present the data in a usable way.
Profiling is discussed in Lesson 5. Using profiling allows you to gather specific system information from specific parts of your computer. You'll learn how to apply this on kernel, hardware, and storage. You'll also learn how to use perf as a specific profiling solution.
Tracing is an approach that helps you gather detailed information about any part of the operating system. You'll learn how to trace system calls, as well as library calls, and how to use systemtap for tracing specific parts of the operating system.
In Lesson 7, “Tuning for Small Files,” you'll learn to understand the I/O workflow and the parts involved. Next, you'll learn how to optimize parts that are essential for small file workloads, such as disk I/O and specific file system properties.
Tuning memory in Lesson 8 focuses on the optimization of memory. As memory is the vital part for the performance of your server, this might be the most important lesson in this course for you. You'll learn about memory management, and about different solutions that exist for managing process management. You'll also learn how swap plays a role in memory management, and how to handle specific situations related to memory leaks, OOM, and more.
Lesson 9, “Tuning for CPU-intense Workloads,” involves understanding how the CPU works, and how to work with the different schedulers that are offered by the Linux kernel. It focuses on optimizing the schedulers for your workloads, and you'll also learn how to apply generic techniques such as CPU pinning and interrupt balancing.
In “Tuning File Services,” you'll learn how to optimize for file services. This involves managing typical file system features, such as journaling, fragmentation and aligning the file system with the disk geometry. We'll also focus on network performance optimization, and you'll learn how to optimize different components that play a role in communication between nodes over the network.
Lesson 11, “Database Workload Tuning,” discusses how to optimize a server for database usage. This involves managing IPCs, huge pages, and memory over-commitment.
“Tuning Power Usage” explains how to optimize a Linux system for efficient power usage. You'll learn about some generic power saving strategies, managing power states, and profiling power usage. You'll also learn how to work with cpufreq.
Lesson 13, “Tuning Virtualization,” covers the optimization of virtual machines. You'll learn how to apply strategies such as CPU pinning, Kernel samepage merging, and cgroups.
Lesson 14 provides a Sample Exam of the Red Hat EX442. The sample exam is made up of 16 questions. The answers are explained in detail in the sub-lessons.
Module 1: Performance Tuning Essentials
Lesson 1: Performance Optimization Basics
Lesson 2: Tuning Essentials
Lesson 3: Limiting Resource Usage
Module 2: Gathering Performance Data
Lesson 4: Benchmarking
Lesson 5: Profiling
Lesson 6: Tracing
Module 3: Tuning Specific Workloads
Lesson 7: Tuning for Small Files
Lesson 8: Tuning Memory
Lesson 9: Tuning for CPU-intense Workloads
Lesson 10: Tuning File Services
Lesson 11: Database Workload Tuning
Lesson 12: Tuning Power Usage
Lesson 13: Tuning Virtualization
Lesson 14: Sample Exam