Red Hat Performance Tuning: Linux in Physical, Virtual, and Cloud (RH442)
E-Learning
Description
As a senior Linux® system administrator, this course will help you master the methodology of performance tuning. You will be introduced to 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.
As a senior Linux® system administrator, this course will help you master the methodology of performance tuning. You will be introduced to 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.
Students should be able to demonstrate the following skills:
Describe how key Linux subsystems work
Interact with applications
Determine which tuning adjustments are relevant in different situation
Senior Linux system administrators responsible for maximizing resource utilization through performance tuning
| Lesson Id | Title | Description |
|---|---|---|
| 1 | Introduction to performance tuning | Understand the basic principles of performance tuning and analysis. |
| 2 | Collecting, graphing, and interpreting data | Gain proficiency in using basic analysis tools and in evaluating data. |
| 3 | General tuning | Learn basic tuning theory and mechanisms used to tune the system. |
| 4 | Limiting resource usage | Allocate resources for best performance by limiting resource usage. |
| 5 | Hardware profiling | Understand and analyze hardware. |
| 8 | Small file tuning | Tune a server for a workload involving frequent reads and writes of small files. |
| 9 | Large memory workload tuning | Understand memory management and tuning. |
| 10 | Tuning for a CPU-intensive workload | Understand tuning for CPU-bound applications. |
| 11 | File server tuning | Understand storage and network tuning in the context of a file server application. |
| 12 | Database server tuning | Tune memory and network performance using a database application as an example. |
| 13 | Power usage tuning | Tune systems with power consumption in mind. |
| 14 | Virtualization tuning | Tune ’host’ and ’guest’ for efficient virtualization. |
| 6 | Software profiling | Analyze CPU and memory performance of applications. |
| 7 | Using SystemTap | Use systemtap for profiling software. |
Self-Paced
Free
This course includes: :
Full lifetime access