Red Hat Enterprise System Monitoring and Performance Tuning (RH442)
- Enroll This Course
This 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 course can also help you prepare for the Red Hat Certificate of Expertise in Performance Tuning exam (EX442).
Course content summary
- Tuning for use-case scenarios (for example, HPC, large memory, database, and file server)
- Applying tuning profiles with tuned
- Tuning virtual machines (primarily guest, but host is discussed)
- Tuning memory and caches
- Tuning CPU and memory utilization using cgroups (integrated in systemd)
- Gathering performance metrics and other data for tuning purposes
Audience and Prerequisites
Audience for this course
- Senior Linux system administrators responsible for maximizing resource utilization through performance tuning
Prerequisites for this course
After the Course
Recommended next exam or course
Tests candidates’ ability to use standard system tools to analyze the performance of Red Hat Enterprise Linux and applications running on it and to modify the behavior of the system and applications to improve system performance.
This course prepares you for these credentials
RHCA certification represents a depth of knowledge in Red Hat Enterprise Linux and breadth of knowledge across other Red Hat technologies.
Certificates of Expertise are incremental credentials attached to an RHCE certification that demonstrate skills and knowledge in specialized areas.
Introduction to performance tuning
Understand the basic principles of performance tuning and analysis.
Collecting, graphing, and interpreting data
Gain proficiency using basic analysis tools and evaluating data.
Learn basic tuning theory and mechanisms used to tune the system.
Limiting resource usage Hardware profiling
Understand and analyze hardware.
Analyze CPU and memory performance of applications.
Small file tuning
Tune a server for a workload involving frequent reads and writes of small files.
Large memory workload tuning
Understand memory management and tuning.
Tuning for a CPU-intensive workload
Understand tuning for CPU-bound applications.
File server tuning
Understand storage and network tuning in the context of a file server application
Database server tuning
Tune memory and network performance using a database application as an example.
Power usage tuning
Tune systems with power consumption in mind.
Tune ‘host’ and ‘guest’ for efficient virtualization.
Note: Course outline is subject to change with technology advances and as the nature of the underlying job evolves. For questions or confirmation on a specific objective or topic, please contact a training specialist.