Red Hat Enterprise Performance Tuning (RH 442)
This course discusses system architecture with an emphasis on:
- Understanding the implications of 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
All Dates Guaranteed To Run
Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.
Train face-to-face with the live instructor.
Interact with a live, remote instructor from a specialized, HD-equipped classroom near you.
Attend the live class from the comfort of your home or office.
- Red Hat Certified Engineer (RHCE) certification or equivalent experience
- Candidates who have not earned their RHCE can confirm they have the correct skills by passing our online skills assessment
Senior Linux system administrators who are responsible for maximizing resource utilization through performance tuning.
- 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
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
- 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.