When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
Red Hat Performance Tuning: Linux in Physical, Virtual, and Cloud with Exam
Red Hat® Enterprise Performance Tuning is designed to teach senior Linux® system administrators the methodology of performance tuning for Red Hat Enterprise Linux. This course discusses system...
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Course Code
RH443
Red Hat® Enterprise Performance Tuning is designed to teach senior Linux® system administrators the methodology of performance tuning for Red Hat Enterprise Linux. This course discusses system architecture with an emphasis on understanding the implications of system architecture on system performance, methods for testing the effects of performance adjustments, open source benchmarking utilities, methods for analyzing system and networking performance, and tuning configurations for specific application loads.
Skills Gained
- Tuning for use-case scenarios (for example, HPC, large memory, database, file server, and so on)
- Tuning for power consumption
- Tuning virtual machines (host and guest)
- Tuning memory and caches
- Tuning CPU and memory utilization using cgroups
- Gathering performance metrics and other data for tuning purposes
Who Can Benefit
- Experienced Linux system administrators responsible for maximizing resource utilization through performance tuning
- An RHCE interested in earning a Red Hat Certification of Expertise or a Red Hat Certified Architect (RHCA) credential
Prerequisites
- RHCE certification or equivalent experience
Course Details
Introduction to performance tuning
Understand the basic principles of performance tuning and analysis.
Collecting, graphing, and interpreting data
Gain proficiency in using basic analysis tools and in evaluating data.
General tuning
Learn basic tuning theory and mechanisms used to tune the system.
Hardware profiling
Understand and analyze hardware.
Software profiling
Analyze CPU and memory performance of applications.
Mail server tuning
Learn about basic storage tuning using an email server as an example.
Large memory workload tuning
Understand memory management and tuning.
HPC workload tuning
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.
Virtualization tuning
Tune ’host’ and ’guest’ for efficient virtualization.
