RH442

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Red Hat Enterprise Performance Tuning

Performance tuning and capacity planning for Red Hat Enterprise Linux 

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.

Audience

Prior knowledge

  • RHCE certification or equivalent experience

For candidates who have not earned the RHCE certification, confirmation of the correct skill-set knowledge can be obtained by passing the online skills assessment.

Certification

Red Hat Certified Engineer (RHCE®) who successfully completes this course is prepared to take the Red Hat Certificate of Expertise in Performance Tuning Exam (EX442).

Courseware

Course material in English

Course content summary

  • Tuning for use-case scenarios (for example, HPC, large memory, database, and file server)
  • 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

Course Outline

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.

Course content summary

  • Tuning for use-case scenarios (for example, HPC, large memory, database, and file server)
  • 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

Course Outline

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.

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Kurs-ID: RH442
Längd: 4 dagar
Kan betalas med:
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