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RH442 - Red Hat Performance Tuning: Linux in Physical, Virtual, and Cloud

  • Length 4 days
  • Price  NZD 5120 exc GST
Course overview
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Why study this course

This course teaches senior Linux® system administrators the methodology of performance tuning. This course discusses 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.

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What you’ll learn

As a result of attending this course, students should be able to obtain, analyse, and interpret system performance metrics, which the business can use to increase cost effectiveness, maximise application performance, and make better decisions about investment in hardware or cloud resources.

Students should be able to demonstrate the following skills:

  • Analyse and tune for resource-specific scenarios

  • Applying tuning profiles with the tuned tool

  • Tune in virtual environments (hosts and guests)

  • Trace and profile system events and activities

  • Tune resource limits and utilisation using systemd-integrated cgroups

  • Gather performance metrics and benchmarking data


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Red Hat at Lumify Work

Red Hat is the leading provider of open source, enterprise IT solutions. Lumify Work is proud to offer clients the ability to attend over 40 official Red Hat training courses through a resell agreement with Red Hat. Maximise the return on your Red Hat technology investment with lab-intensive, Instructor-Led Training run by Red Hat themselves. Alternatively, for those unable to attend training, log in and learn with Red Hat Online Learning.


Who is the course for?

Senior Linux system administrators responsible for maximising resource utilisation through performance tuning.


Course subjects

Introduce performance tuning
Describe performance tuning concepts and goals.

Select performance monitoring tools
Evaluate the large selection of performance monitoring tools that are included with Red Hat Enterprise Linux.

View hardware resources
View and interpret hardware resource listings.

Configure kernel tunables and tuned profiles
Configure the operating system to tune for different workload requirements.

Manage resource limits with control groups
Manage resource contention and set limits for resource use on services, applications, and users using cgroup configuration.

Analyse performance using system tracing tools
Diagnose system and application behaviors using a variety of resource-specific tracing tools.

Tune CPU utilisation
Manage CPU resource sharing and scheduling to control utilisation.

Tune memory utilisation
Manage settings for efficient memory utilisation for different types of workloads.

Tune storage device I/O
Manage settings for efficient disk utilisation in various use cases.

Tune file system utilisation
Manage application efficiency for file system utilisation.

Tune network utilisation
Manage application efficiency for network utilisation.

Tune in virtualisation environments
Distinguish the requirements for tuning in virtualised environments.

Perform comprehensive review
Demonstrate skills learned in this course by observing system performance using the appropriate tools, evaluating system metrics, and configuring settings to improve performance.


Prerequisites

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


THIRD PARTY REGISTRATION

Lumify Work offers certification and training in Enterprise Linux, Ansible, JBoss, OpenShift, OpenStack, and more through our partnership with Red Hat. This arrangement requires Lumify Work to provide your details to Red Hat for course and/or exam registration purposes.


Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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