Red Hat Enterprise Performance Tuning Training Course | CourseMonster

• Analyze 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 utilization using systemd-integrated cgroups
• Gather performance metrics and benchmarking data

As a result of attending this course, you should be able to obtain, analyze, and interpret system performance metrics, then use these metrics to help increase cost effectiveness, maximize application performance, and make better decisions about investment in hardware or cloud resources.

Impact on the organization

This course is intended to develop the skills needed to improve infrastructure performance, increase system utilization, reduce downtime, and improve responsiveness to system failures.

Useful links: Red Hat training | Cloud Computing training at CourseMonster | CourseMonster course page

Additional workplace outcomes: Participants can explain where Red Hat Enterprise Performance Tuning Training Course | CourseMonster fits in a wider Red Hat skills roadmap, identify related certifications or follow-on courses, and apply the concepts to real project, operations or service delivery scenarios.

Become a Red Hat Certified Engineer (RHCE®), or demonstrate equivalent experience.

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.

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

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

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

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

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

Tune network utilization
Manage application efficiency for network utilization.

Tune in virtualization environments
Distinguish the requirements for tuning in virtualized 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.

Useful links: Red Hat training | Cloud Computing training at CourseMonster | CourseMonster course page

Suggested learning path: After this course, compare related options via the links in the overview and the Red Hat training category.

To attend any Red Hat course or exam, you will need to provide us with your unique Red Hat Network ID. If you do not have a Red Hat Network ID you can create one online here. In order to confirm your place on this course CourseMonster must share several items of basic personal information with our Partner. Bookings cannot be confirmed without this. If you have any questions or concerns please contact your CourseMonster account manager.

If you attend a virtual event, Courseware will be in PDF format and available for download on the first day of the course. Joining Instructions will be sent on the Friday before start date directly from Red Hat which will include the live virtual classroom link.