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Red Hat Performance Tuning: Linux in Physical, Virtual, and Cloud
Course Description
Overview
This course is intended to develop the skills needed to improve infrastructure performance, increase system utilization, reduce downtime, and improve responsiveness to system failures.Red Hat has created this course in a way intended to benefit our customers, but each company and infrastructure is unique, and actual results or benefits may vary.
Course description
Performance tuning and capacity planning for Red Hat Enterprise Linux
Red Hat Performance Tuning: Linux in Physical, Virtual, and Cloud (RH422) 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.
Following course completion, you will receive a 45-day extended access to hands-on labs for any course that includes a virtual environment.
Note: This course is offered as a five day virtual class or self-paced. Durations may vary based on the delivery.
Objectives
- 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 systems-integrated groups
- Gather performance metrics and benchmarking data
Audience
Prerequisites
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Become a Red Hat Certified Engineer (RHCE®), or demonstrate equivalent experience
Topics
- Describe performance tuning concepts and goals.
- Evaluate the large selection of performance monitoring tools that are included with Red Hat Enterprise Linux.
- View and interpret hardware resource listings.
- Configure the operating system to tune for different workload requirements.
- Manage resource contention and set limits for resource use on services, applications, and users using cgroup configuration.
- Diagnose system and application behaviors using a variety of resource-specific tracing tools.
- Manage CPU resource sharing and scheduling to control utilization.
- Manage settings for efficient memory utilization for different types of workloads.
- Manage settings for efficient disk utilization in various use cases.
- Manage application efficiency for file system utilization.
- Manage application efficiency for network utilization.
- Distinguish the requirements for tuning in virtualized environments.
- Demonstrate skills learned in this course by observing system performance using the appropriate tools, evaluating system metrics, and configuring settings to improve performance.
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Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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