RH442 – Red Hat Enterprise Linux Performance Tuning
Performance tuning and capacity planning for Red Hat Enterprise Linux.
Course description
Performance tuning and capacity planning for Red Hat Enterprise Linux.
Red Hat Performance Tuning: Linux in Physical, Virtual, and Cloud (RH442) 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.
Course Content Summary
- Analyze and tune for resource-specific scenarios
- Applying tuning profiles with the tuned tool
- Tune in to virtual environments (hosts and guests)
- Trace and profile system events and activities
- Tune resource limits and utilization using system-integrated groups
- Gather performance metrics and benchmarking data
Prerequisites
Audience
Outline
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.
