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.
This course is based on Red Hat® Enterprise Linux 8.
Become a Red Hat Certified Engineer (RHCE®), or demonstrate equivalent experience
Senior Linux system administrators responsible for maximizing resource utilization through performance tuning
In this course, students learn how to:
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.
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