Develop an understanding of performance tuning and capacity planning in Red Hat Enterprise Linux.
Red Hat Enterprise Linux Performance Tuning (RH442) teaches senior Linux system administrators the methodology of performance tuning. The course deals with system architecture with a focus on understanding how it affects system performance, performance tuning, open source tools for benchmarking, network performance, as well as configuration adjustments for specific server use cases and workloads.
This course is based on Red Hat Enterprise Linux 10.
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Collect performance metrics and benchmark data.
Analyze and optimize system performance for resource-specific scenarios.
Apply optimization profiles with the TuneD tool.
Track and profile system events and activity.
Optimize the guest systems that run RHEL in virtual environments.
Optimize and profile system events and activities.
Adjust resource limits and resource usage using systemd integrated control groups.
Platform engineers, cloud administrators, and system administrators who are responsible for maximizing resource utilization and optimizing system performance across various deployment environments.
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Red Hat Certified System Administrator (EX200) certification or equivalent knowledge and experience of Red Hat Enterprise Linux.
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Introduction to Performance Optimization
Describe the concepts and goals for performance optimization.
Choose Performance Monitoring Tools
Evaluate the wide range of performance monitoring tools included in Red Hat Enterprise Linux.
View Hardware Resources
View and interpret lists of hardware resources.
Configuring kernel parameters and TuneD profiles
Configure the operating system to optimize different types of workloads.
Manage resource limits with control groups
Manage resource conflicts and set limits on resource usage for services, applications, and users using cgroup configuration.
Analyze performance with system tracking tools
Diagnose system and application behaviors using various resource-specific tracking tools.
Optimize CPU usage
Manage the sharing and scheduling of CPU resources to control resource utilization.
Optimize memory usage
Manage efficient memory usage settings for different types of workloads.
Optimize Storage Device I/O
Manage settings for efficient disk usage in different usage scenarios.
Optimize file system usage
Manage application efficiency when using file systems.
Optimize network usage
Manage application efficiency when using networks.
Optimize in virtualized environments
Identify specific requirements for optimization in virtualized environments.
Demonstrate skills from the course by monitoring system performance with appropriate tools, evaluating system metrics, and configuring settings for improved performance.
Course overview
42950 kr
5 days
Advanced
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