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.
Course content summary
Red Hat is the leading provider of enterprise open source software solutions Enterprises around the world trust our broad portfolio of hybrid cloud infrastructure, application services, cloud-native application development, and automation solutions to deliver IT services on any infrastructure quickly and cost effectively.
Access hands-on training to stay ahead of technology trends, and gain the knowledge you need to get certified. Whether you’re just starting out and need Linux training or are a seasoned professional seeking automation certification, we can help.
* Asses – Test your expertise, determine your skills gaps, and get recommendations for where to start with Red Hat training
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* Train – Establish your learning objectives and select from solution-oriented courses crafted by accredited instructors to enhance your skill set
* Validate – Confirm training success through Red Hat performance-based certifications
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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.
Kursöversikt
3 600 €
5 Dagar
Distans
Fortsättning
Engelska
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Företagsanpassad kurs
Stockholm
Göteborg
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