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Курс RH442: Red Hat Performance Tuning: Linux in Physical, Virtual, and Cloud

Red Hat Performance Tuning: Linux in Physical, Virtual, and Cloud

Продолжительность обучения

4 дня - 32 часа

Стоимость курса

Очно: 95000 ₽

Дистанционно: уточните у менеджера

Ближайшие даты

Уточните у менеджера

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Course content summary

  • 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 systemd-integrated cgroups
  • Gather performance metrics and benchmarking data

Outline for this course

  • 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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