Red Hat Performance Tuning: Linux in Physical, Virtual, and Cloud (RH442)
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
1 – Introduction to performance tuning
- Understand the basic principles of performance tuning and analysis.
2 – Collecting, graphing, and interpreting data
- Gain proficiency in using basic analysis tools and in evaluating data.
3 – General tuning
- Learn basic tuning theory and mechanisms used to tune the system.
4 – Hardware profiling
- Understand and analyze hardware.
5 – Software profiling
- Analyze CPU and memory performance of applications.
6 – Mail server tuning
- Learn about basic storage tuning using an email server as an example.
7 – Large memory workload tuning
- Understand memory management and tuning.
8 – HPC workload tuning
- HPC workload tuning
9 – File server tuning
- Understand storage and network tuning in the context of a file server application.
10 – Database server tuning
- Tune memory and network performance using a database application as an example.
11 – Power usage tuning
- Tune systems with power consumption in mind.
12 – Virtualization tuning
- Tune ’host’ and ’guest’ for efficient virtualization.
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