Performance Tuning

Performance tuning is the improvement of system performance. Typically in computer systems, the motivation for such activity is called a performance problem, which can be either real or anticipated. Most systems will respond to increased load with some degree of decreasing performance. A system's ability to accept higher load is called scalability, and modifying a system to handle a higher load is synonymous to performance tuning.

Modules

• Introduction to performance tuning

  • Understand the basic principles of performance tuning and analysis.

• Collecting, graphing, and interpreting data

  • Gain proficiency using basic analysis tools and evaluating data.

• General tuning

  • Learn basic tuning theory and mechanisms used to tune the system.

• Limiting resource usage

  • Allocate resources for best performance by limiting resource usage.

• Hardware profiling

  • Understand and analyze hardware.

• Software profiling

  • Analyze CPU and memory performance of applications.

• Using SystemTap

  • Use systemtap for profiling software.

• Small file tuning

  • Tune a server for a workload involving frequent reads and writes of small files.

• Large memory workload tuning

  • Understand memory management and tuning.

• Tuning for a CPU-intensive workload

  • Understand tuning for CPU-bound applications.

• File server tuning

  • Understand storage and network tuning in the context of a file server application.

• Database server tuning

  • Tune memory and network performance using a database application as an example.

• Power usage tuning

  • Tune systems with power consumption in mind.

• Virtualization tuning

  • Tune 'host' and 'guest' for efficient virtualization.

• Red Hat Performance Tuning Comprehensive Review

  • Do a comprehensive overview of the course.