Linux performance tuning and capacity planning pdf
Linux Performance Tuning and Capacity Planning
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For meaningful performance tuning, you must measure performance in a consistent. Performance monitoring. Linux Performance and Tuning Guidelines. July This edition applies to kernel Linux distributions. Linux installed on IBM System x servers.
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We apologize for the inconvenience. If you are trying to register for LISA19 , please complete your registration before or after this time period. The Linux operating system is commonly used both in the data center and for scientific computing applications; it is used in embedded systems as small as a wristwatch, as well as in large mainframes. As a result, the Linux system has many tuning knobs so that it can be optimized for a wide variety of workloads. Some tuning of the Linux operating system has been done ""out of the box"" by enterprise-optimized distributions, but there are still many opportunities for a system administrator to improve the performance of his or her workload on a Linux system. This class will cover the tools that can be used to monitor and analyze a Linux system, and key tuning parameters to optimize Linux for specific server applications, covering the gamut from memory usage to filesystem and storage stacks, networking, and application tuning.
In this online article Dr. This TeamQuest paper explains how and how the load average LA can be reorganized to do better capacity planning. In this two part-series I want to explore the use of averages in performance analysis and capacity planning. There are many manifestations of averages e. More importantly, we will be looking at averages over time or time-dependent averages. A particular example of such a time-dependent average is the load average metric that appears in certain UNIX commands. In Part 1 I shall look at what the load average is and how it gets calculated.
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