Performance Tuning Guide Red Hat Customer Portal. The Performance Tuning Guide is a comprehensive reference on the configuration and optimization of Red Hat Enterprise Linux. While this release also contains information on Red Hat Enterprise Linux 5 performance capabilities, all instructions supplied herein are specific to Red Hat Enterprise Linux 6. How to read this book. This book is divided into chapters discussing specific subsystems in Red Hat Enterprise Linux. Linux Kernel Serial Port Buffer Size In Logic' title='Linux Kernel Serial Port Buffer Size In Logic' />The kernels commandline parameters The following is a consolidated list of the kernel parameters as implemented by the setup, coreparam and moduleparam. The Performance Tuning Guide describes how to optimize the performance of a system running Red Hat Enterprise Linux 6. It also documents performancerelated upgrades. The Performance Tuning Guide focuses on three major themes per subsystem. Each subsystem chapter describes performance features unique to or implemented differently in Red Hat Enterprise Linux 6. ABSTRACT. A Linux kernel is not very useful without a root file system containing applications and settings. Root file systems can be created in several formats. A solidstate drive SSD is a solidstate storage device that uses integrated circuit assemblies as memory to store data persistently. SSD technology primarily uses. The Hortonworks Data Platform HDP is an enterprisegrade, hardened Apache Hadoop distribution that enables you to store, process, and manage large data sets. Apache. Summary of the changes and new features merged in the Linux kernel during the 4. These chapters also discuss Red Hat Enterprise Linux 6 updates that significantly improved the performance of specific subsystems over Red Hat Enterprise Linux 5. The book also enumerates performance indicators for each specific subsystem. Typical values for these indicators are described in the context of specific services, helping you understand their significance in real world, production systems. In addition, the Performance Tuning Guide also shows different ways of retrieving performance data that is, profiling for a subsystem. Note that some of the profiling tools showcased here are documented elsewhere with more detail. Configuration. Perhaps the most important information in this book are instructions on how to adjust the performance of a specific subsystem in Red Hat Enterprise Linux 6. ZTVyMWQ5OHB0Z2lzMC8vbWMzNWE5NC9yMzZnMjdhZy5wX2xjc2kwMXQvNTFoZmlnaWFm.jpg' alt='Linux Kernel Serial Port Buffer Size In Logic' title='Linux Kernel Serial Port Buffer Size In Logic' />The Performance Tuning Guide explains how to fine tune a Red Hat Enterprise Linux 6 subsystem for specific services. Keep in mind that tweaking a specific subsystems performance may affect the performance of another, sometimes adversely. The default configuration of Red Hat Enterprise Linux 6 is optimal for most services running under moderate loads. The procedures enumerated in the Performance Tuning Guide were tested extensively by Red Hat engineers in both lab and field. However, Red Hat recommends that you properly test all planned configurations in a secure testing environment before applying it to your production servers. You should also back up all data and configuration information before you start tuning your system. This book is suitable for two types of readers. SystemBusiness Analyst. This book enumerates and explains Red Hat Enterprise Linux 6 performance features at a high level, providing enough information on how subsystems perform for specific workloads both by default and when optimized. The level of detail used in describing Red Hat Enterprise Linux 6 performance features helps potential customers and sales engineers understand the suitability of this platform in providing resource intensive services at an acceptable level. The Performance Tuning Guide also provides links to more detailed documentation on each feature whenever possible. At that detail level, readers can understand these performance features enough to form a high level strategy in deploying and optimizing Red Hat Enterprise Linux 6. This allows readers to both develop and evaluate infrastructure proposals. This feature focused level of documentation is suitable for readers with a high level understanding of Linux subsystems and enterprise level networks. System Administrator. The procedures enumerated in this book are suitable for system administrators with RHCE skill level or its equivalent, that is, 3 5 years experience in deploying and managing Linux. The Performance Tuning Guide aims to provide as much detail as possible about the effects of each configuration this means describing any performance trade offs that may occur. The underlying skill in performance tuning lies not in knowing how to analyze and tune a subsystem. Rather, a system administrator adept at performance tuning knows how to balance and optimize a Red Hat Enterprise Linux 6 system for a specific purpose. This means also knowing which trade offs and performance penalties are acceptable when attempting to implement a configuration designed to boost a specific subsystems performance. New features in Red Hat Enterprise Linux 6. Horizontal Scalability. Red Hats efforts in improving the performance of Red Hat Enterprise Linux 6 focus on scalability. Performance boosting features are evaluated primarily based on how they affect the platforms performance in different areas of the workload spectrum that is, from the lonely web server to the server farm mainframe. Focusing on scalability allows Red Hat Enterprise Linux to maintain its versatility for different types of workloads and purposes. At the same time, this means that as your business grows and your workload scales up, re configuring your server environment is less prohibitive in terms of cost and man hours and more intuitive. Red Hat makes improvements to Red Hat Enterprise Linux for both horizontal scalability and vertical scalability however, horizontal scalability is the more generally applicable use case. The idea behind horizontal scalability is to use multiple standard computers to distribute heavy workloads in order to improve performance and reliability. In a typical server farm, these standard computers come in the form of 1. U rack mounted servers and blade servers. Each standard computer may be as small as a simple two socket system, although some server farms use large systems with more sockets. What Is A Fentanyl Patch Made Of. Some enterprise grade networks mix large and small systems in such cases, the large systems are high performance servers for example, database servers and the small ones are dedicated application servers for example, web or mail servers. This type of scalability simplifies the growth of your IT infrastructure a medium sized business with an appropriate load might only need two pizza box servers to suit all their needs. As the business hires more people, expands its operations, increases its sales volumes and so forth, its IT requirements increase in both volume and complexity. Horizontal scalability allows IT to simply deploy additional machines with mostly identical configurations as their predecessors. To summarize, horizontal scalability adds a layer of abstraction that simplifies system hardware administration. By developing the Red Hat Enterprise Linux platform to scale horizontally, increasing the capacity and performance of IT services can be as simple as adding new, easily configured machines. Parallel Computing. Users benefit from Red Hat Enterprise Linuxs horizontal scalability not just because it simplifies system hardware administration but also because horizontal scalability is a suitable development philosophy given the current trends in hardware advancement. Consider this most complex enterprise applications have thousands of tasks that must be performed simultaneously, with different coordination methods between tasks. While early computers had a single core processor to juggle all these tasks, virtually all processors available today have multiple cores. Effectively, modern computers put multiple cores in a single socket, making even single socket desktops or laptops multi processor systems. As of 2. 01. 0, standard Intel and AMD processors were available with two to sixteen cores. Such processors are prevalent in pizza box or blade servers, which can now contain as many as 4. These low cost, high performance systems bring large system capabilities and characteristics into the mainstream. To achieve the best performance and utilization of a system, each core must be kept busy.