Systems Performance: Enterprise and the Cloud

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$25.79 - $83.19
UPC:
9780133390094
Binding:
Paperback
Publication Date:
2013-10-26
Release Date:
2012-01-15
Author:
Brendan Gregg
Language:
english
Edition:
1

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Product Overview

The Complete Guide to Optimizing Systems Performance

Written by the winner of the2013 LISA Award for Outstanding Achievement in System Administration


Large-scale enterprise, cloud, and virtualized computing systems have introduced serious performance challenges. Now, internationally renowned performance expert Brendan Gregg has brought together proven methodologies, tools, and metrics for analyzing and tuning even the most complex environments. Systems Performance: Enterprise and the Cloud focuses on Linux and Unix performance, while illuminating performance issues that are relevant to all operating systems. Youll gain deep insight into how systems work and perform, and learn methodologies for analyzing and improving system and application performance. Gregg presents examples from bare-metal systems and virtualized cloud tenants running Linux-based Ubuntu, Fedora, CentOS, and the illumos-based Joyent SmartOS and OmniTI OmniOS. He systematically covers modern systems performance, including the traditional analysis of CPUs, memory, disks, and networks, and new areas including cloud computing and dynamic tracing. This book also helps you identify and fix the unknown unknowns of complex performance: bottlenecks that emerge from elements and interactions you were not aware of. The text concludes with a detailed case study, showing how a real cloud customer issue was analyzed from start to finish.

Coverage includes

Modern performance analysis and tuning: terminology, concepts, models, methods, and techniques

Dynamic tracing techniques and tools, including examples of DTrace, SystemTap, and perf

Kernel internals: uncovering what the OS is doing

Using system observability tools, interfaces, and frameworks

Understanding and monitoring application performance

Optimizing CPUs: processors, cores, hardware threads, caches, interconnects, and kernel scheduling

Memory optimization: virtual memory, paging, swapping, memory architectures, busses, address spaces, and allocators

File system I/O, including caching

Storage devices/controllers, disk I/O workloads, RAID, and kernel I/O

Network-related performance issues: protocols, sockets, interfaces, and physical connections

Performance implications of OS and hardware-based virtualization, and new issues encountered with cloud computing

Benchmarking: getting accurate results and avoiding common mistakes

This guide is indispensable for anyone who operates enterprise or cloud environments: system, network, database, and web admins; developers; and other professionals. For students and others new to optimization, it also provides exercises reflecting Greggs extensive instructional experience.

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