Systems Performance: Enterprise and the Cloud

By | June 22, 2017
Systems Performance: Enterprise and the Cloud Author Brendan Gregg
ISBN-10 0133390098
ISBN-13 9780133390094
Year 2013-10-26
Pages 792
Language English
Publisher Prentice Hall
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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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