The Complete Guide to Optimizing Systems Performance Written by the winner of the 2013 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 LinuxAr and UnixAr performance, while illuminating performance issues that are relevant to all operating systems. Youall 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 UbuntuAr, FedoraAr, CentOS, and the illumos-based JoyentAr SmartOSac and OmniTI OmniOSAr. He systematically covers modern systems performance, including the atraditionala 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 aunknown unknownsa 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 ac Modern performance analysis and tuning: terminology, concepts, models, methods, and techniques ac Dynamic tracing techniques and tools, including examples of DTrace, SystemTap, and perf ac Kernel internals: uncovering what the OS is doing ac Using system observability tools, interfaces, and frameworks ac Understanding and monitoring application performance ac Optimizing CPUs: processors, cores, hardware threads, caches, interconnects, and kernel scheduling ac Memory optimization: virtual memory, paging, swapping, memory architectures, busses, address spaces, and allocators ac File system I/O, including caching ac Storage devices/controllers, disk I/O workloads, RAID, and kernel I/O ac Network-related performance issues: protocols, sockets, interfaces, and physical connections ac Performance implications of OS and hardware-based virtualization, and new issues encountered with cloud computing ac 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 Greggas extensive instructional experience.This book also helps you identify and fix the aunknown unknownsa of complex performance: bottlenecks that emerge from elements and interactions you were not aware of.
|Publisher||:||Prentice Hall - 2013-10-07|