Rating: Not rated
Tags: Computers, Operating Systems, Unix, Lang:en
Publisher: Prentice Hall
Added: October 18, 2020
Modified: November 5, 2021
Summary
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 Linux® and
Unix® performance, while illuminating performance issues
that are relevant to all operating systems. You’ll 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
Gregg’s extensive instructional experience.