How long does it take to read Systems Performance?
Enterprise and the Cloud
Brendan Gregg
Systems Performance by Brendan Gregg takes about 17 hours 1 minute to read at 250 words a minute.
About 17 hours 1 minute
A long haul
First published 2013. 928 pages, about 255,200 words.
35 days (about 5 weeks) at 30 minutes a day
Estimate based on 275 words per page.
At other speeds
| Slow, 150 words a minute | 28 hours 21 minutes |
| Average, 250 words a minute | 17 hours 1 minute |
| Fast, 400 words a minute | 10 hours 38 minutes |
The page count is the median across 6 editions, so your copy may differ. How we calculate.
About the book
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…
Subjects: Operating systems (computers), Application software, Business enterprises, Evaluation, Data processing, Cloud computing
