The accelerating deployment of large-scale web, cloud, Big Data, and virtualized computing systems has introduced serious new challenges in performance optimization. Until now, however, little reliable, practical information has been available to IT professionals who are responsible for running these systems efficiently and cost-effectively.
Systems Performance: Enterprise and the Cloud is the solution. Internationally renowned performance optimization expert Brendan Gregg brings together state-of-the-art techniques and tools for analysis and tuning of large-scale web/cloud computing environments.
Gregg focuses on Linux/Unix/Solaris performance issues, while offering proven methodologies and discussing key issues that apply to all enterprise operating systems. Coverage includes:
Modern performance analysis and capacity planning, including key issues such as latency and dynamic tracing
New performance and reliability challenges associated with cloud computing
Methodology, concepts, terminology, tools, and metrics
Key tradeoffs, including problems of load vs. architecture
Tuning operating systems, CPUs, memory, file systems, disks, networks, and busses
Tuning virtualized systems
Programming language issues related to performance — including application profiling for C, C++, Java, and node.js
Benchmarking strategies and pitfalls, including custom microbenchmarking
Brendan Gregg (San Francisco, CA area) is Lead Performance Engineer at Joyent, where he analyzes performance and scalability for small to large cloud computing environments, at any level of the software stack. He is primary author of DTrace and co-author of Solaris Performance and Tools (both from Prentice Hall); as well as numerous articles about systems performance. Previously performance lead and kernel engineer at Sun Microsystems, he has also consulted and trained IT professionals on performance optimization. He developed DTraceToolkit and ZFS L2ARC, and many of his DTrace scripts are shipped by default in Mac OS X and Oracle Solaris 11. His recent work has included performance visualizations.
相对来说,读起来累是比较次要的。 读到第 83 页读不下去了,82/83 页有一段是这样的: ...... 而是只添加一个系统调用:perf_event_open(),它会用 ioctl() 返回一个文件描述符。...... 在这种情况下,开发人员可以很容易地对参数 PERF_EVENT_IOC_ENABLE 做添加和修改。 找了...
评分 评分 评分 评分大师之作,不仅介绍了性能分析和排障的各种工具,更是总结了性能分析和排障的方法论,帮助我们不仅看到性能问题,更为我们指了一条追根溯源的路。
评分真长...看了好久。工程问题科学化典范。Brendan 在不了解 Redis 工作机制情况下,暴力破解出 bgsave 造成的延迟问题也是炸天 diao。
评分对于存储和网络都比较熟悉的童稚可以直奔最后一章,案例分析。精华在于dtrace脚本及其它各种统计工具的使用。
评分非常实用,介绍到很多工具,目前最好的性能调优工具书。
评分还不错,作者的功底相当深厚。
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