Analyzing Computer System Performance with Perl::PDQ
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Beschreibung
Analyzing computer system performance is often regarded by most system administrators, IT professionals and software engineers as a black art that is too time consuming to learn and apply. Finally, this book by acclaimed performance analyst Dr. Neil Gunther makes this subject understandable and applicable through programmatic examples. The means to this end is the open-source performance analyzer Pretty Damn Quick (PDQ) written in Perl and available for download from the author’s Website: www.perfdynamics.com.
As the epigraph in this book points out, Common sense is the pitfall of performance analysis. The performance analysis framework that replaces common sense is revealed in the first few chapters of Part I. The important queueing concepts embedded in PDQ are explained in a very simple style that does not require any knowledge of formal probability theory. Part II begins with a full specification of how to set up and use PDQ replete with examples written in Perl. Subsequent chapters present applications of PDQ to the performance analysis of multicomputer architectures, benchmark results, client/server scalability, and Web-based applications. The examples are not mere academic toys but are based on the author's experience analyzing the performance of large-scale systems over the past 20 years. By following his lead, you will quickly be able to set up your own Perl scripts for collecting data and exploring performance-by-design alternatives without inflating your manager’s schedule.
Analyzing computer systems performance has always been both a tedious and recurring task of system administrators, programmers and project managers. Finally this new book by acclaimed performance analyst Neil J. Gunther makes this difficult subject understandable and manageable. After a minimum of clearly explained queuing and probability theory, Gunther presents hands-on techniques and sample PERL scripts using the open source tool Pretty Damn Quick. Separate chapters deal with performance analysis of multicomputer architectures, client/server systems, and web applications. The text includes numerous examples that address systems of a realistic scale.
Autor*in
Neil J. Gunther
Themen in »Analyzing Computer System Performance with Perl::PDQ«
Information Technology (IT) Linux Open-Source Perl Scala architecture calculus computer computer architecture design performance software system administrator system theory time
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From the reviews:
"The literature of computer performance analysis is generally composed of two groups: heavy theoretical treatises and performance cookbooks. … Surprisingly, this book is exceptionally well balanced between theory and practice … . I strongly recommend this book, both for the novice practitioner and for the experienced performance analyst. Both can extract a vast array of benefits, ranging from understanding the theoretical concepts of performance modeling, to building for themselves a powerful modeling tool … ." (Jair Merlo, Computing Reviews, May, 2005)
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