The Performance of Open Source Applications: Speed, Precision, and a Bit of Serendipity

The Performance of Open Source Applications: Speed, Precision, and a Bit of Serendipity

Written by real developers who have had to make an existing system faster or who had to design something to be fast in the first place, this book will help you become a better developer by letting you look over these experts' shoulders.

Publication date: 07 Oct 2013

ISBN-10: n/a

ISBN-13: 9781304488787

Paperback: 181 pages

Views: 2,652

Type: Book

Publisher: Lulu.com

License: Creative Commons Attribution 3.0 Unported

Post time: 16 Dec 2016 08:20:00

The Performance of Open Source Applications: Speed, Precision, and a Bit of Serendipity

The Performance of Open Source Applications: Speed, Precision, and a Bit of Serendipity Written by real developers who have had to make an existing system faster or who had to design something to be fast in the first place, this book will help you become a better developer by letting you look over these experts' shoulders.
Tag(s): Algorithms and Data Structures Software Libre and Open Source
Publication date: 07 Oct 2013
ISBN-10: n/a
ISBN-13: 9781304488787
Paperback: 181 pages
Views: 2,652
Document Type: Book
Publisher: Lulu.com
License: Creative Commons Attribution 3.0 Unported
Post time: 16 Dec 2016 08:20:00
Summary/Excerpts of (and not a substitute for) the Creative Commons Attribution 3.0 Unported:
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Click here to read the full license.
From the Introduction:
Tavish Armstrong wrote:It’s commonplace to say that computer hardware is now so fast that most developers don’t have to worry about performance. In fact, Douglas Crockford declined to write a chapter for this book for that reason:

"If I were to write a chapter, it would be about anti-performance: most effort spent in pursuit of performance is wasted. I don’t think that is what you are looking for."

Donald Knuth made the same point thirty years ago:

"We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil."

but between mobile devices with limited power and memory, and data analysis projects that need to process terabytes, a growing number of developers do need to make their code faster, their data structures smaller, and their response times shorter. However, while hundreds of textbooks explain the basics of operating systems, networks, computer graphics, and databases, few (if any) explain how to find and fix things in real applications that are simply too damn slow.

This collection of case studies is our attempt to fill that gap. Each chapter is written by real developers who have had to make an existing system faster or who had to design something to be fast in the first place. They cover many different kinds of software and performance goals; what they have in common is a detailed understanding of what actually happens when, and how the different parts of large applications fit together. Our hope is that this book will—like its predecessor The Architecture of Open Source Applications—help you become a better developer by letting you look over these experts’ shoulders.




About The Editor(s)


Tavish is a software engineer at Stripe, San Francisco since June 2014. He studied software engineering at Concordia University.

Tavish Armstrong

Tavish is a software engineer at Stripe, San Francisco since June 2014. He studied software engineering at Concordia University.


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