Site Reliability Engineering (2016)


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Site Reliability Engineering (2016)
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The overwhelming majority of a software system’s lifespan is spent in use, not
in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the
design and development of large-scale computing systems?    In this collection of essays and articles, key members of
Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the
company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world.
You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable,
and efficient—lessons directly applicable to your organization.    This book is divided into four sections:   
Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry
practices  Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site
reliability engineer (SRE)  Practices—Understand the theory and practice of an SRE’s day-to-day work:
building and operating large distributed computing systems  Management—Explore Google's best practices for
training, communication, and meetings that your organization can use


Bibliographic information
     Title	Site Reliability Engineering: How Google Runs Production Systems  Authors	Betsy Beyer, Chris Jones, Jennifer
Petoff, Niall Richard Murphy  Publisher	"O'Reilly Media, Inc.", 2016  ISBN	1491951184, 9781491951187 
Length	552 pages  Subjects	Computers › System Administration › Disaster & Recovery    Computers /
Software Development & Engineering / Project Management  Computers / Software Development & Engineering /
Quality Assurance & Testing  Computers / Software Development & Engineering / Systems Analysis & Design 
Computers / System Administration / Disaster & Recovery  Computers / System Administration / General  Computers /
System Administration / Linux & UNIX Administration  Computers / Systems Architecture / Distributed Systems &
Computing

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