Jennifer Petoff

Betsy Beyer

Niall Richard Murphy

Chris Jones

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

How Google Runs Production Systems

Site Reliability Engineering

Kent Kawahara

David K. Rensin

Stephen Thorne

"Companion to the bestselling SRE book"--Cover.

Practical Ways to Implement SRE

The Site Reliability Workbook

Cathy Chen

Kranti Parisa

D. Sculley

Todd Underwood

Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization.

By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guest authors show you how to run an efficient and reliable ML system. Whether you want to increase revenue, optimize decision making, solve problems, or understand and influence customer behavior, you'll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind.

You'll examine:

What ML is: how it functions and what it relies on
Conceptual frameworks for understanding how ML "loops" work
How effective productionization can make your ML systems easily monitorable, deployable, and operable
Why ML systems make production troubleshooting more difficult, and how to compensate accordingly
How ML, product, and production teams can communicate effectively

Reliable Machine Learning

A maior parte do tempo de vida de um sistema de software se dá em seu uso, e não no design ou na implementação. Então, por que a sabedoria convencional insiste que os engenheiros de software devam se concentrar principalmente nas fases de design e de desenvolvimento dos sistemas computacionais de larga escala? Nesta coletânea de dissertações e artigos, membros essenciais da equipe de SRE (Site Reliability Engineering – Engenharia de Confiabilidade) do Google explicam como e por que seu comprometimento com todo o ciclo de vida tem permitido que a empresa desenvolva, implante, monitore e mantenha alguns dos maiores sistemas de software do mundo com sucesso. Você conhecerá os princípios e as práticas que possibilitam aos engenheiros do Google deixar os sistemas mais escaláveis, confiáveis e eficientes – lições que podem ser diretamente aplicáveis à sua empresa. Este livro está dividido em quatro partes: •Introdução – Saiba o que é SRE e por que ela difere das práticas convencionais do mercado de TI. •Princípios – Analise os padrões, os comportamentos e as áreas de preocupação que influenciam o trabalho de um SRE (Site Reliability Engineer – Engenheiro de Confiabilidade). •Práticas – Entenda a teoria e a prática do trabalho cotidiano de um SRE: desenvolver e operar sistemas computacionais distribuídos de grande porte. •Gerenciamento – Explore as melhores práticas do Google para treinamento, comunicação e reuniões, que poderão ser usadas pela sua empresa.

Como o Google administra seus sistemas de produção

Engenharia de Confiabilidade do Google

In 2016, Google’s Site Reliability Engineering book ignited an industry discussion on what it means to run production services today—and why reliability considerations are fundamental to service design. Now, Google engineers who worked on that bestseller introduce The Site Reliability Workbook, a hands-on companion that uses concrete examples to show you how to put SRE principles and practices to work in your environment. This new workbook not only combines practical examples from Google’s experiences, but also provides case studies from Google’s Cloud Platform customers who underwent this journey. Evernote, The Home Depot, The New York Times, and other companies outline hard-won experiences of what worked for them and what didn’t. Dive into this workbook and learn how to flesh out your own SRE practice, no matter what size your company is. You’ll learn: How to run reliable services in environments you don’t completely control—like cloud Practical applications of how to create, monitor, and run your services via Service Level Objectives How to convert existing ops teams to SRE—including how to dig out of operational overload Methods for starting SRE from either greenfield or brownfield

Niall Richard Murphy

Books

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