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As more companies move toward microservices and other distributed technologies, the complexity of these systems increases. You can’t remove the complexity, but through Chaos Engineering you can discover vulnerabilities and prevent outages before they impact your customers. This practical guide shows engineers how to navigate complex systems while optimizing to meet business goals. Two of the field’s prominent figures, Casey Rosenthal and Nora Jones, pioneered the discipline while working together at Netflix. In this book, they expound on the what, how, and why of Chaos Engineering while facilitating a conversation from practitioners across industries. Many chapters are written by contributing authors to widen the perspective across verticals within (and beyond) the software industry. Learn how Chaos Engineering enables your organization to navigate complexity Explore a methodology to avoid failures within your application, network, and infrastructure Move from theory to practice through real-world stories from industry experts at Google, Microsoft, Slack, and LinkedIn, among others Establish a framework for thinking about complexity within software systems Design a Chaos Engineering program around game days and move toward highly targeted, automated experiments Learn how to design continuous collaborative chaos experiments

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Genre: Computers
Author: Casey Rosenthal
Publisher: O'Reilly Media
Release: 2020-04-06
File: 308 Pages
ISBN-13: 9781492043836

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With so many interacting components, the number of things that can go wrong in a distributed system is enormous. You'll never be able to prevent all possible failure modes, but you can identify many of the weaknesses in your system before they're triggered by these events. This report introduces you to Chaos Engineering, a method of experimenting on infrastructure that lets you expose weaknesses before they become a real problem. Members of the Netflix team that developed Chaos Engineering explain how to apply these principles to your own system. By introducing controlled experiments, you'll learn how emergent behavior from component interactions can cause your system to drift into an unsafe, chaotic state. Hypothesize about steady state by collecting data on the health of the system Vary real-world events by turning off a server to simulate regional failures Run your experiments as close to the production environment as possible Ramp up your experiment by automating it to run continuously Minimize the effects of your experiments to keep from blowing everything up Learn the process for designing chaos engineering experiments Use the Chaos Maturity Model to map the state of your chaos program, including realistic goals.

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Genre: Engineering
Author: Casey Rosenthal
Publisher:
Release: 2017
File: 71 Pages
ISBN-13: OCLC:1099553427

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Most companies work hard to avoid costly failures, but in complex systems a better approach is to embrace and learn from them. Through chaos engineering, you can proactively hunt for evidence of system weaknesses before they trigger a crisis. This practical book shows software developers and system administrators how to plan and run successful chaos engineering experiments. System weaknesses go beyond your infrastructure, platforms, and applications to include policies, practices, playbooks, and people. Author Russ Miles explains why, when, and how to test systems, processes, and team responses using simulated failures on Game Days. You’ll also learn how to work toward continuous chaos through automation with features you can share across your team and organization. Learn to think like a chaos engineer Build a hypothesis backlog to determine what could go wrong in your system Develop your hypotheses into chaos engineering experiment Game Days Write, run, and learn from automated chaos experiments using the open source Chaos Toolkit Turn chaos experiments into tests to confirm that you’ve overcome the weaknesses you discovered Observe and control your automated chaos experiments while they are running

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Genre: Computers
Author: Russ Miles
Publisher: "O'Reilly Media, Inc."
Release: 2019-07-12
File: 178 Pages
ISBN-13: 9781492050957

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In Chaos Engineering: Crash test your applications, you’ll learn to design and execute controlled failure experiments that reveal the hidden problems in your software. Using a toolbox of open source tools, you’ll inject system-shaking failures at every level. Auto engineers test the safety of a car by intentionally crashing it and carefully observing the results. Chaos engineering applies the same principles to software systems. Chaos Engineering: Crash test your applications teaches you to think like a chaos engineer and how to design the proper experiments to ensure the reliability of your software. In Chaos Engineering: Crash test your applications, you’ll learn to design and execute controlled failure experiments that reveal the hidden problems in your software. Using a toolbox of open source tools, you’ll inject system-shaking failures at every level. With examples that cover a whole spectrum of software, you’ll be ready to run an intensive testing regime on anything from a simple WordPress site to a massive distributed system running on Kubernetes. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

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Genre: Computers
Author: Mikolaj Pawlikowski
Publisher: Manning Publications
Release: 2021-02-23
File: 325 Pages
ISBN-13: 1617297755

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BOOK EXCERPT:

Most companies work hard to avoid costly failures, but in complex systems a better approach is to embrace and learn from them. Through chaos engineering, you can proactively hunt for evidence of system weaknesses before they trigger a crisis. This practical book shows software developers and system administrators how to plan and run successful chaos engineering experiments. System weaknesses go beyond your infrastructure, platforms, and applications to include policies, practices, playbooks, and people. Author Russ Miles explains why, when, and how to test systems, processes, and team responses using simulated failures on Game Days. You’ll also learn how to work toward continuous chaos through automation with features you can share across your team and organization. Learn to think like a chaos engineer Build a hypothesis backlog to determine what could go wrong in your system Develop your hypotheses into chaos engineering experiment Game Days Write, run, and learn from automated chaos experiments using the open source Chaos Toolkit Turn chaos experiments into tests to confirm that you’ve overcome the weaknesses you discovered Observe and control your automated chaos experiments while they are running

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Genre: Computers
Author: Russ Miles
Publisher: O'Reilly Media
Release: 2019-07-12
File: 178 Pages
ISBN-13: 9781492050971

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Genre:
Author: Michael Smith
Publisher:
Release: 2019
File: Pages
ISBN-13: OCLC:1125756557

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There are very few things as satisfying as destruction, especially when we're frustrated.How often did it happen that you have an issue that you cannot solve and that you just want to scream or destroy things? Did you ever have a problem in production that is negatively affecting a lot of users? Were you under a lot of pressure to solve it, but you could not "crack" it as fast as you should. It must have happened, at least once, that you wanted to take a hammer and destroy servers in your datacenter. If something like that never happened to you, then you were probably never in a position under a lot of pressure. In my case, there were countless times when I wanted to destroy things. But I didn't, for quite a few reasons. Destruction rarely solves problems, and it usually leads to negative consequences. I cannot just go and destroy a server and expect that I will not be punished. I cannot hope to be rewarded for such behavior.What would you say if I tell you that we can be rewarded for destruction and that we can do a lot of good things by destroying stuff? If you don't believe me, you will soon. That's what chaos engineering is about. It is about destroying, obstructing, and delaying things in our servers and in our clusters. And we're doing all that, and many other things, for a very positive outcome.Chaos engineering tries to find the limits of our system. It helps us deduce what are the consequences when bad things happen. We are trying to simulate the adverse effects in a controlled way. We are trying to do that as a way to improve our systems to make them more resilient and capable of recuperating and resisting harmful and unpredictable events.That's our mission. We will try to find ways how we can improve our systems based on the knowledge that we will obtain through the chaos.

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Genre:
Author: Darin Pope
Publisher:
Release: 2020-04-10
File: 206 Pages
ISBN-13: 9798634359939

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The instant New York Times bestseller, now available in paperback and featuring a new afterword from the author—the insider's guide to the Facebook/Cambridge Analytica scandal, the inner workings of the tech world, and who really runs Silicon Valley “Incisive.... The most fun business book I have read this year.... Clearly there will be people who hate this book — which is probably one of the things that makes it such a great read.” — Andrew Ross Sorkin, New York Times Imagine a chimpanzee rampaging through a datacenter powering everything from Google to Facebook. Infrastructure engineers use a software version of this “chaos monkey” to test online services’ robustness—their ability to survive random failure and correct mistakes before they actually occur. Tech entrepreneurs are society’s chaos monkeys. One of Silicon Valley’s most audacious chaos monkeys is Antonio García Martínez. After stints on Wall Street and as CEO of his own startup, García Martínez joined Facebook’s nascent advertising team. Forced out in the wake of an internal product war over the future of the company’s monetization strategy, García Martínez eventually landed at rival Twitter. In Chaos Monkeys, this gleeful contrarian unravels the chaotic evolution of social media and online marketing and reveals how it is invading our lives and shaping our future.

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Genre: Business & Economics
Author: Antonio Garcia Martinez
Publisher: HarperCollins
Release: 2018-07-24
File: 320 Pages
ISBN-13: 9780062884480

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A desription of the new mathematical ideas in nonlinear dynamics in such a way that engineers can apply them to real physical systems.

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Genre: Mathematics
Author: Tomasz Kapitaniak
Publisher: Springer Science & Business Media
Release: 2012-12-06
File: 144 Pages
ISBN-13: 9783642571435

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Soft Computing has emerged as an important approach towards achieving intelligent computational paradigms where key elements are learning from experience in the presence of uncertainties, fuzzy belief functioos, and ·evolutioo of the computing strategies of the learning agent itself. Fuzzy, neural and evolutionary computing are the three major themes of soft computing. The book presents original research papers dealing with the theory of soft computing and its applicatioos in engineering design and manufacturing. The methodologies have been applied to a large variety of real life problems. Applicatioo of soft computing has provided the opportunity to integrate human like 'vagueness' and real life 'uncertainty' to an otherwise 'hard' computer programme. Now, a computer programme can learn, adapt, and evolve using soft computing. The book identifies the strengths and Iimitatioos of soft cOOlputing techniques, particularly with reference to their engineering applications. The applications range fran design optimisatioo to scheduling and image analysis. Goal optimisatioo with incomplete infmnatioo and under uncertainty is the key to solving real-life problems in design and manufacturing. Soft computing techniques presented in this book address these issues. Computatiooal complexity and efficient implementatioo of these techniques are also major concerns for realising useful industrial applications of soft computing. The different parts in the book also address these issues. The book cootains 9 parts, 8 of which are based 00 papers fran the '2nd On-line World Conference 00 Soft Computing in Engineering Design and Manufacture (WSC2),.

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Genre: Computers
Author: Pravir K. Chawdhry
Publisher: Springer Science & Business Media
Release: 2012-12-06
File: 480 Pages
ISBN-13: 9781447104278

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