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Practical DevOps, Second Edition

Practical DevOps, Second Edition

By : joakim verona
5 (1)
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Practical DevOps, Second Edition

Practical DevOps, Second Edition

5 (1)
By: joakim verona

Overview of this book

DevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all code workflows from testing environments to production environments. It stresses cooperation between different roles, and how they can work together more closely, as the roots of the word imply—Development and Operations. Practical DevOps begins with a quick refresher on DevOps and continuous delivery and quickly moves on to show you how DevOps affects software architectures. You'll create a sample enterprise Java application that you’'ll continue to work with through the remaining chapters. Following this, you will explore various code storage and build server options. You will then learn how to test your code with a few tools and deploy your test successfully. In addition to this, you will also see how to monitor code for any anomalies and make sure that it runs as expected. Finally, you will discover how to handle logs and keep track of the issues that affect different processes. By the end of the book, you will be familiar with all the tools needed to deploy, integrate, and deliver efficiently with DevOps.
Table of Contents (12 chapters)
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How to keep service interfaces forward compatible

Service interfaces must be allowed to evolve over time. This is natural, since the organization's needs change over time, and service interfaces reflect that to a degree.

How can we accomplish this? One way is to use a pattern that is sometimes called TolerantReader. This simply means that the consumer of a service should ignore data that it doesn't recognize.

This is a method that lends itself well to REST implementations.

Simple Object Access Protocol (SOAP), which is an XML schema-based method to define services, is more rigorous. With SOAP, you normally don't change existing interfaces. Interfaces are seen as contracts that should be constant. Instead of changing the interface, you define a new schema version. Existing consumers either have to implement the new protocol and then deploy it again, or the producer...

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