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DevOps with Kubernetes

DevOps with Kubernetes

By : Hideto Saito, Hui-Chuan Chloe Lee, Wu
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DevOps with Kubernetes

DevOps with Kubernetes

By: Hideto Saito, Hui-Chuan Chloe Lee, Wu

Overview of this book

Kubernetes has been widely adopted across public clouds and on-premise data centers. As we're living in an era of microservices, knowing how to use and manage Kubernetes is an essential skill for everyone in the IT industry. This book is a guide to everything you need to know about Kubernetes—from simply deploying a container to administrating Kubernetes clusters wisely. You'll learn about DevOps fundamentals, as well as deploying a monolithic application as microservices and using Kubernetes to orchestrate them. You will then gain an insight into the Kubernetes network, extensions, authentication and authorization. With the DevOps spirit in mind, you'll learn how to allocate resources to your application and prepare to scale them efficiently. Knowing the status and activity of the application and clusters is crucial, so we’ll learn about monitoring and logging in Kubernetes. Having an improved ability to observe your services means that you will be able to build a continuous delivery pipeline with confidence. At the end of the book, you'll learn how to run managed Kubernetes services on three top cloud providers: Google Cloud Platform, Amazon Web Services, and Microsoft Azure.
Table of Contents (14 chapters)
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Updating resources

Continuous Delivery (CD), as we described in Chapter 1, Introduction to DevOps, is a set of operations including Continuous Integration (CI) and the ensuing deployment tasks. The CI flow is made up of elements such as version control systems, buildings, and different levels of validation, which aim to eliminate the effort to integrate every change in the main release line. Tools to implement functions are usually at the application layer, which might be independent to the underlying infrastructure. Even so, when it comes to the deployment part, understanding and dealing with infrastructure is still inevitable. Deployment tasks are tightly coupled with the platform our application is running on, no matter which practice, continuous delivery or continuous deployment, we're implementing. For instance, in an environment where the software runs on baremetal...

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