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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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Continuous Delivery

At the beginning of this book, we started by containerizing our applications, orchestrating them with Kubernetes, persisting their data, and exposing our service to the outside world. Later, we gained more confidence in our services by setting up monitoring and logging, and we made them scale in and out in a fully automatic manner. We'd now like to set our service on course by delivering our latest features and improvements to our services continuously in Kubernetes. We'll learn about the following topics in this chapter:

  • Updating Kubernetes resources
  • Setting up a delivery pipeline
  • How to improve the deployment process
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