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  • Book Overview & Buying Introduction to DevOps with Kubernetes
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Introduction to DevOps with Kubernetes

Introduction to DevOps with Kubernetes

By : Onur Yılmaz , Süleyman Akba≈ü
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Introduction to DevOps with Kubernetes

Introduction to DevOps with Kubernetes

5 (1)
By: Onur Yılmaz , Süleyman Akba≈ü

Overview of this book

Kubernetes and DevOps are the two pillars that can keep your business at the top by ensuring high performance of your IT infrastructure. Introduction to DevOps with Kubernetes will help you develop the skills you need to improve your DevOps with the power of Kubernetes. The book begins with an overview of Kubernetes primitives and DevOps concepts. You'll understand how Kubernetes can assist you with overcoming a wide range of real-world operation challenges. You will get to grips with creating and upgrading a cluster, and then learn how to deploy, update, and scale an application on Kubernetes. As you advance through the chapters, you’ll be able to monitor an application by setting up a pod failure alert on Prometheus. The book will also guide you in configuring Alertmanager to send alerts to the Slack channel and trace down a problem on the application using kubectl commands. By the end of this book, you’ll be able to manage the lifecycle of simple to complex applications on Kubernetes with confidence.
Table of Contents (11 chapters)
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Fundamental Kubernetes Resources


Kubernetes creates a powerful abstraction to provide life cycle management of scalable and robust cloud-native applications. Master and node components, as discussed in the previous chapters, work continuously to fulfill the desired state of workloads defined by the users using the Kubernetes API and client tools. In this section, different Kubernetes concepts and resources are explained with their essentials and real-life practices.

The Pod

The pod is the building block of Kubernetes computation objects. A pod consists of containers that are tightly coupled and should be treated as a single application. These containers in the same pod are always scheduled on the same node since they share volume and networking interfaces. Therefore, the pod can be imagined as an encapsulated set of containers that should work together and share the same life cycle, such as scaling up or down together.

Pods can be defined with just one container and its associated metadata...

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