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Introduction to DevOps with Kubernetes
Introduction to DevOps with Kubernetes

Introduction to DevOps with Kubernetes: Build scalable cloud-native applications using DevOps patterns created with Kubernetes

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Profile Icon Onur Yılmaz Profile Icon Süleyman Akba≈ü
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$19.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Paperback May 2019 374 pages 1st Edition
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Arrow left icon
Profile Icon Onur Yılmaz Profile Icon Süleyman Akba≈ü
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$19.99 per month
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Paperback May 2019 374 pages 1st Edition
eBook
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Paperback
$43.99
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Introduction to DevOps with Kubernetes

Introduction to Docker


Docker is an open source container runtime system based on Linux containers. Linux containers use Linux kernel features such as namespaces, control groups (cgroups), and layered filesystems:

Namespaces and cgroups surround the containers that are to be isolated and limited; whereas a layered filesystem consists of what is shared and packaged inside the containers. When you consider the popularity of Docker, the following three essential features make it prominent:

The speed, vibrant ecosystem, and usability features of Docker make it the container runtime that comes to mind first. In order to learn about Docker in detail and use it, we need to cover some fundamental concepts next.

Note

You are required to have Docker Engine installed on your local system before starting on the fundamental concepts and the exercise. Download and install the Docker Desktop based on your local operating system from the Docker website at https://www.docker.com/products/docker-desktop.

  • Namespaces...

Building Docker Images


Docker images consist of applications with their dependencies and they are ready to be launched at scale. In addition, they are suitable to run on cloud servers and data centers because of their lightweight architecture. Docker images are created from the steps defined in Dockerfile, where each instruction forms a layer on top of the previous one. This layered design of images is the prominent feature that makes Docker images lightweight and quick to start. The underlying technology of layered Docker images is the union file system (UFS). The UFS can be considered as stackable layers of files and directories. Each layer is traceable back to its parent layer in a tree structure so that different branches can share the same root. In other words, if two container images have the same base image of ubuntu:18.10, this base image will not be replicated twice; Docker Engine will reuse the same base image to run these two containers. In the next sections, we will present Dockerfiles...

Running Docker Containers


Containers in Docker are considered ephemeral environments where executables are run, and no state is kept. This is partially true, since the data generated inside the container is only available in the same container. However, Docker Engine provides methods that allow you to share data between the host system and containers. In addition, the services inside the containers are reachable between the host system and other containers.

In this section, we will explain how to run Docker containers using volume and port mapping in order to show how containers are used for stateful services. Running a container starts by running processes, which are packaged as Docker images, as isolated containers. This could be initiated by the docker run command, or programmatically by using the Docker API on local or remote host systems. Docker Engine provides more than just running processes and it can attach networks or volumes, ensure runtime constraints on resources, or add Linux...

Summary


In this chapter, we first described the microservice architecture and compared it to monolith applications. We discussed how traditional methods for the development, building, testing, and runtime environments could fail for running microservices in a cloud-native environment. Then, we explored containers in detail and explained why they have become the de facto solution for microservices. Following this, we presented different container runtime environments and introduced Docker. The fundamental concepts of Docker containers were covered, including Docker Engine, client, image, and container terminology. Following the theoretical background, we built Docker images and stored them in registries. Finally, we ran Docker containers by sharing volumes and ports from host systems. At the end of the chapter, we used Docker containers to create a stateful popular MySQL database and a WordPress blog in order to show how multiple containers can work in harmony.

Docker concepts and operational...

Building Docker Images

Docker images consist of applications with their dependencies and they are ready to be launched at scale. In addition, they are suitable to run on cloud servers and data centers because of their lightweight architecture. Docker images are created from the steps defined in Dockerfile, where each instruction forms a layer on top of the previous one. This layered design of images is the prominent feature that makes Docker images lightweight and quick to start. The underlying technology of layered Docker images is the union file system (UFS). The UFS can be considered as stackable layers of files and directories. Each layer is traceable back to its parent layer in a tree structure so that different branches can share the same root. In other words, if two container images have the same base image of ubuntu:18.10, this base image will not be replicated twice; Docker Engine will reuse the same base image to run these two containers. In the next sections, we will present...

Running Docker Containers

Containers in Docker are considered ephemeral environments where executables are run, and no state is kept. This is partially true, since the data generated inside the container is only available in the same container. However, Docker Engine provides methods that allow you to share data between the host system and containers. In addition, the services inside the containers are reachable between the host system and other containers.

In this section, we will explain how to run Docker containers using volume and port mapping in order to show how containers are used for stateful services. Running a container starts by running processes, which are packaged as Docker images, as isolated containers. This could be initiated by the docker run command, or programmatically by using the Docker API on local or remote host systems. Docker Engine provides more than just running processes and it can attach networks or volumes, ensure runtime constraints on resources...

Summary

In this chapter, we first described the microservice architecture and compared it to monolith applications. We discussed how traditional methods for the development, building, testing, and runtime environments could fail for running microservices in a cloud-native environment. Then, we explored containers in detail and explained why they have become the de facto solution for microservices. Following this, we presented different container runtime environments and introduced Docker. The fundamental concepts of Docker containers were covered, including Docker Engine, client, image, and container terminology. Following the theoretical background, we built Docker images and stored them in registries. Finally, we ran Docker containers by sharing volumes and ports from host systems. At the end of the chapter, we used Docker containers to create a stateful popular MySQL database and a WordPress blog in order to show how multiple containers can work in harmony.

Docker concepts and...

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Key benefits

  • Learn everything from creating a cluster to monitoring applications in Kubernetes
  • Understand and develop DevOps primitives using Kubernetes
  • Use Kubernetes to solve challenging real-life DevOps problems

Description

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.

Who is this book for?

If you are a developer who wants to learn how to apply DevOps patterns using Kubernetes, then this book is for you. Familiarity with Kubernetes will be useful, but not essential.

What you will learn

  • Create and manage Kubernetes clusters in on-premise systems and cloud
  • Exercise various DevOps practices using Kubernetes
  • Explore configuration, secret, and storage management, and exercise these on Kubernetes
  • Perform different update techniques and apply them on Kubernetes
  • Use the built-in scaling feature in Kubernetes to scale your applications up and down
  • Use various troubleshooting techniques and have a monitoring system installed on Kubernetes

Product Details

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Publication date : May 22, 2019
Length: 374 pages
Edition : 1st
Language : English
ISBN-13 : 9781789808285
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Product Details

Publication date : May 22, 2019
Length: 374 pages
Edition : 1st
Language : English
ISBN-13 : 9781789808285
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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DevOps with Kubernetes
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Introduction to DevOps with Kubernetes
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Table of Contents

9 Chapters
Chapter 1: Introduction to DevOps Chevron down icon Chevron up icon
Chapter 2: Introduction to Microservices and Containers Chevron down icon Chevron up icon
Chapter 3: Introduction to Kubernetes Chevron down icon Chevron up icon
Chapter 4: Creating a Kubernetes Cluster Chevron down icon Chevron up icon
Chapter 5: Deploy an Application to Kubernetes Chevron down icon Chevron up icon
Chapter 6: Configuration and Storage Management in Kubernetes Chevron down icon Chevron up icon
Chapter 7: Updating and Scaling an Application in Kubernetes Chevron down icon Chevron up icon
Chapter 8: Troubleshooting Applications in Kubernetes Chevron down icon Chevron up icon
Chapter 9: Monitoring Applications in Kubernetes Chevron down icon Chevron up icon

Customer reviews

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GP Aug 14, 2020
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a great overview of the many systems existing in the world of databases, single-node and distributed
Amazon Verified review Amazon
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