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DevOps with Kubernetes
DevOps with Kubernetes

DevOps with Kubernetes: Accelerating software delivery with container orchestrators

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Profile Icon Hideto Saito Profile Icon Hui-Chuan Chloe Lee Profile Icon Wu
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€18.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (4 Ratings)
Paperback Oct 2017 382 pages 1st Edition
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Arrow left icon
Profile Icon Hideto Saito Profile Icon Hui-Chuan Chloe Lee Profile Icon Wu
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€18.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (4 Ratings)
Paperback Oct 2017 382 pages 1st Edition
eBook
€22.99 €32.99
Paperback
€41.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€22.99 €32.99
Paperback
€41.99
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Renews at €18.99p/m

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DevOps with Kubernetes

DevOps with Container

We are already familiar with a lot of DevOps tools that help us automate tasks and manage configuration at different stages of application delivery, but challenges still exist as applications become more micro and diverse. In this chapter, we will add another swiss army knife to our tool belt, namely Container. In doing so, we will seek to acquire the following skills:

  • Container concepts and fundamentals
  • Running Docker applications
  • Building Docker applications with Dockerfile
  • Orchestrating multiple containers with Docker Compose

Understanding container

The key feature of container is isolation. In this section, we will elaborate how container achieves it and why it matters in the software development life cycle to help establish a proper understanding of this powerful tool.

Resource isolation

When an application launches, it consumes CPU time, occupies memory space, links to its dependent libraries, and may write to disk, transmit packets, and access other devices. Everything it uses up is a resource, and is shared by all the programs on the same host. The idea of container is to isolate resources and programs to separate boxes.

You may have heard such terms as para-virtualization, Virtual Machines (VMs), BSD jails, and Solaris containers, which can...

Container life cycle

Using containers is not as intuitive as the tools that we are used to work with. In this section, we will go through Docker usages from the most fundamental ideas to the extent that we are able to benefit from containers.

Docker basics

When docker run alpine ls is executed, what Docker did behind the scenes is:

  1. Find the image alpine locally. If not found, Docker will try to find and pull it from the public Docker registry to the local image storage.
  2. Extract the image and create a container accordingly.
  3. Execute the entry point defined in the image with commands, which are the arguments after the image name. In this example, it is ls. The entry point by default is /bin/sh -c on the Linux-based Docker.
  4. When...

Working with Dockerfile

When assembling an image, whether by a Docker commit or export, optimizing the outcome in a managed way is a challenge, let alone integrating with a CI/CD pipeline. On the other hand, Dockerfile represents the building task in the form of as-a-code, which significantly reduces the complexities of building a task for us. In this section, we will describe how to map Docker commands into a Dockerfile and go a step further to optimizing it.

Writing your first Dockerfile

A Dockerfile consists of a series of text instructions to guide the Docker daemon to form a Docker image. Generally, a Dockerfile is and must be starting with the directive FROM, and follows zero or more instructions. For example, we may...

Multi-containers orchestration

As we pack more and more applications into isolated boxes, we'll soon realize that we need a tool that is able to help us tackle many containers simultaneously. In this section, we'll move a step up from spinning up simply one single container to orchestrating containers in a band.

Piling up containers

Modern systems are usually built as a stack made up of multiple components that are distributed over networks, such as application servers, caches, databases, message queues, and so on. Meanwhile, a component itself is also a self-contained system with many sub-components. What's more, the trend of microservices introduces additional degrees of complexity into such entangled relationships...

Summary

Starting from the very primitive elements of Linux container to Docker tool stacks, we went through every aspect of containerizing an application, including packing and running a Docker container, writing a Dockerfile for code-based immutable deployment, and manipulating multi-containers with Docker Compose. However, our abilities gained in this chapter only allow us to run and connect containers within the same host, which limits the possibility to build larger applications. As such, in the next chapter, we'll meet Kubernetes, unleashing the power of Container beyond the limits of scale.

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Key benefits

  • Learning DevOps, container, and Kubernetes within one book.
  • Leverage Kubernetes as a platform to deploy, scale, and run containers efficiently.
  • A practical guide towards container management and orchestration

Description

Containerization is said to be the best way to implement DevOps. Google developed Kubernetes, which orchestrates containers efficiently and is considered the frontrunner in container orchestration. Kubernetes is an orchestrator that creates and manages your containers on clusters of servers. This book will guide you from simply deploying a container to administrate a Kubernetes cluster, and then you will learn how to do monitoring, logging, and continuous deployment in DevOps. The initial stages of the book will introduce the fundamental DevOps and the concept of containers. It will move on to how to containerize applications and deploy them into. The book will then introduce networks in Kubernetes. We then move on to advanced DevOps skills such as monitoring, logging, and continuous deployment in Kubernetes. It will proceed to introduce permission control for Kubernetes resources via attribute-based access control and role-based access control. The final stage of the book will cover deploying and managing your container clusters on the popular public cloud Amazon Web Services and Google Cloud Platform. At the end of the book, other orchestration frameworks, such as Docker Swarm mode, Amazon ECS, and Apache Mesos will be discussed.

Who is this book for?

This book is targeted for anyone, who wants to learn containerization and clustering in a practical way using Kubernetes. No prerequisite skills required, however, essential DevOps skill and public/private Cloud knowledge will accelerate the reading speed. If you’re advanced readers, you can also get a deeper understanding of all the tools and technique described in the book.

What you will learn

  • Learn fundamental and advanced DevOps skills and tools
  • Get a comprehensive understanding for container
  • Learn how to move your application to container world
  • Learn how to manipulate your application by Kubernetes
  • Learn how to work with Kubernetes in popular public cloud
  • Improve time to market with Kubernetes and Continuous Delivery
  • Learn how to monitor, log, and troubleshoot your application with Kubernetes

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 16, 2017
Length: 382 pages
Edition : 1st
Language : English
ISBN-13 : 9781788396646
Vendor :
Google
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Tools :

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Product Details

Publication date : Oct 16, 2017
Length: 382 pages
Edition : 1st
Language : English
ISBN-13 : 9781788396646
Vendor :
Google
Concepts :
Tools :

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Table of Contents

11 Chapters
Introduction to DevOps Chevron down icon Chevron up icon
DevOps with Container Chevron down icon Chevron up icon
Getting Started with Kubernetes Chevron down icon Chevron up icon
Working with Storage and Resources Chevron down icon Chevron up icon
Network and Security Chevron down icon Chevron up icon
Monitoring and Logging Chevron down icon Chevron up icon
Continuous Delivery Chevron down icon Chevron up icon
Cluster Administration Chevron down icon Chevron up icon
Kubernetes on AWS Chevron down icon Chevron up icon
Kubernetes on GCP Chevron down icon Chevron up icon
What's Next Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5
(4 Ratings)
5 star 75%
4 star 0%
3 star 25%
2 star 0%
1 star 0%
Pankaj Negi Nov 01, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Nice book. Very well organised content.Would be good if they include azure implementation in next edition
Amazon Verified review Amazon
avinash Nov 02, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Easy to understand
Amazon Verified review Amazon
Northwood128 Apr 13, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Excelent book so far. I've read half and they really seem to know what they are talking about.
Amazon Verified review Amazon
Rachel Pierson Aug 06, 2018
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
I'm fairly new to Kubernetes and Docker. But not to Dev Ops. Even the parts of this book that cover topics I already understand intimately are difficult to grok, because of the poor job that's been done on translation. e.g.,"Continuous Delivery (CD) is a practice that could be achieved; it is a combination of CI tool, configuration management tool, and orchestration tool."It's a shame, because the poor quality of the translation detracts considerably from what appears to be a good book in the original language.
Amazon Verified review Amazon
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