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Heck - Kubernetes for developers use Kubernetes to develop, test, and deploy your applications with the help of containers

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Heck Kubernetes for developers use Kubernetes to develop, test, and deploy your applications with the help of containers
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Kubernetes for developers use Kubernetes to develop, test, and deploy your applications with the help of containers: summary, description and annotation

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A developers field-guide to designing scalable services using Kubernetes About This Book Develop and run your software using containers within a Kubernetes environment Get hands-on experience of using Kubernetes with DevOps concepts such as continuous integration, benchmark testing, monitoring, and so on Pragmatic example-based approach showing how to use Kubernetes in the development process Who This Book Is For If you are a full-stack or back-end software developers interested, curious, or being asked to test as well as run the code youre creating, you can leverage Kubernetes to make that process simpler and consistent regardless of where you deploy. If youre looking for developer focused examples in NodeJS and Python for how to build, test, deploy, and run your code with Kubernetes, this is perfect for you. What You Will Learn Build your software into containers Deploy and debug software running in containers within Kubernetes Declare and add configuration through Kubernetes Define how your application fits together, using internal and external services Add feedback to your code to help Kubernetes manage your services Monitor and measure your services through integration testing and in production deployments In Detail Kubernetes is documented and typically approached from the perspective of someone running software that has already been built. Kubernetes may also be used to enhance the development process, enabling more consistent testing and analysis of code to help developers verify not only its correctness, but also its efficiency. This book introduces key Kubernetes concepts, coupled with examples of how to deploy and use them with a bit of Node.js and Python example code, so that you can quickly replicate and use that knowledge. You will begin by setting up Kubernetes to help you develop and package your code. We walk you through the setup and installation process before working with Kubernetes in the development environment. We then delve into concepts such as automating your build process, autonomic computing, debugging, and integration testing. This book covers all the concepts required for a developer to work with Kubernetes. By the end of this book, you will be in a position to use Kubernetes in development ecosystems. Style and approach This book will cover examples using NodeJS and Python that walk you through building containers, defining your deployments, deploying, debugging, testing, and generally interacting with your co...

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Kubernetes for Developers Use Kubernetes to develop test and deploy your - photo 1
Kubernetes for Developers
Use Kubernetes to develop, test, and deploy your applications with the help of containers
Joseph Heck

BIRMINGHAM - MUMBAI Kubernetes for Developers Copyright 2018 Packt - photo 2

BIRMINGHAM - MUMBAI
Kubernetes for Developers

Copyright 2018 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Commissioning Editor: Gebin George
Acquisition Editor: Rahul Nair
Content Development Editor: Sharon Raj
Technical Editor: Prashant Chaudhari
Copy Editor: Safis Editing
Project Coordinator: Virginia Dias
Proofreader: Safis Editing
Indexer: Priyanka Dhadke
Graphics: Tom Scaria
Production Coordinator: Deepika Naik

First edition: April 2018

Production reference: 1050418

Published by Packt Publishing Ltd.
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B3 2PB, UK.

ISBN 978-1-78883-475-9

www.packtpub.com

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Contributors
About the author

Joseph Heck has broad development and management experience across start-ups and large companies. He has architected, developed, and deployed a wide variety of solutions, ranging from mobile and desktop applications to cloud-based distributed systems.

He builds and directs teams and mentors individuals to improve the way they build, validate, deploy, and run software. He also works extensively with and in open source, collaborating across many projects, including Kubernetes.

About the reviewers

Paul Adamson has worked as an Ops engineer, a developer, a DevOps engineer, and all variations and mixes of these. When not reviewing this book, he keeps busy helping companies embrace the AWS infrastructure. His language of choice is PHP for all the good reasons and even some of the bad ones, but mainly habit. Apart from reviewing this book, he has been working for Healthy Performance Ltd., helping to apply cutting-edge technology to a cutting-edge approach to wellbeing.

Jakub Pavlik is a co-founder, former CTO, and chief architect of tcp cloud who has worked several years on the IaaS cloud platform based on OpenStack-Salt and OpenContrail projects, which were deployed and operated for global large service providers. Currently as the director of product engineering, he collaborates on a new Mirantis Cloud Platform for NFV/SDN, IoT, and big data use cases based on Kubernetes, containerized OpenStack, and OpenContrail. He is a member of the OpenContrail Advisory Board and is also an enthusiast of Linux OS, ice hockey, and films. He loves his wife, Hanulka.

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Preface

It's getting more common to find yourself responsible for running the code you've written as well as developing the features. While many companies still have an operations group (generally retitled to SRE or DevOps) that help with expert knowledge, developers (like you) are often being asked to expand your knowledge and responsibility scope.

There's been a shift to treating infrastructure-like code for some time. Several years ago, I might have described the boundary as Puppet is used by operations folks and Chef is used by developers. All of that changed with the advent and growth first of clouds in general, and more recently with the growth of Docker. Containers provide a level of control and isolation, as well as development flexibility, that is very appealing. When using containers, you quickly move to where you want to use more than one container a time, for isolation of responsibility as well as horizontal scaling.

Kubernetes is a project open sourced from Google, now hosted by the cloud-native computing foundation. It exposes many of the lessons from Google's experience of running software in containers and makes it available to you. It encompasses not only running containers, but grouping them together into services, scaling them horizontally, as well as providing means to control how these containers interact together and how they get exposed to the outside world.

Kubernetes provides a declarative structure backed with an API and command-line tools. Kubernetes can be used on your laptop, or leveraged from one of the many cloud providers. The benefit of using Kubernetes is being able to use the same set of tools with the same expectations, regardless of running it locally, in a small lab at your company, or in any number of larger cloud providers. It's not exactly the write once, run anywhere promise of Java from days gone by; more we'll give you a consistent set of tools, regardless of running on your laptop, your company's datacenter, or a cloud provider such as AWS, Azure, or Google.

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