Espinosa Allan. - Docker High Performance
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.Docker is a portable container format that allows you to run code anywhere from your desktop to the cloud. The workflow around Docker makes development, testing, and deployment much easier and much faster. However, its essential that you know the best practices most techniques for optimization so Docker can help you deploy your application most effectively.This comprehensive guide will improve your Docker workflows and will ensure your applications production environment runs smoothly. It starts with a short refresher on working with Docker, then you will learn how to take this basic knowledge to the next level by optimizing your Docker infrastructure and applications at scale. At the end of the book, we will put the concepts and everything you have learned about Dockers features into practice by rolling out supplementary monitoring and troubleshooting instrumentation to your infrastructure. All of these things will ensure your application succeeds using Docker.What you will learn:
Tune your Dockerfiles and optimize the performance and size of your Docker containers;
Configure and tune your Docker hosts at scale with Chef;
Deploy containers without downtime using load balancers;
Listen to your Docker container and host logs with an ELK stack;
Monitor the performance of your Docker containers with collectd;
Benchmark the performance of your web application containers with Apache JMeter;
Troubleshoot and diagnose containers using standard Linux diagnostic tools;
Prepare for production with the most effective DevOps practices.Implement a scalable Docker infrastructure that has been optimized for greater efficiency.
Tackle the challenges of large-scale container deployment with this fast-paced guide.
Extend your capabilities as a developer to take full advantage of Docker and containerization.Who This Book Is For:
If you are a software developer with a good understanding of managing Docker services and the Linux file system and are looking for ways to optimize working with Docker containers, then this is the book for you. iPAD Amazon Kindle, PC , Cool Reader (EPUB), Calibre (EPUB, MOBI, AZW3), Adobe Digital Editions (EPUB), FBReader (EPUB, MOBI, AZW3).
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Copyright 2016 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, and its dealers and distributors will be held liable for any damages caused or alleged to be 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.
First published: January 2016
Production reference: 1220116
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78588-680-5
www.packtpub.com
Author
Allan Espinosa
Reviewer
Shashikant Bangera
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Cover Work
Nilesh Mohite
Allan Espinosa is a DevOps practitioner living in Tokyo. He is an active open source contributor to various distributed systems tools, such as Docker and Chef. Allan maintains several Docker images for popular open source software that were popular even before their official release from the upstream open source groups.
In his career, Allan has worked on large distributed systems containing hundreds to thousands of servers in production. He has built scalable applications on various platforms ranging from large supercomputing centers in the U.S. to production enterprise systems in Japan.
Allan can be contacted through his Twitter handle @AllanEspinosa. His personal website at http://aespinosa.github.io contains several blog posts on Docker and distributed systems in general.
I would like to thank my wife, Kana, for the continuous support that allowed me to spend significant time writing this book.
Shashikant Bangera is a DevOps architect with 16 years of experience in the IT sector. He has had a vast exposure to DevOps tools with core expertise in open source DevOps tools. Shashikant has worked on a large number of multimillion-pound projects. He helped in making the transition from employing traditional development practices to adopting agile tooling and processes that increase the release frequency and quality of software. Moreover, Shashikant has designed an automated on-demand environment with open source tools. He has hands-on experience with a variety of DevOps tools across the domain.
Shashikant has also reviewed the book Learning Docker by Packt Publishing.
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Docker is a great tool to build and deploy our applications. Its portable container format allows us to run code anywhere, from our developer workstations to popular cloud computing providers. The workflow around Docker makes development, testing, and deployment easier and faster. However, this is very important to Docker's internals and continuously improving best practices to realize its full potential.
Engineers that have a basic understanding of Docker can read the book sequentially, chapter by chapter. Tech leads who have an advanced understanding of Docker or have deployed applications in production before can go ahead and read , Onto Production , first to understand how Docker can fit in your existing applications. The following is a list of topics covered in this book:
, Preparing Docker Hosts , gives a quick refresher on setting up and running Docker. It documents the setup that you will be using throughout the book.
, Optimizing Docker Images , shows why it is important to tune your Docker images. A few tuning tips will be shown to improve the deployability and performance of our Docker containers.
, Automating Docker Deployments with Chef , shows how to automate the provisioning and setup of Docker hosts. It will discuss the importance of investing in automation and how it facilitates a scalable way of deploying your Docker containers.
, Monitoring Docker Hosts and Containers , gives a walk-through of setting up a monitoring system with Graphite and logging systems with an Elasticsearch-Logstash-Kibana (ELK) stack..
, Monitoring Docker Hosts and Containers , to analyze some Docker application benchmark results, such as response time and throughput.
, Load Balancing , shows you how to configure and deploy an Nginx-based load balancer Docker container. The chapter also gives a tutorial on how to use the load balancer you set up to scale out the performance and deployability of our Docker applications.
, Troubleshooting Containers , illustrates how common debugging tools in a typical Linux system can be used to troubleshoot your Docker containers. They describe how each tool works and how it can read the diagnostics coming from your running Docker containers.
, Onto Production , synthesizes all the performance optimizations you did in the previous chapter and relates what it means to operate any web application in production with Docker.
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