Book Image

Docker High Performance - Second Edition

By : Allan Espinosa, Russ McKendrick
Book Image

Docker High Performance - Second Edition

By: Allan Espinosa, Russ McKendrick

Overview of this book

Docker is an enterprise-grade container platform that allows you to build and deploy your apps. Its portable format lets you run your code right from your desktop workstations to popular cloud computing providers. This comprehensive guide will improve your Docker work?ows and ensure your application's production environment runs smoothly. This book starts with a refresher on setting up and running Docker and details the basic setup for creating a Docker Swarm cluster. You will then learn how to automate this cluster by using the Chef server and cookbooks. After that, you will run the Docker monitoring system with Prometheus and Grafana, and deploy the ELK stack. You will also learn best practices for optimizing Docker images. After deploying containers with the help of Jenkins, you will then move on to a tutorial on using Apache JMeter to analyze your application's performance. You will learn how to use Docker Swarm and NGINX to load-balance your application, and how common debugging tools in Linux can be used to troubleshoot Docker containers. By the end of this book, you will be able to integrate all the optimizations that you have learned and put everything into practice in your applications.
Table of Contents (16 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Chapter 4. Optimizing Docker Images

Docker images provide a standard package format that lets developers and system administrators work together to simplify the management of an application's code. Docker's container format allows us to rapidly iterate the versions of our application and share them with the rest of our organization. Our development, testing, and deployment time are shorter than they would otherwise be because of the lightweight feature and speed of Docker containers. The portability of Docker containers allows us to scale our applications from physical servers to virtual machines in the cloud.

However, we will start noticing that the same reasons for which we used Docker in the first place are losing their beneficial effects. Development time is increasing because we always have to download the newest version of our application's Docker image runtime library. Deployment takes a lot more time because Docker Hub is slow; at worst, Docker Hub may be down, and we won't be able...