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

Reducing deployment time

As time goes by while we build our Docker container, its size will get bigger and bigger. Updating running containers in our existing Docker hosts is not a problem. Docker takes advantage of the Docker image layers that we build over time as our application grows; however, consider the case where we want to scale out our application. This requires deploying more Docker containers to additional Docker hosts. In this case, each new Docker host will have to download all of the large image layers that we built over time. This section will show you how a large Docker application affects deployment time on new Docker hosts. First, let's build this problematic Docker application by carrying out the following steps:

  1. Write the following Dockerfile to create our large Docker image:
FROM debian:stretch

RUN dd if=/dev/urandom of=/largefile bs=1024 count=524288
  1. Next, build the Dockerfile as hubuser/largeapp using the following command:
dockerhost$ docker build -t hubuser/largeapp...