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

Summary


You learned a lot about how Docker works throughout this book. In addition to the basics of Docker, we looked back at some fundamental concepts of web operations and how they help us to realize the full potential of Docker. You gained knowledge of key Docker and operating systems concepts to get a deeper understanding of what is happening behind the scenes. You now have an idea of how our application goes from our code down to the actual call in the operating system of our Docker host. You learned a lot about the tools to deploy and troubleshoot our Docker containers in production in a scalable and manageable fashion.

However, this should not stop you from continuing to develop and practice using Docker to run web applications in production. We should not be afraid to make mistakes and gain further experience on the best ways to run Docker in production. As the Docker community evolves, so do these practices through the collective experience of the community. So, we should continue...