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

Supporting web applications with Docker


The following diagram shows the typical architecture of a web application. We have the load balancer tier that receives traffic from the Internet and then the traffic, which is typically composed of user requests, is relayed to a farm of web application servers in a load-balanced fashion.

Depending on the nature of the request, some states will be grabbed by the web application from the persistent storage tier, similar to Database Servers:

As we can see in the preceding diagram, each tier is run inside a Docker container on top of Docker Hosts. With this layout for each component, we can take advantage of Docker's uniform way of deploying load balancers, applications, and databases, as we did in Chapter 2, Configuring Docker with Chef, and Chapter 7, Load Balancing. However, in addition to the Docker daemons in each Docker host, we need supporting infrastructure to manage and observe the whole stack of our web architecture in a scalable fashion. On the...