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

Importance of configuration management


The Docker Engine has several parameters to tune, such as cgroups, memory, CPU, filesystems, networking, and so on. Identifying which Docker containers run on which Docker hosts is another aspect of configuration. Getting the combination of parameters to optimize our application will take time.

Replicating all the preceding configuration items to another Docker host is difficult to perform manually. We might not remember all the steps required to create a host, and it is an error-prone and slow process. Creating documentation to capture this process doesn't help either because such artifacts tend to get stale over time.

If we cannot provision new Docker hosts in a timely and reliable manner, we will have no space to scale out our Docker application. Therefore, it's important to prepare and configure our Docker hosts in a consistent and fast manner. Otherwise, Docker's ability to create container packages for our application will become useless quite quickly...