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


We now know why it is important to monitor our Docker deployments in a scalable and accessible manner. We deployed Prometheus to monitor our Docker container's metrics. We rolled out an ELK stack to consolidate the logs coming from various Docker hosts and containers.

In addition to raw metrics and events, it is also important to know what it means for our application. Grafana and Kibana allow us to create custom dashboards and analysis to provide insight into our Docker applications. With these monitoring tools and skills in our arsenal, we should be able to operate and run our Docker deployments well in production.

In the next chapter, we will be optimizing our Docker images and improving our development workflow.