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

Chapter 3. Monitoring Docker

We now know some ways to optimize our Docker deployments. We also know how to scale to improve performance. But how do we know that our tuning assumptions were correct? Being able to monitor our Docker infrastructure and application is important to figure out why and when we need to optimize. Measuring how our system is performing allows us to identify its limits in order to scale and tune accordingly.

In addition to monitoring low-level information about Docker, it is also important to measure the business-related performance of our application. By tracing the value stream of our application, we can correlate business-related metrics to system-level ones. With this, our Docker development and operations teams can show their business colleagues how Docker reduces their organization's costs and increases business value.

In this chapter, we will cover the following topics concerning our ability to monitor our Docker infrastructure and applications at scale:

  • The importance...