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

Analyzing benchmark results


In this section, we will analyze the benchmark results and identify how the 120,000 requests affected our application. In creating web application benchmarks, there are typically two things we are usually interested in:

  • How many requests can our application handle at a time?
  • For how long is each request being processed by our application?

These two low-level web-performance metrics can easily translate to the business implications of our application. For example, how many customers are using our application? Another one is, how are they perceiving the responsiveness of our application from a user-experience perspective? We can correlate secondary metrics in our application such as CPU, memory, and network to determine our system capacity.

Viewing the results of JMeter runs

Several listener elements of JMeter have features that render graphs. Enabling this when running the benchmark is useful when developing the test plan. But the time taken by the UI to render the...