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Docker High Performance - Second Edition

By : Espinosa, Russ McKendrick

Buy this Book

Docker High Performance

By: Espinosa, Russ McKendrick

Buy this Book

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.

Preface

Who this book is for

What this book covers

To get the most out of this book

Get in touch

Free Chapter

Preparing Docker Hosts

Preparing a Docker host

Enabling remote access

Building a Docker Swarm cluster

Summary

Configuring Docker with Chef

Importance of configuration management

Using Chef

Configuring the Docker host

Initializing Docker Swarm

Alternative methods

Summary

Monitoring Docker

The importance of monitoring

Collecting metrics with Prometheus

Consolidating logs in an ELK stack

Other monitoring and logging solutions

Summary

Optimizing Docker Images

Reducing deployment time

Improving image build time

Reducing Docker image size

Guide to Optimization

Summary

Deploying Containers

Deploying and configuring Jenkins

Building and deploying a container

Summary

Benchmarking

Setting up Apache JMeter

Building a benchmark workload

Analyzing benchmark results

Tuning the benchmark

Other benchmarking tools

Summary

Load Balancing

Preparing application backends

Balancing load with NGINX

Scaling out our Docker applications

Other load balancers

Summary

Troubleshooting Containers

Inspecting containers with the docker exec command

Debugging from outside Docker

Other container debugging tools

Summary

Onto Production

Performing web operations

Supporting web applications with Docker

Deploying applications

Scaling applications

Setting up Apache JMeter

Apache JMeter is a popular application that is used for testing the performance of web servers. Besides load testing web servers, the open source project grew to support testing other network protocols, such as LDAP, FTP, and even raw TCP packets. It is highly configurable, and powerful enough to design complex workloads of different usage patterns. This feature can be used to simulate thousands of users suddenly visiting our web application, thereby inducing a spike in the load.

Another feature expected in any load-testing software is its data capture and analysis functions. JMeter has such a wide variety of data recording, plotting, and analysis features that we can explore the results of our benchmarks right away. Finally, it has a wide variety of plugins that may already have the load pattern, analysis, or network connection that we plan to use.

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