Book Image

Deployment with Docker

By : Srdjan Grubor
Book Image

Deployment with Docker

By: Srdjan Grubor

Overview of this book

Deploying Docker into production is considered to be one of the major pain points in developing large-scale infrastructures, and the documentation available online leaves a lot to be desired. With this book, you will learn everything you wanted to know to effectively scale your deployments globally and build a resilient, scalable, and containerized cloud platform for your own use. The book starts by introducing you to the containerization ecosystem with some concrete and easy-to-digest examples; after that, you will delve into examples of launching multiple instances of the same container. From there, you will cover orchestration, multi-node setups, volumes, and almost every relevant component of this new approach to deploying services. Using intertwined approaches, the book will cover battle-tested tooling, or issues likely to be encountered in real-world scenarios, in detail. You will also learn about the other supporting components required for a true PaaS deployment and discover common options to tie the whole infrastructure together. At the end of the book, you learn to build a small, but functional, PaaS (to appreciate the power of the containerized service approach) and continue to explore real-world approaches to implementing even larger global-scale services.
Table of Contents (18 chapters)
Title Page
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Summary


In this chapter, you have learned a massive amount of new stuff revolving around Docker's data handling including Dockerimage internals and running your own Docker Registry. We have also covered transient, node-local, and relocatable data storage and the associated volume management that you will need to effectively deploy your services in the cloud. Later we have spent some time covering the volume orchestration ecosystem to help you navigate the changing landscape of Docker volume drivers as things have been changing quickly in this space. As we got to the end, coverage of various pitfalls (like UID/GID issues) was included so that you can avoid them in your own deployments.

As we continue into the next chapter, we will cover cluster hardening and how to pass data between a large volume of services in an orderly fashion.