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, we covered a multitude of things like: what service discovery is and why we need it, container orchestration basics and state reconciliation principles, as well as some major players in the orchestration world. With that knowledge in hand, we went on to implement a single-node full cluster using Docker Swarm to show how something like this can be done and near the end we used Docker stack to manage groups of services together, hopefully showing you how this can all be turned from theory to practice.

In the next chapter, we will start exploring the intricate world of Docker volumes and data persistence, so stick with us.