Book Image

Mastering Docker Enterprise

By : Mark Panthofer
Book Image

Mastering Docker Enterprise

By: Mark Panthofer

Overview of this book

While known mostly as the open source engine behind tens of millions of server nodes, Docker also offers commercially supported enterprise tooling known as the Docker Enterprise. This platform leverages the deep roots from Docker Engine - Community (formerly Docker CE) and Kubernetes, but adds support and tooling to efficiently operate a secure container platform at scale. With hundreds of enterprises on board, best practices and adoption patterns are emerging rapidly. These learning points can be used to inform adopters and help manage the enterprise transformation associated with enterprise container adoption. This book starts by explaining the case for Docker Enterprise, as well as its structure and reference architecture. From there, we progress through the PoC,pilot and production stages as a working model for adoption, evolving the platform’s design and configuration for each stage and using detailed application examples along the way to clarify and demonstrate important concepts.The book concludes with Docker’s impact on other emerging software technologies, such as Blockchain and Serverless computing. By the end of this book, you’ll have a better understanding of what it takes to get your enterprise up and running with Docker Enterprise and beyond.
Table of Contents (17 chapters)
Free Chapter
1
Section 1: Getting Started with Docker Enterprise
5
Section 2: Piloting Docker Enterprise
10
Section 3: In Production with Docker Enterprise

Docker Enterprise production cluster

So far in our Docker Enterprise adoption journey, we have been working with our non-production Docker Enterprise cluster. Now it's time to build out a Docker Enterprise production cluster, factoring in everything we have learned from our pilot experience along with current corporate security standards/polices and the topics covered in this chapter.

Having internally released our pilot application, we have gotten familiar with the many capabilities and challenges of container-based application deployment and operations. Our thoughts tend to shift toward topics such as container-based application data management (backing up or migrating the app data), application updates, Docker software updates, and host-node OS updates. Now we are going to add a production cluster into this mix. How will this all work?

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