Book Image

Docker on Windows

By : Elton Stoneman
Book Image

Docker on Windows

By: Elton Stoneman

Overview of this book

Docker is a platform for running server applications in lightweight units called containers. You can run Docker on Windows Server 2016 and Windows 10, and run your existing apps in containers to get significant improvements in efficiency, security, and portability. This book teaches you all you need to know about Docker on Windows, from 101 to deploying highly-available workloads in production. This book takes you on a Docker journey, starting with the key concepts and simple examples of how to run .NET Framework and .NET Core apps in Windows Docker containers. Then it moves on to more complex examples—using Docker to modernize the architecture and development of traditional ASP.NET and SQL Server apps. The examples show you how to break up monoliths into distributed apps and deploy them to a clustered environment in the cloud, using the exact same artifacts you use to run them locally. To help you move confidently to production, it then explains Docker security, and the management and support options. The book finishes with guidance on getting started with Docker in your own projects, together with some real-world case studies for Docker implementations, from small-scale on-premises apps to very large-scale apps running on Azure.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Creating a swarm and managing nodes


Docker swarm mode uses a manager-worker architecture with high availability for managers and workers. Managers are administrator-facing, and you use the active manager to manage the cluster and the resources running on the cluster. Workers are user-facing, and they run the containers for your application services.

Swarm managers can also run containers for your applications, which is unusual in manager-worker architectures. The overhead of managing a small swarm is relatively low, so if you have 10 nodes and three are managers, the managers can also run a share of the application workload.

Swarms can be practically any size. You can run a single-node swarm on your laptop to test the functionality, and you can scale up to thousands of nodes. You start by initializing the swarm with the docker swarm init command:

> docker swarm init --listen-addr 192.168.2.232 --advertise-addr 192.168.2.232
Swarm initialized: current node (60biyvlde1wche3oldbviac1v) is now...