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

Adding new features in containers


Decoupling components from a monolith has a beneficial side effect. The approach I've taken has introduced a style of event-driven architecture for one feature. I can build on that to add new features, again taking a container-first approach.

In NerdDinner there is a single data store, a transactional database stored in SQL Server. That's fine to service the website, but it's limited when it comes to user-facing features, such as reporting. There's no user-friendly way to search the data, build dashboards, or enable self-service reporting.

An ideal solution for this would be to add a secondary data store, a reporting database, using a technology which does provide self-service analytics. Without Docker that would be a major project, needing a redesign or additional infrastructure or both. With Docker, I can leave the existing application alone and add new features running in containers on the existing servers.

Elasticsearch is another enterprise-grade open...