Book Image

Docker on Windows - Second Edition

By : Elton Stoneman
Book Image

Docker on Windows - Second Edition

By: Elton Stoneman

Overview of this book

Docker on Windows, Second Edition teaches you all you need to know about Docker on Windows, from the 101 to running highly-available workloads in production. You’ll be guided through a Docker journey, starting with the key concepts and simple examples of .NET Framework and .NET Core apps in Docker containers on Windows. Then you’ll learn how to use Docker to modernize the architecture and development of traditional ASP.NET and SQL Server apps. The examples show you how to break up legacy monolithic applications into distributed apps and deploy them to a clustered environment in the cloud, using the exact same artifacts you use to run them locally. You’ll see how to build a CI/CD pipeline which uses Docker to compile, package, test and deploy your applications. To help you move confidently to production, you’ll learn about Docker security, and the management and support options. The book finishes with guidance on getting started with Docker in your own projects. You’ll walk through 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 (18 chapters)
Free Chapter
1
Section 1: Understanding Docker and Windows Containers
6
Section 2: Designing and Building Containerized Solutions
10
Section 3: Preparing for Docker in Production
14
Section 4: Getting Started on Your Container Journey

Adding new features in containers

Breaking down a monolith into small components and modernizing the architecture has a beneficial side effect. The approach I've taken has introduced event publishing 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 for servicing 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 to this would be to add a secondary data store, a reporting database, using a technology that does provide self-service analytics. Without Docker, that would be a major project, needing a redesign or additional infrastructure or both. With Docker...