Modeling Aggregates in DDD

Here are a few notes I wanted to point out when you are trying to model aggregates in domain driven design (DDD). Many times I can’t find the right words or I simply forget what the technical definitions are when you model your domain model or any parts of a domain model such as aggregates. I always go back to the fantastic book “Implementing Domain Driven Design” by Vaughn Vernon. He is a master in showing and explaining it in such a way that I can not do a better job. As I’m currently doing some modeling work over the weekend, here is a summary from how Vaughn is explaining it:

When trying to discover the Aggregates in a Bounded Context, we must understand the model’s true invariants. Only with that knowledge can we determine which objects should be clustered into a given Aggregate.

He talks of how you should design your aggregates. What does an aggregate consist of. So, he goes on with another perfect explanation:

“An invariant is a business rule that must always be consistent.”

Followed by another super explanation:

“Aggregate is synonymous with transactional consistency boundary.”

In the past, I made the mistake of clustering aggregates via composition: “This object A contains object B” which is wrong. Once you understand the bounded context and the aggregate’s true invariants (the business rules), you got it. You hit the jackpot. The light will come on.

Anyways, I wanted to publish this for some time now but never bothered since I always go through Vaughn’s book. But, I thought others might find this useful information especially if you are doing domain driven design and microservices.

Updated C# Reference Implementation

I have updated my C# reference implementation and included FluentValidation on some of the DTO objects. I also updated the ErrorMap to include validations on the server side as well as on the WPF client side. This version also includes a sample SQL Server Persistence Provider. As always, you can get the latest code on my GitHub repo.

Presenting “Object Persistence in C#” in Sacramento, CA, March 25th, 2015

Wednesday, March 25th, 20015, I will be presenting “Object Persistence in C#” at the Sacramento .NET User Group (SAC.NET) at the Microsoft Office at 1415 L Street, Suite 200, Sacramento, CA 95814 starting at 6:00 pm. Maria Martinez, Co-Organizer, Sacramento .NET User Group, was kind enough in helping to get this organized. Thank you Maria. I will see you there.

Presenting “Object Persistence in C#” at Bay.NET User Group on April 9th, 2015

I will be presenting “Object Persistence in C#” at the Bay.NET user group at the Berkeley City College located at Room 451A, 2050 Center Street, Berkeley, CA from 6:15 pm – 9:00 pm.

Deborah Kurata, Co-Organizer, East Bay Chapter Leader, was kind enough in helping to get this organized. Thank you Deborah.

I will see you there.

Object Persistence, Part 5 – Video – Redis Provider

In part 4 of this series, I went through the entire Visual Studio solution and also showed the db4o object database provider.

In part 5, I’ll show you how to store your Plan Old C# Objects (POCO) into Redis using the Redis Cloud at service. We will build the Redis Provider and take it out for a spin storing our new domain objects.

You can download the source code at GitHub.

Object Persistence, Part 4 – Video

In part 3 of my Object Persistence series, I introduced the complete Visual Studio 2012 source code.

This is part 4 of my Object Persistence series. I created a detailed video that goes thru all the parts in the solution. Enjoy! Make sure you continue with part 5 where we build a Redis persistence provider.

Watch the video walkthrough on my YouTube channel:

Object Persistence, Part 3 – Source Code

In part 2 of my Object Persistence series, I’ve touched on the issues that still exist today.

In part 3, I’ve published a complete sample Visual Studio 2012 solution on GitHub that demonstrates object persistence using a db4o persistence provider. Over time, I will add additional sample persistence providers for Redis, SQL Server, and possibly a NoSQL provider such as SimpleDB (one of Amazon’s great NoSQL databases).

This sample solution includes complete server side and client side layers. The Server side runs as a REST based Web API 2 service. The server portion also includes a simple domain model and, of course, the persistence provider and how it is implemented. I will update the solution over time, expand the domain model, UI, etc. as required.

The client side is a WPF application that consumes the REST service. The payload to and from the REST service is via JSON objects.


I hope you like it. You can use this sample solution as a template to start simple or very complex software solutions. This solution can easily be taken and split across different nodes in a cluster of Amazon AWS EC2 instances, for example. However, for a cloud based solution, your persistence would have to support certain features. I will go into details when I add the Redis persistence provider.

Instead of writing a very long blog post, I will post a screen cast video and go through the solution. I think this will make more sense and you have a chance to go through the source code with me. So, go ahead and get the latest version from GitHub and start playing with it.