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Implementing Domain Driven Design (DDD) with Qlerify

Qlerify DDD Template

DDD is a useful tool for understanding the business domain and designing a software application. Qlerify helps users to quickly identify domain objects through a business user friendly interface and powerful AI features.

Image showing data models in the app

It’s easy to create your own DDD model from a template workflow in Qlerify. Qlerify allows you to build, share, and iterate on the template. Get started by signing up for free and create a DEMO project. Then select the DDD template workflow in the DEMO project. See below for more detailed instructions.

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What is Domain Driven Design?

Domain-Driven Design (DDD) is a software design approach that focuses on modeling software based on the real-world business domain it is meant to serve. 


DDD is particularly valuable in complex domains where the business logic and rules are intricate. It's less beneficial for simple, CRUD (Create, Read, Update, Delete)-type applications where the complexity doesn't warrant the overhead of DDD. As a developer, integrating DDD into your workflow means embracing a mindset of continuous learning and collaboration with domain experts, focusing on the core complexities and business drivers of the application, and adhering to the principles and patterns that DDD provides.


The Primary Goal of DDD is to align the design of software with the underlying business domain it serves. This alignment is key to creating software that is both effective and relevant to business needs.

Why Use DDD?

  • Complexity in Large Systems: DDD tackles the challenges posed by complex systems, where traditional software development methods might fail due to the complexity of business rules and processes.

  • Business-IT Misalignment: It addresses the disconnect that often occurs between the business's needs and the technical implementation in software development.

Major Benefits of DDD Include

  • Improved Communication: It fosters a common language between developers and business stakeholders, ensuring a clearer understanding between business stakeholders and development teams and that software development is closely tied to business requirements.

  • Better Software Fit: Software that mirrors business processes and language, resulting in solutions that better fit business needs.

  • Clear Architecture: A well-defined structure that helps in organizing code around the business domain.

  • Maintainability: The focus on the domain makes it easier to modify and maintain the software as business requirements evolve.

  • Scalability: Facilitates the design of scalable systems through bounded contexts and aggregates.

Basic Concepts of DDD

  • Ubiquitous Language: A common language used by developers and business stakeholders to ensure clear communication. Each Bounded Context has its own ubiquitous language that is specific and applicable within that context. This language includes terms, concepts, and phrases used by team members and stakeholders.

  • Bounded Context: A Bounded Context defines a logical boundary where a specific domain model is defined and applicable. It encapsulates everything inside it - from the code and database schema to the business rules and language (ubiquitous language) used. Example: Consider an e-commerce application with separate parts like "Order Processing", "Inventory Management", and "User Management". Each of these can be a Bounded Context with its own models, rules, and language.

  • Domain Objects: Objects that are not just representations of database tables or data structures; they are meaningful constructs that encapsulate the business logic, rules, and behavior of the business domain you are working with. The different types of domain objects include Entities, Value Objects, Aggregates, Domain Events and Services

  • Entities: Objects that are identified by their identity, rather than their attributes. For example, two customers with the same name and date of birth are still distinct entities if they have different customer IDs.

  • Value Objects: Objects that are defined solely by their attributes and have no conceptual identity and they do not have a unique identifier. 

  • Aggregates: A cluster of domain objects (entities and value objects) treated as a single unit for the purpose of data exchanges. Each aggregate has a root entity, known as the aggregate root, which controls access to the other members of the aggregate.

  • Repositories: Mechanisms for encapsulating storage, retrieval, and search behavior, acting like a collection of domain objects.

  • Domain Events: Significant business events that trigger transactions or other domain actions.

  • Services: Business logic that don’t naturally fit within the concept of an Entity or Value Object.

Implementing DDD with Qlerify

It’s easy to create your own DDD model with Qlerify from a template workflow. Qlerify allows you to build, share, and iterate on the template. Get started by signing up for free and then take the following steps to make a DDD model of your own.


1. Initiate the Project with Domain Understanding

Create a DEMO project and select the DDD template workflow in the DEMO project. You can create a clone of the template if you want to keep the original DDD template workflow.

  • You can apply a powerful technique called Event Storming to understand the domain and identify the key domain events. This is how it works: Bring together domain experts, business analysts, and development team members and conduct workshops and discussions to deeply understand the business domain, processes, and terminology. Map out the key domain events in the workshops.

  • Create a Ubiquitous Language - Develop a common vocabulary that will be used consistently by both technical and non-technical team members. Ensure this language is documented and accessible for reference. 


2. Identify and Define Bounded Contexts

Identify distinct areas of the business domain that can be treated as separate bounded contexts. Clearly outline the responsibilities and limits of each bounded context. You can do this in Qlerify by selecting different colors for domain events (one color representing a bounded context).


3. Model the Domain

  • Identify Entities and Value Objects by using the data modeling feature of Qlerify. Click on the tab “Data Models” under the diagram to access the data models view. In DDD, you usually determine which objects in your domain are entities (having a unique identity) and which are value objects (defined by their attributes). Qlerify currently supports the BEAM methodology (Business Event Analysis and Modeling) and does not distinguish between entities and value objects. Read the following blog post for more information:

  • Design Aggregates: Qlerify supports visualization of aggregates according to the Software Design level in Event Storming. If you have defined actions (commands) and systems/aggregates for each domain event you can visualize this by clicking on the tab “Aggregates” under the diagram to access the aggregate view. The visualization includes actors, actions (commands), aggregates and domain events as well as the data collection managed by each aggregate. In the future it will be possible to distinguish between the entities and value objects included in the aggregates and as well as root entities for each aggregate.

Please have a look at the help section for more information about how to use Qlerify or reach out for a free demo.

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