Software development

Peeling Back the Layers: Exploring Onion Architecture Knoldus Blogs

Onion Architecture divides the complete projects into 4 different layers. So, let’s make a quick review of programming languages history, its evolution and check what we can learn from it. I’ve added some dates to the post just as a curiosity, they should be seen as rough estimates, the important is the evolution sequence and the problems they were trying to solve. Creating maintainable applications has always been the real long-term challenge of building applications.

The Controller handles web requests via action methods and returns the appropriate View. As a result, it solves the problem of separation of concerns while still allowing the Controller to perform database access logic. The domain model is at the center of Domain-Driven Design or development, which thoroughly understands a domain’s procedures and regulations. It creates software for complicated requirements by closely connecting the implementation to a changing model of fundamental business ideas. Our fare calculation depends on external services such as routing information and fare models.

Development

This approach is biased towards Object Oriented Programming . However it’s principles can still be applied onion architecture in a wider sense. The very centre of the Model, this layer can have dependencies only on itself.

  • This interface holds all methods signature which accesses by external layer for the User entity.
  • Figure 2 — Practical Onion ModelEstimating the fare is a core business use case.
  • Especially this layer should know close to nothing about infrastructure.
  • In addition, the onion architecture itself introduced certain problems.
  • The layer higher in the hierarchy (Layer N+ 1) only uses services of a layer N.
  • It is particularly useful for complex applications that require flexibility and scalability.

The code snippet, mentioned below is for the IRepository interface. This Application uses the Entity Framework Code First approach, so the project OA.Data contains entities that are required in the application’s database. The OA.Data project holds three entities, one is the BaseEntity class that has common properties that will be inherited by each entity. The code snippet, mentioned below is the BaseEntity class. It could be the web application, Web API, or Unit Test project. This layer has an implementation of the Dependency Inversion Principle so that the application builds a loosely coupled application.

In my experience, understanding these rules has helped me to create extendable, testable and comprehensive software systems. The core concepts are similar to Onion Architecture, but it has a slightly different terminology. Entity contains business-specific rules and logic, while the application operation specific logic sits in the use case. These use cases orchestrate operations on top of entities to direct them to execute their business rules to achieve the goals of the use case.

This means that in the Domain layer, we are not concerning ourselves with infrastructure details such as the database or external services. The layer is intended to create an abstraction layer between the Domain entities layer and the Business Logic layer of an application. It is a data access pattern that prompts a more loosely coupled approach to data access.

The three outer layers are those which are not directly related to our business logic but depend upon on it fulfil their own purpose. They can change often and thus are separate from our core application logic. The Onion Architecture relies heavily on the Dependency Inversion principle. So tools like Guice, Ninject etc. are very helpful for those kinds of architectures but not a necessity.

Taking Care of Database Migrations

The challenge was to create a cloud software solution for a digital signage hardware manufacturer. At SaM Solutions, we’ve developed a kind of platform that allows you to automate the development and deployment of systems that use Docker. Aliaksandr is a Senior .NET developer at SaM Solutions with 13 years of experience. Being a Microsoft certified engineer, he specializes in web development and has experience in creating desktop and mobile solutions.

onion software architecture

Service Layer – The service layer is used to hold the business logic of the application and also used to set communication between the presentation and repository layers. The N-Layer architecture was introduced to make sure that expert developers can work on their core expertise layers. For eg – a front-end developer can work on presentation layers and back-end developers can work on business layer and data access layers. The Onion Architecture was coined by Jeffrey Palermo in 2008.

The Flavours of The Onion or how to represent layers in code?

Repositories used in the domain and external services used in Application Services are implemented at the infrastructure layer. This approach is an alternative to the traditional layered architecture. To illustrate the layer architecture, we will analyze a Layer.Factory code sample that is available on github . The Layer.Factory sample is a very simple Domain Driven Design sample application which follows the layered architecture pattern.

onion software architecture

This library provides almost limitless opportunities for setting data validation rules. It is well compatible with CQRS due to pipeline behaviors. But it does not quite solve the validation problem, especially if you need to take information from a database or from another microservice. Therefore, we built a validation mechanism into the MediatR pipeline using Fluent Validation. CQRS is a development principle claiming that a method must be either a command that performs an action or a request that returns data.

Domain Driven Design

In this article, I will tell you about my experience of using onion architecture with a harmonized combination of DDD, ASP.NET Core Web API and CQRS for building microservices. You will see the the Domain Model/Core layer is referenced across multiple layers, and that’s fine, to a certain degree. We are also able to write Unit Tests for our business logic whilst not coupling our tests to implementation either.

It also gives the application the pleasant ability to be able to run without the need for real infrastructure nor delivery mechanisms as they can be swapped by mocks, which is great for testing. The outermost layer is the lowest level of the software and as we move in deeper, the level will be higher. In general, as we move in deeper, the layer is less prone to change. The key difference is that the Data Access, the presentation and the cross-cutting layer along with anything I/O related is at the top of the diagram and not at the bottom. Another key difference is that the layers above can use any layer beneath them, not just the layer immediately beneath. At least this approach could be achieved by using relaxed layering.

Divide the application into different modules/projects each responsible for a layer in onion architecture. Low coupling in which one module interacts with another module and does not need to be concerned with the other module’s internals. All the internal layers need not be concerned about internal implementation of external layers.

Domain services

The Infrastructure layer can also be easily scaled by adding more servers or resources to handle the increased load. Onion Architecture separates the application into layers based on their responsibilities. This separation makes the application more modular and easier to understand.

What is Onion Architecture in Software Development?

These layers can change, but the domain entities layer is always in the middle. The other layer describes an object’s behavior in greater detail. The deeper we go, the more we know about the domain and business rules. The outer rings are mechanisms , whereas the inside circles are fundamental domain logic. The outer layers rely on the inner layers, and the inner layers are unaffected by any changes being introduced in the outer rings.

What is Onion Architecture?

We can notice that Controller takes both IUserService and IUserProfileService as a constructor parameters. The ASP.NET Core dependency injection will take care of passing an instance of these services into UserController. The controller is developed to handle operations requests for both User and UserProfile entities. Now, let’s develop the user interface for the User Listing, Add User, Edit User and Delete User. To implement the Onion Architecture in the ASP.NET Core application, create four projects as described in the above section.

We’ll explore them shortly, but first let’s have a look at what each of these patterns are about individually and how they compare to one another. Today, we will discuss Onion Architecture which is also said to be a cousin of layered and hexagonal architecture. The web world is a collection of various traditional architectures.

We typically include APIs in this layer that offers object saving and retrieval functionality, usually by utilizing a database. A data access pattern encourages a more loosely coupled approach to data access. We create a generic repository that searches the source for data, maps the data from the source to a business entity, and tracks changes in the business entity back to the source. Most of the traditional architectures raise fundamental issues of tight coupling and separation of concerns. Onion Architecture was introduced by Jeffrey Palermo to provide a better way to build applications in perspective of better testability, maintainability, and dependability. Onion Architecture addresses the challenges faced with 3-tier and n-tier architectures, and to provide a solution for common problems.