![]() When we need to add business functionality to an application, therefore each vertical slice should contains the minimum viable code it needs to implement its feature.Įach slice is encapsulated so that the application doesn't need to know what goes on inside the slice it merely passes a Request and receives a Response. Instead of dividing code by type, kind or layer, we organise it by the change we need to make. The aim is to reduce coupling between features to only concern ourselves about a single vertical slice not N-layers, which improves maintainability. In Vertical Slice Architecture, A feature manages its data access code, domain logic and its presentation code, this way we can lowering the coupling and high cohesion between features. Vertical Slicing implies a piece of work cuts across all system layers, which can include but not limited to user interface, services, api, database and other logic used. Typically used in Agile Software Development, to enable a team to be able to execute work during a sprint so that when completed delivers value. It's a process of breaking up work to split up larger features and functionality into more bite sized pieces of work. The aim is to have all system components included so that the system can function with this piece of work. Work items have just enough scope and functionality with just enough coverage across all system components involved to be fully functional. breaking functionality down into small pieces. Vertical slicing is defined as narrowing a work item down to a narrow focus i.e. In why Vertical Slice Architecture makes sense I discussed in more detail how Vertical Slice Architecture actually originates from the practice of Vertical Slicing of user stories in Agile Software Development. Code is organised by function rather than feature or business process. Heavy Coupling Inside Layers - Heavy coupling within a layer, light coupling between layers. controllers MUST talk to a service which MUST use a repository. ![]() This often requires Unit Tests to have a number of mocks or stubs created.Ībstractions Upon Abstractions - Repository pattern, Service pattern which leads back to rigid rules appearing on how code must flow e.g. Mock Heavy - Any layer that wants to talk to another layer has to be through an interface or an abstraction. Splitting off features/capabilities for things like scaling out can be a lot of effort. Monolithic in approach - The way the system is structured, like an onion, it's typically monolithic in its approach. The following are some of the disadvantages of using the layered architecture The Elasticity and scalability rates for Layered Architecture are also fairly low due to the monolithic nature of deployments. One of the difficulties of using the layered architecture approach are its dependencies of developers having to create abstractions and its lack of architectural modularity. In the Fundamentals of software architecture one of the reasons for the popularity of the layered architecture pattern is primarily due to its ease of understanding and not really due to its ease of use.
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