MERN STACK ARCHITECTURE DIAGRAM DRIVERS
MERN STACK ARCHITECTURE DIAGRAM DRIVER
MERN STACK ARCHITECTURE DIAGRAM SOFTWARE
MERN STACK ARCHITECTURE DIAGRAM CODE

Create a data-access API that depends on model and in-memory DB.

Defer DB decision by using in-memory JSON store.

Start with models, schema and validation.

In practice, we can defer technology decisions by writing our application in the following order: L students.js // requires our data-access students-db

MERN STACK ARCHITECTURE DIAGRAM DRIVER

L cli // cli driver depends on data-access students-db L index.js // uses mongoose implementation of findStudent, listStudents, dropAll etc. L serializer.js // serializes to DB specific properties (e.g. L index.js // expose the memory implementation of findStudent, listStudents, addStudents

MERN STACK ARCHITECTURE DIAGRAM DRIVERS

L index.js // other controllers and drivers rely on this API (findStudent, listStudents, addStudent) = MIDDLE LAYER =ĭata-access // think of it as our internal ORM (logic for our use-cases lies here) this is different to our business logic models which handle tests and validation L student.js // models specific to mongodb. L students-seeds.js // async seed students db

L // tests for validation schema for all models L index.js // consistent API if ever to switch out a new validation library L validator // wrapper around JOI validation library

L student-schema.js // student validation schema L student.js // simple model takes info, validates and returns read only object L index.js // dependency inject schema/ validation library Models // create new entity by validating payload and returning new read only object It communicates only with the data-access layer.Įxample application structure = INNER LAYER = Represents the UI or interface (Web or CLI). Testing here will ensure that replacing or using multiple DBs doesn't break anything further upstream. The key is to have a consistent & custom API that all outer layers communicate with. Depends on the model to validate and create the entity in DB. Handles transfer between the DB (like an ORM). Note that in Clean Architecture this is considered an outer layer framework, but for practical applications I find it easier to place it inner and have the data-access layer depend on it rather than injecting it in. Our choice of DB (in memory, MongoDB, SQL), this is independent of the model. in Mongoose DB ORM, their models should be encapsulated in the DB layer below). Note that this should be custom logic and not include the DB implementation of models (e.g.

Handles the creation, validation and reading of our entities (students and teachers). Inner layers cannot depend on outer layers and outer layers should only depend one layer in: The application is separated into three layers. Note: this application is different to the Clean Architecture diagram above but attempts to achieve the same outcome. It includes examples using different interfaces (CLI and Web), databases (in memory, MongoDB), and libraries (validation). It is a simple API for creating students and teachers and includes validation, persistence and UI.

MERN STACK ARCHITECTURE DIAGRAM SOFTWARE

This is an example of a simple CRUD application with layered software and separation of business logic vs technology. Practical Example of Clean Architecture in Node.js database, platform, framework).īy following clean architecture, you can write software today that can be easily switched out for different technologies in the future.

MERN STACK ARCHITECTURE DIAGRAM CODE

In practice, choice of technology should be the last decision you make or code you write (e.g. Business rules don't know anything about outside world. You can easily switch CLI for Web or RasberryPi. Can be tested without external dependencies. Libraries and frameworks should be treated as tools and not dependencies. Resilient software is divided into layers, underpinned by business logic and is independent of technologies. Uncle Bob's famous Clean Architecture is a way to write resilient software.

Mern stack architecture diagram