MongoDB VS Nest

Data Handling: Utilizes Windmill for data pipelines, with a primary database powered by PostgreSQL. Auxiliary data storage is handled by MongoDB, with Redis for caching to optimize performance

MongoDB

First, visit MongoDB Atlas and create an account, or sign in if you already have one. This article will guide you through the process of creating a MongoDB account. You should be redirected to your dashboard once you have completed the process. Locate the Connect button and click it.

On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra.

I built each API with Node.js, Express, and Docker. Services connected to a NoSQL MongoDB database.

In edge computing, managing time series blob data efficiently is critical for performance-sensitive applications. This blog post will compare ReductStore, a specialized time series database for unstructured data, and MongoDB, a widely-used NoSQL database.

MongoDB to store our data as documents, close to JS objects

MongoDB: Known for its ease of development and strong community support, MongoDB is effective in scenarios where flexible schema and rapid iteration are more critical than strict ACID compliance.

MongoDB

Ensure you have MongoDB installed for data storage. You can download MongoDB Community Server from MongoDB's official website or use the cloud cluster.

When using the NestJS framework, sometimes you may need to change some default timeout. You can define them just like you'd do in a plain Node.js HTTP server like so:

Back: a graphQL server built with Nestjs

NestJS - opinionated more scalable, but harder to learn docs

Pragmatically, we can apply this to a Nest application by creating an Interface for our services, separating the Presenter layer (Controller) from the Use Case (Services):

It’s a text document that contains all the commands a user could call to assemble an image. Let’s check an example of a Dockerfile for a nodejs app in this case it will be a NestJS app and then explain each part.

describe('Create bookmarks', () => { const dto: CreateBookmarkDto = { title: 'NestJS', link: 'https://nestjs.com/', }; it('should create bookmark', () => { return pactum .spec() .post('/bookmarks') .withHeaders({ Authorization: 'Bearer $S{userAt}', }) .withBody(dto) .expectStatus(201) .stores('bookmarkId', 'id')//store the bookmark id in the variable bookmarkId .expectBodyContains(dto.title) .expectBodyContains(dto.link) }); });

In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:

The purpose of this article is to provide a step-by-step guide for implementing authentication system in a NestJS project using the Passport middleware module.

That's exactly where I am. My manager gave me these links, that cover a lot of those words the backend uses, so I can identify what they mean and how to use them. 1. For inspiration and concepts: https://github.com/Sairyss/domain-driven-hexagon 2. Suggested to read the documentation for nest.js. They apply such concepts I don't understand: https://nestjs.com/