airbyte VS Nest

I'l also give a shout-out to Airbyte (https://airbyte.com/), with which I've had some limited success with integrating Salesforce to a local database. The particular pull for Airbyte is that we can self-host the open source version, rather than pay Fivetran a significant sum to do this for us.

It's an immature tool, so I don't yet know that I can claim we've spent _less_ than Fivetran on the additional engineering and ops time, but it feels like it has potential to do so once stabilized.

Link to GitHub -->

When it says "available in open source", is that under the main airbyte repo's licensing [1], hence primarily licensed under the Elastic License v2 and therefore not typically considered open source by many?

Airbyte has previous of advertising their offering as open source while not really being as per the OSD[2]. This has been raised with them previously but without response [3][4]. They've also been extending their use of ELv2, recently moving many of their existing MIT licensed connectors to be ELv2 [5].

[1] https://github.com/airbytehq/airbyte/blob/master/LICENSE

As possible solution, I can suggest Airbyte(https://airbyte.com/). it's more performant than generic python script.

Airbyte, an open-source data integration engine that offers hundreds of connectors with data warehouses and databases, has gained popularity for its seamless integration and data syncing capabilities. Xata's integration with Airbyte offers a streamlined data ingestion process from any Airbyte input source directly into your Xata database.

You can try and contribute some new connectors/operators for workflow managers like Airflow or Airbyte

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/