react-relay VS PostgreSQL

GraphQL Relay is one of the most powerful GraphQL clients that you can found on the web environment. It provides to you a lot of features that lets your development flow in a scalable way.

GQty (https://gqty.dev/) and Relay (https://relay.dev/) will combine fragments or queries you request in your React components and will handle combining these / getting the data each component needs with as few queries as is possible. Are there any other clients I’ve missed? It’s not immediately clear to me whether this is possible with Urql via Exchanges (https://formidable.com/open-source/urql/docs/advanced/authoring-exchanges/).

Inside Woovi, our entire codebase is managed by GraphQL using the Relay client framework. To ensure the best UX possible for our final user, we give some useful features in our payment link, like the real-time update after paying a charge. It's all handled by our GraphQL, which won't be solvable by templates in our use case.

Since you mentioned Node CRUD APIs, I'd probably suggest looking at Relay/GraphQL. Would give you exposure to some interesting and employable skills that wouldn't require you learning an entirely new domain on top of it. They are rewriting the current compiler in Rust, which since you mentioned Rust might be interesting to follow. Uneducated takes, but GraphQL is a schema IDL, so would probably be a good place to start to minimize lexical complexity while still having some cool abstract concepts to learn (interfaces, unions, etc).

You may be familiar with Global Object Identification(GOI), especially if you've used Relay.

Relay (17k ⭐) -> The production-ready GraphQL client for React, developed by Facebook, was designed to be performant from the ground up, built upon locally declaring data dependencies for components.

I think open sourcing for free labor is a common misconception. Most corporate led open source projects (eg, https://github.com/bottlerocket-os/bottlerocket from AWS or https://github.com/facebook/relay from Facebook) still require a team of employees.

If you look at relay.dev, Relay is the GraphQL client that scales with you. This definition is simple and defines Relay pretty well for the ones that already know all the features that Relay brings to the table.

https://github.com/psf/black/issues/338 https://github.com/VeriorPies/ParrelSync/issues/61 https://github.com/prusa3d/PrusaSlicer/issues/5751 https://github.com/iterative/dvc/issues/2530 https://github.com/facebook/relay/issues/3647 And I know godmode9 at one point absolutely freaked when navigating into a symlink. It kinda depends on the app and what it's trying to load

PostgreSQL

The LMS Moodle Operator serves as a meta-operator, orchestrating the deployment and management of Moodle instances in Kubernetes. It handles the entire stack required to run Moodle, including components like Postgres, Keydb, NFS-Ganesha, and Moodle itself. Each of these components has its own Kubernetes Operator, ensuring seamless integration and management.

Another key feature of txtai is being able to quickly move from prototyping to production. This article will demonstrate how txtai can integrate with Postgres, a powerful, production-ready and open source object-relational database system. After txtai persists content to Postgres, we'll show it can be directly queried with SQL from any Postgres client

SQL (Structured Query Language) databases are relational databases. They organize data into tables with rows and columns, and they use SQL for querying and managing data. Examples include MySQL, PostgreSQL, and SQLite.

Node.js, MySQL and PostgreSQL servers installed on your machine

Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).

I've used MySQL for years. But recently, I found myself working PostgreSQL and simple things like dumping and restoring a database are different enough that I decided to document the process. It's straightforward enough once I knew how.

A running Rails application needs a database to connect to. You may already have your database of choice installed, but if not, I recommend PostgreSQL, or Postgres for short. On a Mac, probably the easiest way to install it is with Posrgres.app. Another option, the one I prefer, is to use Homebrew. With Homebrew installed, this command will install PostgreSQL version 16 along with libpq:

PostgreSQL