graphql-eslint VS PostgreSQL

You can read more on this blog post and also check out the new graphql-eslint website (with the online interactive playground)

GraphQL ESLint for validation, linting, and checking for best practices and conventions (like all resolvers must be camel case!!! 💀).

## Next Steps Check out [the roadmap for the V4 version](https://github.com/B2o5T/graphql-eslint/issues/981), the next major will be released once ESLint 9 will out and of course, propose your suggestions 🙂. Don't forget to give a star ⭐️ for [GraphQL-ESLint](https://github.com/B2o5T/graphql-eslint) if you like it! And Happy New 2023 Year! 🎄🎉 🥂 ### Community Thanks to our contributors @FloEdelmann, @TuvalSimha and @tshedor.

This is cool. How much overlap does it have and/or not have with https://github.com/B2o5T/graphql-eslint ?

Those could be standards that are specific for a single codebase or shared in the community. As the GraphQL ecosystem is growing quickly, we decided it's important to create a modern integration between GraphQL and ESLint, that supports all the modern needs of a GraphQL developer: graphql-eslint.

Want to have ESLint support to enforce standards and maintain sanity across your team, try something like GraphQL ESLint and set it up with your preferred conventions.

GraphQL ESLint

In the previous blog, we had started going through "The GraphQL Stack" that we use at Timecampus going through various libraries and tools like VSCode, GraphQL Config, VSCode GraphQL, GraphQL ESLint, GraphQL Inspector, Typescript, GraphQL Helix and GraphQL Codegen. In this blog, we will continue our journey exploring from where we left off.

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