apollo-tooling VS PostgreSQL

Apollo is deprecating their tooling, best to go with GraphQL Code Generator.

Alternatively, you can use Apollo GraphQL or any dependency of your choice to make API request.

When you talk about GraphQL, one simply cannot forget GraphQL Tools irrespective of the architecture or stack you use. Initially developed by Apollo and then taken over by The Guild, GraphQL Tools provides you a very powerful set of utility functions to work with GraphQL which you can use in your services irrespective of whethere you are using something like Apollo Federation or Schema Stitching.

The Apollo CLI when combined with Federation does come with a lot of helpers to take care of things like pushing the schema, listing the services in the studio, doing codegen and so on though I am not currently sure why they are rewriting it again to Rust apart from the reasons as suggested here.

ApolloGraphql: https://apollographql.com

The tech stack I used for this site was: Prisma w/ GraphQL-Yoga / Apollo & GraphQL / Express / NextJS / MongoDB

This is great, thanks. I'm wondering if you still need to explicitly reference types, such as with Apollo's codegen where you would do something like useQuery or is it fully automatic like in the gif in the article?

https://github.com/apollographql/apollo-tooling#apollo-clientcodegen-output

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

PostgreSQL: Offers a robust feature set and strong compliance with SQL standards, making it suitable for a wide range of applications, from simple to complex, particularly where data integrity and extensibility are key.