examples VS PostgreSQL

StepZen is a platform to build and deploy GraphQL APIs that integrates and aggregate data from various sources. In the demo section, I will show how to build a GraphQL API in declarative code using StepZen.

Great! With this, we've implemented the login flow using Auth0 and StepZen. You can find the complete source code for this blog post on GitHub.

The final step is to use GraphQL. We'll create a free account on StepZen. Once logged-in, we can access the Account, Admin Key and API Key.

You can find a complete example of using StepZen to implement the Authorization Code flow in the StepZen GitHub repository.

Have a look at https://stepzen.com, which allows you to federate any data source no matter the framework or service used to create it. It has a generous free tier

When moving away from Apollo Server, and you're looking for a replacement built with JavaScript or TypeScript, let me give you some options. If you want to keep building your GraphQL API schema first, you might want to consider Mercurius (which relies on Fastify) or GraphQL Yoga. If you're going to build your GraphQL API code or resolver first, have a look at TypeGraphQL or Nexus. Alternatively, there are great GraphQL-as-a-Service solutions such as StepZen in case you no longer want to build, maintain and host your own GraphQL API.

But you can also build a GraphQL API using a code-first GraphQL server library. This means you can write the resolvers and then generate the schema from the resolvers. Code-first libraries are much closer to tRPC in terms of Developer Experience but still more challenging than using a GraphQL-as-a-service like StepZen.

After installing, you can choose to run StepZen locally using Docker or in the cloud by signing up for a free account at stepzen.com. For this example, we'll be using the cloud version, for which you can sign up for a free account using your GitHub account.

StepZen is participating in Hacktoberfest, and you can contribute by adding a new integration or improving an existing integration in our Examples repository. Every PR to this repository will count towards your Hacktoberfest goals.

To get a GraphQL using StepZen, you can connect your data source or use one of the pre-built examples from Github. In this post, we'll be taking a GraphQL API created on top off a MySQL database from the examples. By cloning this repository to your local machine, you'll get a set of configuration files and .graphql files containing the GraphQL schema. To run the GraphQL API and deploy it to the cloud, you need to be using the StepZen CLI.

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

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: