Praveen Durairaju

Open source implementations of the GraphQL spec are now available in most popular languages. In this post we will look at the most popular libraries for each language for anyone to get started with and ways to add production ready features like Authorization, Rate Limiting, Caching etc.

Typically you would connect a database to Hasura and get GraphQL and REST APIs. But what if you already have existing GraphQL / REST APIs outside of Hasura? How do you reuse them without re-writing every functionality from scratch? In this post, we will talk about that and more.

In this post, we will look at how to approach various stages of development with Hasura, from localhost to staging -> going live to production and finally performing maintenance updates.

If you are running Hasura OSS, it's very easy to migrate to Hasura Cloud. We will look at why and how to migrate in this post.

Learn how to build a simple yet secure social media site where you can share photos of your kitties and see other people's kitten galleries! Uses Magic Auth and Hasura GraphQL

In this post, we will look at the different flavours and extensions of Postgres that cater to specific use cases and how Hasura supports them natively.

I had posted this question on platforms like Twitter, HackerNews and Reddit and got some interesting responses. In this post, I'm collating a bunch of these discussions to help frontend or full stack developers work better with PostgreSQL for their app.

Notion launched their REST API recently letting you connect your pages and databases to create powerful workflows. In this post, we will leverage the Notion API to create a GraphQL wrapper for one API endpoint.

Error handling in GraphQL is different on both server and client side tooling. You no longer are looking at HTTP status codes to debug what went wrong for the request made.

In this post, we will look at the various data/time types available through Postgres and exposed via GraphQL by Hasura.

In this post, we will look at how to migrate from Hasura v1.3 to the latest 2.0 version in different scenarios.

In this post, we will look at the best practices for using JAMStack in production and at scale. The architecture leverages static first to perform fast and dynamic on the client to cater to any complex interactions or data requirements.