Set up a GraphQL Backend with Hasura and Docker

Add a Postgres Database Table to a Hasura GraphQL Backend 

Configure and Use a Azure Serverless Function

Extend a Mutation with a Azure serverless function with GraphQL Actions

Encrypt Passwords with a Serverless Function

How to Extend a GraphQL API

Use [Hasura](https://hasura.io/), an open source GraphQL engine to setup a backend.

You need to have Docker installed. You can [install](https://docs.docker.com/install/) from the Docker website.

Instructor: [0:00] Let's start with a folder for our API. Then we need to cd into this folder and create a Docker Compose file. This is where our Docker configuration is just going to leave in and would specify images for this particular API we're building inside this composed file.

[0:21] Let's edit this file. Basically, what I'm going to do now is to paste this configuration here. What is going on is that I have a Postgres database which uses this password to set up database and connect to it.

[0:39] I have a GraphQL engine which is based off a Hasura GraphQL engine and then it's exposed on port 8080. At the end of the day, when we visit port 8080 we should have access to our API or rather our GraphQL API. Then we're seeing that it depends on the Postgres database it created, and then uses all these environmental variables to set itself up.

[1:03] For example, it's using this database URL to create a connection to the Postgres image we set up before setting up the GraphQL engine. Now I'm going to save this. Once I save this and run Docker Compose up...

[1:26] Now we have our backend set up. If you go to the port I showed you earlier which is the localhost:8080 port and then hit Enter, you should see that we have a GraphQL engine running here. We can basically start doing things like running queries, creating imitations, creating tables and databases, and so on.

Course

How to Extend a GraphQL API

Set up a GraphQL Backend with Hasura and Docker

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