serverless-websockets VS awesome-jsonschema

For long running jobs, it is useful to inform the user that something is going on. Nobody likes sitting and waiting hoping that work is being done. To help with this, we provide push notifications via the WebSocket microservice we created in my WebSocket tutorial.

For a real world example, you can check out my repo on AWS WebSockets.

There are two things you must do before configuring a custom domain: purchase your domain name and setup a public hosted zone. These will need to be done manually in order to pick up and deploy the stack contained in part five of the GitHub repo for the WebSocket.

Just like the three previous parts, the work is done ahead of time. To deploy the updates that add user notifications, run the following command in a terminal in the root of the repo on your local machine.

To get started with the spec for our WebSocket, checkout the part-three branch in the serverless-websockets repo in GitHub with the following command:

If you followed part one of this series, you deployed a basic WebSocket into your AWS account. It has the ability to add and remove connections, as well as add and remove subscriptions to specific entities. Today we are going to use a branch in that repo that enhances what we had.

Today we're going to go through an example of a WebSocket written in a SAM template. I chose a SAM template because of how easy it is to deploy a serverless application directly into AWS without the need for 3rd party services.

Truth. Zod is comparable to JSON Schema plus AJV, and it doesn't compare well at all. Your Zod code is all locked inside TypeScript so not only can it not be shared to any other language in your stack but it also cannot be serialized, which introduces many limitations. You also miss out on all the JSON Schema ecosystem tooling. (1, 2) For example the intellisense you get in VS Code for config files is powered by JSON Schema and schemastore.

The very first line of text below the header on the json-schema.org homepage is:

The framework's official website mentions a number of pros of FastAPI. In my opinion, the most useful features from a microservice perspective are: the simplicity of code (easy to use and avoid boilerplate), high operational capacity thanks to Starlette and Pydantic and compatibility with industry standards - OpenAPI and JSON Schema.

I've used Felte to reduce form boilerplate. Felte supports several different validation libraries like Zod. I actually used a custom validation function with ajv (which uses JSON schema).

(There is already a JSON Schema definition at https://json-schema.org/)

Like you said - standard XML isn't terrible. Adding on an XSD isn't terrible, because now you can enforce structure and datatypes on files provided by outside parties. Creating an XSLT is much more of a mental challenge, and probably should be left to tools to define.

Anything beyond those technologies is someone polishing up their resume.

While the aws-sdk is being installed to simulate DynamoDB locally, let me explain a few things about this command. First Comment will be the name of the model the scaffold creates. This model will be codified under app/models/schemas/comment.mjs as a JSON Schema object. Each of the parameters after Comment will be split into a property name and type (e.g. property name “subject”, property type “string”). This JSON Schema document will be used to validate the form data both on the client and server sides.

What you are looking is called Json-schema. Have a look at the implementations page, which will give you an idea of what you can do with json-schema, which also includes UI rendering.