architect VS fastapi

Not sure why this is downvoted, Fastify is quite popular and the 'generator for everything' approach of Koa didn't really take off.

Architect serverless (https://arc.codes) is pretty good for serverless.

Architect is a heavily opinionated framework for building FWA's, Functional Web Apps. It uses AWS SAM under the hood but provides a layer on top with simplified abstractions that lets developers define and use AWS infrastructure without necessarily knowing what service is backing their "events" construct.

I work for vercel but I highly recommend a host like us because we make it a lot easier to manage a lambda environment and being a lot more to the table (cdn, edge functions, etc). If you want to go your own I really like architect https://arc.codes too. It really depends on your traffic and application patterns but cold starts can be virtually nil.

It uses: - Remix for the frontend - Architect for the backend

Alternately, use Architect. Architect is a 3rd party developer experience that builds on top of AWS SAM. Architect includes a TypeScript plugin.

For us at Begin and Architect, tape has been in use for several years. tape has a stable and straightforward API, routine maintenance updates, and outputs TAP, making it really versatile. While TAP is legible, it's not the most human-readable format. Fortunately, several TAP reporters can help display results for developers. Until recently, Begin's TAP reporter of choice was tap-spec. Sadly tap-spec wasn't kept up to date and npm began reporting vulnerabilities.

Architect will help set up various HTTP routes (API Gateway endpoints backed by Lambda functions) to handle incoming webhook data.

Instead, let’s leverage the power and scale of AWS with the ease of Architect and Begin. Without managing AWS projects, IAM roles, or connecting EventBridge to a series of Lambdas.

I would start with separating the frontend and backend, as some others have suggested. I would probably use react but could try svelte or vue also. In the start you can mock the backend or have a memory-kept version of it.

For backend (the api) I would go for c# or nodejs (maybe with nextjs). I might combine this with a serverless solution like Architect.

https://github.com/architect/architect

An API application framework (such as FastAPI)

It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.

This ends up made worse if you’re using sync routes.

If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.

This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759

Fast API.

We will create our API using FastAPI, a modern high-performance web framework for building fast APIs with Python. It is designed to be easy to use, efficient, and highly scalable. Some key features of FastAPI include:

FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework.

FastAPI is a modern, fast web framework for building APIs with Python 3.7+ that automatically generates OpenAPI and JSON Schema documentation. While FastAPI simplifies API development, manually creating and updating API documentation can still be a time-consuming task. In this blog post, we’ll explore how to leverage FastAPI’s automatic documentation generation capabilities, specifically focusing on Swagger and ReDoc, and how to streamline the process of documenting your APIs.

TiTiler is a dynamic tile server built on FastAPI and Rasterio/GDAL. Its main features include support for Cloud Optimized GeoTIFF(COG), multiple projection methods, various output formats (JPEG, JP2, PNG, WEBP, GTIFF, NumpyTile), WMTS, and virtual mosaic. It also provides Lambda and ECS deployment environments using AWS CDK.

To make it a bit more realistic, we’re going to use a FastAPI route as an example, and we’re also going to use FastAPI’s dependency injection, which can really help with readability (and testability, but more on that later).

2. FastAPI - Turbocharge Your Web APIs with Python ⚡