gunicorn VS axios

I'm hoping so – gunicorn has a long-open pull request that would fix `--reuse-port`, which currently does nothing

https://github.com/benoitc/gunicorn/pull/2938

However, I'm curious about the best way to deploy, specifically with regard to WSGI. I've tried using the raw eventlet WSGI server (`eventlet.wsgi.server(eventlet.listen(("", 8000)), application)`). I then start it with `python manage.py runserver`. This has worked okay, but I'm unsure about how scalable it is. It seems like the standard stack is Django + Gunicorn + NGINX. Based on `python-socketio` documentation, this should be possible. I tried django + eventlet + gunicorn, but it seems like gunicorn a) [doesn't play nice with eventlet](https://github.com/benoitc/gunicorn/pull/2581) and b) only supports one worker. Gevent + Gunicorn doesn't have this bug, but still only supports one worker. Also, I'm not sure how actively maintained gevent is. So I'm not sure how scalable either Gunicorn + eventlet or Gunicorn + geventlet is as a WSGI server. So I'm not sure if Gunicorn is my best bet, or if it's too limited.

For building your API, I recommend using the Flask library. It is very beginner-friendly, and you will be able to build a simple API in a matter of minutes! Keep in mind that, for a more serious project, you should definitely use something like gunicorn to run you API as a production server.

Interesting looks like it might actually be a python bug. Somehow just changing from sys.exit(0) -> os._exit(0) apparently fixes it.

https://github.com/benoitc/gunicorn/pull/2820

The cool thing is that you can easily migrate your WSGI- application such as Flask, Django, or Gunicorn to AWS.

Yeah, that's kind of the impression I was getting. I stumbled across a github issue for gunicorn along these lines.

Taking a glimpse at gunicorn's code it looks like they pretty much all do the same: 2. seems to be creating a wsgi app using django's internals, and 3. uses 2.

axios: To fetch data from the Strapi CMS API and also to fetch responses from our Express server.

Note, you can use any library for HTTP requests like axios. This example uses the http and node-fetch libraries available on npm.

Interact with other APIs over an encrypted channel. For example, you can use Axios with Node.js.

For this article, I will be using the TypeScript Starter template as shown in the screenshot above. This comes with Nodejs, Cheerio, Axios

Axios is suitable for a wide range of web development projects, from simple single-page applications (SPAs) to complex, large-scale enterprise software.

Axios for streamlined API interactions, facilitating seamless data fetching.

Axios is a popular HTTP client library for Node.js that provides a more user-friendly and feature-rich way to make HTTP requests. Axios simplifies error handling and supports features like automatic JSON parsing and request/response interceptors, making it a great choice for many HTTP request scenarios.

For this tutorial, we’re going to scan the file for malware using Verisys Antivirus API, and so we’ll add a package to make it easier to make external HTTP requests. Popular choices include Axios and node-fetch - for this article, we’ll use node-fetch

In the dynamic realm of JavaScript and front-end development, selecting the appropriate tool for HTTP requests is critical. Axios and Fetch stand out as two leading contenders, each offering distinct features and benefits. This article delves into their differences and practical applications, providing a comprehensive comparison.

Once you start to handle all the corner-cases of the fetch, you will find that you don't want to repeat the boilerplate each time you call network, so you will write some wrapper around the fetch or use redaxios library from Jason Miller, which provides axios-like API on top of fetch so it weights only 800 bytes, which is nice. But then you might need the axios interceptors which redaxios do not implement and if your application upload files and you want to track the upload progress with ProgressEvent, the fetch does not support that, only XMLHttpRequest does, on which the original axios is based. And after you write all your custom wrappers around fetch and upload wrappers around XMLHttpRequest, you might reconcider the original statement, that axios library is obsoleted.