Ask HN: Where to Host a FastAPI App I am looking for something similar to pythonanywhere which is great for WSGI apps but it doesn't support ASGI apps which I need. |
Ask HN: Where to Host a FastAPI App I am looking for something similar to pythonanywhere which is great for WSGI apps but it doesn't support ASGI apps which I need. |
Are CEOs just smashing refresh on HN looking for their names? (jk, I know it's some API driven thing)
Yes it will take time to learn it, but the ability to spin up a super cheap digital-ocean/linode/hetzner node is a valuable skill to have in your back pocket.
Note, you probably shouldn't do it by hand (setting up your own servers). You'd use Ansible/Terraform.
For those that are interested but not quite ready, here's a great article [0].
Your best bet is probably to containerize your application instead of looking for services that natively support ASGI.
For PaaS, if you want a set-it and forget-it solution check out Render or DigitalOcean App Platform. If you want to dive a little bit deeper and learn about different offerings from the major cloud providers, compare the features of Google Cloud Run and App Engine, or AWS App Runner. All of these providers offer databases too.
Either way I recommend learning how to containerize your app because then you can run anything almost anywhere.
It uses uvicorn as recommended by the FastAPI docs.
[1] https://github.com/hbcondo/revenut-api/blob/main/Procfile
[0]: https://vercel.com/docs/functions/serverless-functions/runti...
* encore.dev
* koyeb.com
They are not as popular as other services but they provide a good service very cheap/free.
I have no complains so far for my 4 pet projects (I use litestar with docker for all my projects)
The quick start is even easier to get going since they have some hooks to quickly build the container: https://cloud.google.com/run/docs/quickstarts/build-and-depl...
So, I'm currently dealing with this (like, today.) I containerized my web app. I started out with a $4 Droplet on DO. SSH'd into it, installed all the Docker stuff and cloned my repo. Could not even run npm ci with the resources available.
I kept having to resize the VM. First up to the $6 then I was running into different stuff. I ended up going up to the $24 / mo option just to get the image building. I didn't step up to every price point, because I just wanted to get the thing working, but I was really surprised at this. I don't think my Docker container is particularly resource intensive. I dialed it back to the $12 / mo option and will see how it goes.
But at least I have my whole app in a Dockerfile and the remaining infrastructure in a Docker Compose file. I like having that level of control.
Personally, my issue with PaaS is on top of being more expensive and potential vendor lock in, it often has its own little gotchas that end up not making it more convenient than the "hard way." I tried to use Digital Ocean's App Platform to build my image instead before and it was giving me Vite issues. It literally wouldn't compile even though it was compiling just fine locally and on the VM.
I think about other services like Cloudinary too. Compared to just using Sharp to do things like image transcoding. I just don't see the value there.
Overall, devops is not my area. I used to consider myself a front-end developer. But I'm glad I have been learning these skills. I don't think these "value added" services are worth the squeeze.
This makes very little sense to me. I’ve been using $4 droplets to host a variety of projects (much of the time on the same server) and have rarely hit such issues.
How inefficient is the code for it to need the $24 droplet?
You probably shouldn’t be building the image on the droplet though, maybe build locally, release to docker registry, and only pull the image from the server.
I also think moving from npm to pnpm and leveraging caching will help. But the dockerfile itself is very very simple.
I recommend nginx or Apache for the learning exercise. Then go with whatever best suits your use case. My rule is choose that which fits the objective and which doesn't overburden with cognitive load. So I don't use Apache for anything and sometimes just use python's built in. suitability for purpose and usability is what counts for me.