But it's look like your auto generated API support only CRUD operations, this can be very limited even for common use cases like: "Create a new order" make some business validations, store in the db, generate a pdf, send an email ...
I left OVH years ago after several outages (network, electricity and sometimes hardware failures)
Also the OVH support was between horrible to nonexistent.
All our servers went to AWS, cost more money for the hosting but a lot less in staff and no more downtimes since years!
If you have serious workload and critical systems to run OVH is a joke
So you can download and cache locally some resources then reuse them on next call while the function is still active (20 to 40 minutes based on my tests.
It's seems very interesting, but to be honest after watching the demo video, most of the thing "automated" (I don't see any AI here) are related to poor practices...
Some other features seems interesting, let's see how the product evolve.
Thanks for this fun article :)
I noticed your serverless function response time is between 2000 to 3000ms, I wonder why and it would be super interesting to have more details about time taken by each step of the process (python proxy / dosbox / qbasic / openwhisk)
We made a serverless backend with an API builder based on aws lambda. We have hundreds of production system running on it, so we are pretty happy with serverless :)
It's a fully serverless solution, nothing to install on your side, you can do everything in the browser directly. and we have a free tier :)
Also we have no lock-in, you can export everything in a ZIP, static files, db backup in mysql format, API source code in your language (Node.js, Python, Java, C#, Go, ...)
Congratulation for launching your beta!
This seems quite similar to what we do here: https://cloudbackend.appdrag.com/
But it's look like your auto generated API support only CRUD operations, this can be very limited even for common use cases like: "Create a new order" make some business validations, store in the db, generate a pdf, send an email ...
Disclaimer: I'm the CTO of AppDrag