DEV Community πŸ‘©β€πŸ’»πŸ‘¨β€πŸ’»

Discussion on: Why use AWS Lambda for Data Science?

Collapse
 
nicfoxds profile image
Nic Fox

This is so useful! Thank you for sharing it. How does AWS compare with Google in terms of costs and ease of use? I tried using Google a while back and found it too complicated, and also had trouble with being charged for something I wasn’t using. It’s put me off exploring paying for cloud computing. I’m just using Google Colab (GPU) now which is easy and free but is restrictive (e.g after 12 hours of using it I am blocked from using it again for 24 hours)

Collapse
 
daveparr profile image
Dave Parr Author

I actually haven't used much g cloud tbh, though lots of people really rate it :) a real draw back of Aws compared to Azure is clarity of how it plugs together. This is really only a surface level intro. Other articles will move into plugging it into API gateway, Sam for cloud formation, maybe even logging and ci/cd.

Cost on lambda I found to be very generous in the free tier. Most hobby projects won't break out of that, but also tbf you will incur very small costs for using API gateway to handle request/response, and s3 to store custom layers (which will be future articles).

I would estimate the end to end costs to be acceptable even for low traffic personal projects. For less than something like 200,000 requests you can have systems running at less than a few pounds.

Collapse
 
nicfoxds profile image
Nic Fox

Thanks Dave πŸ‘πŸ½