We built our ML platform on AWS – and why that may have been a mistake
towardsdatascience.com
towardsdatascience.com
#1: $300 in free credits. It’s by far the best thing about GCP; especially for cost sensitive developers, it’s priceless.
#2: easier interface than AWS. I know 99% of the time I use GCP in the terminal, but that 1% where I have to configure VPC and spin up a new instance is arguably easier than AWS (mainly because you don’t see an onslaught of products when you click the sidebar)
I think many people do genuinely use AWS, but a good majority of devs (it seems like) are starting off with GCP.