But, whether it is right or not, as an architect/manager, etc, you have to think about what’s not just best technically. You also have to manage your reputational risks if things go south and less selfishly, how quickly can you find someone with the relevant experience.
From a reputation standpoint, even if AWS and GCP have the same reliability, no one will blame you if AWS goes down if you followed best practices. If a global outage of an AWS resource went down, you’re in the same boat as a ton of other people. If everyone else was up and running fine but you weren’t because you were on the distant third cloud provider, you don’t have as much coverage.
I went out on a limb and chose Hashicorp’s Nomad as the basis of a make or break my job project I was the Dev lead/architect for hoping like hell things didn’t go south and the first thing people were going to ask me is why I chose it. No one had heard of Nomad but I needed a “distributed cron” type system that could run anything and it was on prem. It was the right decision but I took a chance.
From a staffing standpoint, you can throw a brick and hit someone who at least thinks they know something about AWS or Azure GCP, not so much.
It’s not about which company is technically better, but I didn’t want to ignore your technical arguments...
Native integration with G-Suite as an identity provider. Unified permissions modeling from the IDP, to work apps like email/Drive, to cloud resources, all the way into Kubernetes IAM.
You can also do this with AWS - use a third party identity provider and map them to native IAM user and roles.
https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_cr...
Cost. Apples to apples, GCP is cheaper than any other cloud platform. Combine that with easy-to-use models like preemptible instances which can reduce costs further; deploying a similar strategy to AWS takes substantially more engineering effort.
The equivalent would be spot instances on AWS.
From what (little) I know about preemptible instances, it seems kind of random when they get reassigned but Google tries to be fair about it. The analagous thing on AWS would be spot instances where you set the amount you want to pay.
Class leading software talent. Google is proven to be on the forefront of new CS research, then pivoting that into products that software companies depend on; you can look all the way back to BigQuery, their AI work, or more recently in Spanner or Kubernetes.
All of the cloud providers have managed Kubernetes.
As far as BigQuery. The equivalent would be Redshift.
https://blog.panoply.io/a-full-comparison-of-redshift-and-bi...
Reliability is just one factor in the equation, and GCP definitely isn't that far behind AWS
Things happen. I never made an argument about reliability.
