Unusable nowadays and monopoly that should be broken....
> Google’s open-source MapReduce paper that shaped the big data industry.
Experienced ETL practitioners laughed at that paper, knowing that was how DataStage and other Grid ETL platforms always worked. Imagine...spliting the data across nodes, working on it in parallel and then bringing it together...Oh my if was not for Google nobody would have thought about it...
> Then came containerization, then Google’s Kubernetes.
A platform full of security bugs, that they created because they lost the cloud wars:
Kubernetes: The Documentary [PART 1] - https://youtu.be/BE77h7dmoQU?t=122
They forgot about multitenancy, and 11 years after, they still dont have it....
> entire cloud computing industry seems to be based on Kubernetes, and our entire team develops on top of it.
Your team needs to go out more....
Nvidia had an edge in CUDA support but they were and are not anywhere near a generation ahead in CUDA acceleration.
Take a step closer to present with tensor processing and Nvidia is actually just getting started. GOOGLE has more experience with datacenter clustered TPUs and tensor acceleration; they are just waiting for the h100 to reach its peak lifecycle (~4 months) before they obsolete it and "release" a catch phrase and model number.