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My most basic definition of a product is:

Something I can insert money into, which solves a more expensive problem.

Kubernetes and TensorFlow are extraordinary technologies - and very important to the work I do daily. I don't think they're products though, certainly not successful products.



> Something I can insert money into, which solves a more expensive problem.

Right. I would argue that "public cloud infrastructure" is such a product; GCP/AWS/Azure specifically. (See below also) Kubernetes enabled the existence of EKS/AKS/GKE all of which I believe are considered successful.

Separately, TensorFlow enabled Azure Machine Learning, TensorFlow on AWS and Google Cloud TensorFlow Enterprise, and generally expanded (IMO) the market for IaaS.




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