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Great tip!

eriksencostaon Platform engineering: capabilities, roles, and its benefits for DevOps maturity

Platform engineering is an emerging practice that improves the developer experience and productivity by providing a compelling integrated product.

Mature organizations show a greater usage of platforms. They're the non-secret sauce of leading startups to nurture high-performance teams.

Understand how an engineering platform helps to reduce the teams' cognitive load alongside its roots in DevOps and Team Topologies.

eriksencostaon Google Open-Sourcing TensorFlow Shows AI's Future Is Data, Not Code

You have a good point. By open sourcing TensorFlow, Google will benefit from innovations contributed by the community at large.

Machine learning frameworks are now commodity software. I give my point about this in a blog post titled "TensorFlow is commodity software" http://blog.eriksen.com.br/en/tensorflow-commodity-software (HN link: https://news.ycombinator.com/item?id=10574444)

You last phrase is right too: Google built a massive infrastructure because it had Google File System, BigTable and MapReduce. Hadoop, inspired by the published papers, turned into a more sophisticated software (an ex-Google engineer said that, but other Googlers denying his claims) and grown into a big ecosystem of products and services. But while Hadoop was matching the feature set of Google's proprietary implementations, Google was getting even bigger.

eriksencostaon Tensorflow and monetizing intellectual property

This is really insightful!