korrents

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Kubernetes is an essential skill for data scientists and ML engineers to learn

Drawn from what Chip Huyen said, then moved away from

What this subject means

infrastructure Building the large physical things -- reservoirs, roads, pipelines -- and why some countries have stopped being able to.

What Chip Huyen actually said

  1. Chip Huyen · held 11 months Engineer and writer on machine-learning systems

    When I wrote that tweet, I believed that Kubernetes was essential to the DS/ML workflow. This sentiment came from the frustration at my own job – my life as an ML engineer would’ve been much easier if I was more fluent with K8s. However, as I learned more about low-level infrastructure, I realized how unreasonable it is to expect data scientists to know about it.

    Infrastructure requires a very different set of skills from data science. In theory, you can learn both sets of skills. In practice, the more time you spend on one means the less time you spend on another.

Added to korrents 24 Oct 2026 · How quotes work · Something wrong? Tell us

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