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Where ML and DevOps Meet - ML 108

Adventures in Machine Learning

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DevOps

I was helping a startup last year when I was introduced to them, they had some terrible database performance. Within two days, we had it working effectively for request-vers. And so effectively, we post, yeah, it was almost that simple. We ended up postponing that data layer rewrite for months because it was still needed to happen, but it became something that was no longer urgent.

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