Solving MLOps from First Principles
summary
A five-step, practical MLOps framework: first principles reasoning, define the exact problem, list concrete parameters, Google for existing solutions, pre-evaluate and stress-test, then integrate on one project and review after a quarter. Example: solve a dog-photo data versioning incident by preferring open-source tooling (DVC, MLflow, Label Studio, DagHub/dsub), checking GitHub commits/PR responsiveness, and running a stress test at ~10x expected size. Avoid analysis paralysis, all-in-one lock‑in, or rebuilding Google-scale systems.
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chapters (11)
- 0:00Intro
- 2:42About the speaker
- 3:39Frist Principles Thinking
- 5:144 Stages of Grief
- 9:06Assumptions about the SOLUTION
- 15:23Step 1 Define the Problem
- 16:32Step 2 Define the problem parameters
- 20:12Step 3 - Google the problem
- 25:20Step 4 - Evaluate solutions
- 29:00Step 5 - Integrate
- 32:25Questions
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