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Production and MLOps Section 088

Feature and Data Pipelines in Production

Keeping the numbers a live model reads fresh, correct and fast — the part that breaks most often.

Every lesson in this section is written by .

10 of 10 lessons published Three reading levels on every lesson

Start with “Point-in-time correctness”

Lessons in order

Work top to bottom. Each lesson assumes the one above it.

  1. Point-in-time correctness
  2. Feature freshness
  3. Backfilling a new feature
  4. Streaming feature aggregation
  5. Low-latency feature lookup
  6. Missing features at serve time
  7. Versioning and retiring features
  8. Re-embedding and reindexing
  9. Rebuilding an index with no downtime
  10. Document ingestion pipelines for RAG