Chaff • Engineering Lessons Learned

Chaff • Engineering Lessons Learned

Tech Blogs Digest 05.01 - 16.01

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Engineering Lessons Learned
Jan 19, 2026
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This time we AI-analysed 16998 posts for you, filtered out the chaff and hand-picked the wheat. Subscribe to stay up to date with future digests!

This week
  1. 🏗️ Architecture - Lyft’s feature store, AWS Lambda optimisations and more

  2. ⛁ Data - Airflow at scale, Iceberg cost reduction and complex data migrations without downtime

  3. 🧮 Data Science - optimising data transfers for inference and more

  4. 🤖 LLMs in production - self fixing applications (what?), prompt optimisations and more

  5. 🛡️ Security - Mercado Libre’s approach to apps security and several investigations

  6. ☕ Java - yet another Spring Boot set-up


🏗️ ARCHITECTURE

  • Lyft’s Feature Store: Architecture, Optimization, and Evolution | 11 min read

Lyft engineered its ML feature store to unify offline training and real‑time serving, tackling train‑serve skew and latency while evolving architecture and performance over 5+ years

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