Meta Engineering

Overview

Meta runs the largest social graph on earth across Facebook, Instagram, WhatsApp, and Threads, and their engineering org has shaped how the industry thinks about caching, distributed storage, and ML infrastructure for over a decade. The blog goes deepest in three areas: cache consistency at multi-region scale (TAO and the consistency invariants that keep 3B+ users seeing fresh data), foundational storage systems (ZippyDB key-value, Delta chain replication, FOQS distributed priority queues), and GenAI training infrastructure (RoCE fabrics, FSDP, the data centers built for Llama). For interviews, 'Cache made consistent - How Meta handles cache invalidation' is the canonical reference for cache-invalidation questions, and 'How we built a general purpose key value store for Facebook with ZippyDB' is the template for designing a distributed KV store from scratch.

Interview questions

• What topics does Meta engineering blog cover?
• What can I learn from Meta's engineering blog for interview prep?
• Which Meta blog posts are most relevant for system design interviews?

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