Designing a Google Docs Ingestion Pipeline

Most ingestion systems fail at the edges: malformed files, duplicated events, and ambiguous ownership between parsing and indexing.

This post captures a pipeline design that prioritizes recoverability and operator clarity over perfect throughput benchmarks.

The architecture is organized around three guarantees:

1. Intake can fail fast without corrupting downstream state.
2. Transform steps are observable and replayable.
3. Index writes are idempotent and audit-friendly.

The result is a system that degrades predictably under load and remains maintainable as content volume grows.