How Workers powers our internal maintenance scheduling pipeline

What this post added

This post details how Cloudflare Workers was used to build an internal maintenance scheduling pipeline. It addresses the challenge of managing complex, overlapping maintenance requests across a global network by creating an automated 'brain' that enforces safety constraints. The post highlights the use of graph processing inspired by Facebook's TAO to efficiently query data and an optimized fetch pipeline with request deduplication, caching, and backoff retries to overcome subrequest limits and achieve a ~99% cache hit rate.