Crawler Separation Fairness
Crawler Separation Fairness is a small project I built to reason about how different web crawlers should be separated and treated fairly when they hit shared infrastructure. The focus is on defining a clean boundary between crawler classes and making those boundaries observable and enforceable.
This is useful when you operate services that face mixed bot traffic and want to prevent one crawler from starving another, or from overwhelming shared queues and caches. A clear separation policy makes capacity planning and rate‑limiting decisions more defensible and easier to tune over time. View Code
Technical takeaway: model crawler fairness as a first‑class constraint (not a side effect) and make it measurable. Even simple, explicit partitions—paired with lightweight metrics—can turn an opaque traffic problem into something you can debug and iterate on safely.
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