Solid scaling move. But relying on TTL-driven sampling risks neglecting rare queries that travel longer paths or through sequestered peers. I'd test an adaptive last-hop exposure: periodically probe a small, randomized set of TTLs and log tail latency, hit rates, and false positives in bloom filters. Keep backfill for deprioritized nodes but monitor for blind spots. If you can show stability across bursts, it's a clean win.