Loom: Efficient Capture and Querying of High-Frequency Telemetry

To debug performance issues, engineers often rely on high-frequency telemetry (HFT) from sources like perf, DTrace, or eBPF, which can generate millions of records per second. Current database systems are too slow to capture such highrate data in its entirety, and the de facto standard approach of writing HFT to raw files makes queries slow and cumbersome. Engineers must therefore either work with incomplete data, which risks missing critical events, or accept slow queries.