Work

Loom: Efficient Capture and Querying of High-Frequency Telemetry

Year: 2025

Type: conference-paper

Abstract: 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.

Source: ACM SIGOPS Symposium on Operating Systems Principles (SOSP)

DOI: 10.1145/3731569.3764853

Authors: Franco Solleza, Shihang Li, William Sun, Richard Tang, Malte Schwarzkopf, Andrew Crotty, David Cohen, Nesime Tatbul, Stan Zdonik

Institutions: Brown University, University of Washington, Northwestern University, Massachusetts Institute of Technology

Language: English

Topic: Advanced Database Systems and Queries

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Intel Corporation, Microsoft

OpenAlex ID: W7084105813

FWCI:

Cites: 1

Cited by:

Related to: