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Learn about InvisiFlow, a novel communication substrate designed to collect network telemetry data without interfering with user traffic in this 16-minute conference presentation from NSDI '25. Discover how traditional telemetry transmission methods create significant overhead and data loss, particularly in heavily loaded networks, and explore InvisiFlow's innovative approach that dynamically seeks spare network capacity through opportunistic sending and congestion gradients. Examine the technical implementation that minimizes both telemetry data loss rates and user traffic overheads, with performance results showing near-zero loss rates in FatTree topologies and approximately 33.8× lower loss compared to state-of-the-art transmission methods used by systems like Everflow and Planck. Understand the implications for network applications ranging from traffic engineering to path tracing, and gain insights into how this silent telemetry approach addresses the fundamental challenges of fine-grained network monitoring in production environments.
