I’m building TraceDB[1] because I think observability needs an overhaul. We pay a premium to index millions of near-identical spans, sample away the rare ones that might explain an outage, and still have to piece together what failed, where it started, and how it spread. All the data is largely there, but no one can make sense of it! Observability was hallucinating before AI made it fashionable.
I’m seeing near-100% root-cause accuracy on synthetic test data and am looking to validate that on real production workloads using OpenTelemetry tracing. If you’re open to chatting or experimenting, drop me a line! I’d also love to hear ideas or how we can improve observability.