signoz
for SREs, observability engineers
Why this scored 1
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology
Signal history
7-day window (free)The evidence
The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.
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Deploying SigNoz in 2026: A Survival Guide to ClickHouse v25+ and OTel Gotchas
Deploying SigNoz with ClickHouse 25+ and OTel requires careful architecture to avoid observability pitfalls. · for SREs, observability engineers
devtoSteadydevtools22d ago - 216
Instrumenting an AI-Powered GitHub Analyzer with OpenTelemetry and SigNoz
Ai analyzer instrumentation · for devops engineers
devtoEmerging 2 · opentelemetrydevtools55d ago - 37
Tracing a multi-agent LLM system: otel-swarm and a SigNoz dashboard pack
New tracing system · for devops engineers
devtoSteadyai46d ago - 47
DevGuard AI: A Self-Observing Multi-Agent Security Pipeline Built on SigNoz
AI security pipeline · for security engineers
devtoSteadysecurity46d ago - 57
We instrumented an AI agent swarm with SigNoz, and its own telemetry told us we were wrong about almost everything
ai agent swarm insights · for ai researchers
devtoSteadyai47d ago