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SigNoz

open-sourceopen sourcetelemetry concernsupdated Jul 9, 2026
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SigNoz is an OpenTelemetry-native observability platform for collecting and correlating logs, metrics, and traces. Teams can self-host it or use SigNoz Cloud, with dashboards, alerting, query workflows, and enterprise controls for cloud-native and AI application telemetry.

SigNoz is an OpenTelemetry-native observability platform that brings logs, metrics, and traces into one workflow for investigation, dashboards, alerting, and service-level debugging. It can be deployed as a self-hosted system or used through SigNoz Cloud, making it relevant to teams that want a unified telemetry layer without assembling separate log, metric, and tracing products.

The open-source position needs a precise boundary. SigNoz maintainers describe the non-ee portion of the repository as MIT Expat, while the ee directory is under the SigNoz Enterprise license; GitHub reports the repository license as Other or NOASSERTION. Buyers that need advanced governance, fine-grained access control, or enterprise support should validate the Cloud and Enterprise feature boundary rather than assuming every capability is available in a free self-hosted deployment.

Pricing spans self-hosting and hosted usage. Official SigNoz pricing lists a Teams entry from $49 per month, telemetry ingestion prices that vary by signal, and custom Enterprise options. That makes SigNoz a strong fit for teams evaluating OpenTelemetry coverage and deployment control, provided they model retention, ingestion volume, and the enterprise feature boundary before committing.

Pricing

Open-source self-hosted observability platform with paid Cloud and Enterprise options. Official pricing lists Teams from $49/month; telemetry usage and Enterprise terms vary by plan.

Platforms

Self-hosted on Docker and Kubernetes, with SigNoz Cloud and OpenTelemetry-based logs, metrics, and traces.

Categories

AI Monitoring & Observability

Tags

Open SourceMonitoringObservabilitySelf-HostedMetrics

Use Cases

DevOps AutomationAI-Powered Debugging

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