Who is SigNoz?
SigNoz is an open-source observability platform (observability) that provides application performance monitoring and distributed tracing for cloud-native workloads.
- End-to-end observability for applications and infrastructure using metrics, traces, and logs
- Distributed tracing (observability) for microservices and cloud-native architectures
- Application performance monitoring (APM) (observability) with latency, throughput, and error analysis
- OpenTelemetry-native instrumentation and ingestion (telemetry) for standardized data collection
- Self-hosted and managed deployment options for Kubernetes and cloud environments
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More About SigNoz
SigNoz provides an open-source observability platform (observability) aimed at engineering teams that run microservices, containerized workloads, and cloud-native applications. It combines application performance monitoring, distributed tracing, metrics, and log management in a single interface so teams can correlate telemetry data when debugging and operating production systems. The platform is positioned as an alternative to proprietary application performance monitoring and observability tools, with a deployment and data model based on open standards.
The platform is built around OpenTelemetry (OTel) (telemetry), which is an open standard for generating and exporting telemetry data. SigNoz can ingest metrics, traces, and logs emitted via OTel SDKs, agents, and collectors from services written in multiple programming languages. This OpenTelemetry-native model enables instrumentation without vendor-specific agents and allows enterprises to standardize telemetry pipelines across services, clusters, and environments.
For distributed tracing (observability), SigNoz records requests as they flow across microservices and infrastructure components. It supports concepts such as spans, traces, and context propagation based on OTel specifications. Engineering teams can use trace views to analyze latency, error hotspots, and service dependencies, which is relevant for architectures such as Kubernetes-based deployments, service meshes, and API-first backends. Tracing data can be correlated with metrics such as request rate, error rate, and duration for service-level analysis.
As an application performance monitoring (APM) (observability) solution, SigNoz provides dashboards and charts for monitoring service health, including response times, throughput, and error ratios. Users can define dashboards with time-series metrics, apply filters based on services or environments, and drill into specific endpoints or operations. Log management capabilities allow ingesting logs from applications and infrastructure, querying them with filters, and linking log events to traces for Root Cause Analysis (RCA).
Enterprises can deploy SigNoz in their own infrastructure, including Kubernetes clusters and cloud environments, which supports data locality and control over telemetry storage. The architecture typically includes a collector layer for ingesting telemetry, a storage backend for metrics and traces, and a query and visualization layer accessible through a web UI. The platform is available both as self-hosted software and through managed offerings, which can align with different compliance, governance, and operational models.
Within enterprise technology taxonomies, SigNoz fits into observability and application performance monitoring categories, with particular focus on OpenTelemetry-based data collection. It is used in contexts such as Site Reliability Engineering (SRE) workflows, DevOps monitoring, incident response, and performance tuning for distributed systems. The combination of metrics, traces, and logs in a single system, tied to open standards, positions SigNoz for organizations that want observability tooling integrated with cloud-native and Kubernetes ecosystems while maintaining flexibility over deployment and data ownership.
Our description of SigNoz. Updated January 2026.
