Signoz
SigNoz is an open-source Observability Platform (OP) (observability) that provides metrics, traces, and logs collection, storage, and analysis for distributed applications.
- Distributed tracing, metrics, and log management in a single platform (observability)
- Native support for OpenTelemetry-based instrumentation and ingestion (telemetry standards)
- Querying and visualization with dashboards, charts, and trace views (monitoring and analytics)
- Alerting on application and infrastructure signals with notification integrations (IT operations)
- Self-hosted deployment options for Kubernetes and other environments (infrastructure management)
More About Signoz
SigNoz is an open-source OP (observability) built to collect, store, and analyze application telemetry data, including traces, metrics, and logs. It addresses monitoring and troubleshooting needs for microservices-based and cloud-native systems where distributed components introduce latency, reliability, and debugging challenges. By consolidating signals into one system, it enables teams to understand service health, request flows, and performance characteristics across their infrastructure.
The platform uses OpenTelemetry (OTel) (telemetry standards) as its primary data collection mechanism. Applications instrumented with OTel SDKs or auto-instrumentation agents can send traces, metrics, and logs to SigNoz through the OpenTelemetry Collector (OTC). This approach lets organizations standardize telemetry pipelines and avoid vendor-specific agents. SigNoz supports spans, services, and operations views for distributed tracing, along with metrics such as latency, throughput, and error rates for application and infrastructure monitoring.
SigNoz provides querying, visualization, and dashboard capabilities (monitoring and analytics) through a web UI. Users can build dashboards from application and infrastructure metrics, inspect traces to see end-to-end request paths, and correlate logs with traces to diagnose issues. The trace view helps identify slow services, database calls, or external dependencies, while charts and tables support time-series analysis and aggregations. The query layer enables filtering by service, endpoint, status code, or custom attributes captured in telemetry data.
For operations workflows, SigNoz includes alerting features (IT operations). Teams can define alert rules on metrics or other telemetry signals, such as error rate thresholds, latency percentiles, or resource usage patterns. Alerts can be routed to supported notification channels, enabling incident response and on-call processes. This supports use cases such as Service Level Objective (SLO) monitoring, production incident triage, and capacity-related checks in enterprise environments.
Deployment options focus on self-hosting (infrastructure management). SigNoz can be deployed on Kubernetes clusters or other compute environments using container-based artifacts and configuration provided by the project. Storage backends and configuration parameters are documented so platform and Site Reliability Engineering (SRE) teams can integrate SigNoz into existing infrastructure stacks. This model gives organizations control over data residency and cluster sizing for telemetry workloads.
From a technical categorization perspective, SigNoz sits in the observability and application performance monitoring domain (observability, Application Performance Management (APM)). It interoperates with the OTel ecosystem, supports microservices and cloud-native architectures, and provides a unified interface for metrics, traces, and logs. Enterprises use it to monitor distributed applications, troubleshoot performance issues, and maintain visibility into production systems while retaining control over their observability stack.