SigNoz is an open-source observability platform built natively on OpenTelemetry that consolidates logs, traces, metrics, alerts, and dashboards into a single application. It positions itself as an open-source alternative to commercial platforms like DataDog and NewRelic, offering both cloud-hosted and self-hosted deployment options. The platform is written primarily in TypeScript and serves as a comprehensive Application Performance Monitoring and observability tool for teams debugging production issues.
SigNoz provides comprehensive monitoring capabilities across multiple observability domains. The APM overview tracks service latency, error rates, throughput, Apdex scores, top endpoints, database calls, and external calls. Log management features include ingestion, search, aggregation, and correlation with traces and metrics through a visual query builder. The metrics and dashboards functionality allows users to build custom dashboards using Query Builder, PromQL, or ClickHouse SQL. Infrastructure monitoring covers Kubernetes clusters, pods, nodes, workloads, and host-level metrics including CPU, memory, disk, and network data. The platform also includes specialized observability for LLM and AI applications, tracing LLM apps, RAG pipelines, prompts, tool calls, tokens, latency, and costs. Distributed tracing capabilities provide flamegraphs, waterfalls, span events, and trace analytics, while trace funnels help teams understand request-flow drop-offs and failed transitions.
The platform offers three deployment models: SigNoz Cloud with a 30-day free trial and usage-based pricing starting at $49, Enterprise options including BYOC and self-hosted variants with compliance and custom features, and Community self-hosted deployment for teams wanting full data plane control. The architecture uses a single columnar database designed for high-cardinality, high-volume observability workloads, which the project claims requires 50% lower resource requirements compared to Elastic during ingestion based on their benchmarking studies.
The project emphasizes OpenTelemetry-native instrumentation, correlated signals across monitoring domains, predictable pricing without per-host or per-user seat charges, and enterprise readiness with SOC 2 Type II and HIPAA compliance options. The contribution guidelines are documented in CONTRIBUTING.md, and the project maintains an active Slack community for contributor support.
