SigNoz
Open-source observability and APM platform for engineering teams.
Available information varies by company and source.
Profile record updated:
Company facts
- Entity type
- COMPANY
- Market role
- B2B SaaS Provider
- Official website
- signoz.io
What SigNoz does
SigNoz uses an open-core software model. It distributes a free self-hosted community product to build adoption among developers and infrastructure teams, then converts that usage into paid recurring revenue through managed cloud subscriptions and enterprise-managed deployments. Value is created by reducing observability cost and lock-in, unifying telemetry workflows, and supporting both cloud-hosted and customer-hosted operating models.
Category differentiation
SigNoz is an observability and APM software platform, not a general cloud infrastructure provider or a foundational AI model company. It competes with monitoring vendors such as Datadog and New Relic rather than with general-purpose developer tools alone.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
SigNoz is a private B2B software company that provides an open-source, OpenTelemetry-native observability platform for engineering, SRE and platform teams. Its core product unifies logs, metrics, traces, dashboards and alerting for application performance monitoring and troubleshooting. The company sells the platform in multiple commercial forms, including a fully managed cloud service and managed enterprise deployments within customer infrastructure. The business runs an open-core model. The free Community Edition drives adoption among developers, while SigNoz monetises through usage-based pricing on telemetry ingestion, enterprise-managed deployments, premium support and related services. Its paying customers are startups, enterprises and regulated organisations that need observability without per-seat or per-host pricing and want either hosted convenience or data control in self-managed environments.
Company news briefing
Briefing updated:
SigNoz is solidifying its AI observability footprint through the "Agents of SigNoz" hackathon, which recently showcased advanced implementations for RAG quality monitoring, multi-agent coordination, and LLM-specific FinOps pipelines. These developments highlight the platform’s capacity to track GPU telemetry and token-level costs whilst managing automated failover diagnostics. Furthermore, technical updates regarding ClickHouse v25 integration and service version comparison tools reinforce SigNoz’s utility for developers managing both sophisticated AI-driven workflows and traditional self-hosted infrastructure.
Business model & monetisation
SigNoz monetises through a hybrid open-core and usage-based SaaS model. The Community Edition is free and self-hosted. Revenue comes primarily from SigNoz Cloud, which is priced on telemetry ingestion volume rather than seats or hosts, and from enterprise-managed deployments operated inside customer infrastructure. Additional monetisation comes from premium support, managed operations and professional services tied to enterprise adoption.
- SigNoz Cloud
- Usage-based SaaS subscription
- Managed on-prem enterprise deployments
- Service Fee
- Enterprise support and premium support plans
- Service Fee
- Professional services and implementation support
- Service Fee
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Media Channel
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
Deploying SigNoz with ClickHouse v25 and OTel Gotchas
Application Performance Monitoring · Recorded impact score: 1/5
A developer describes troubleshooting and deployment patterns for self-hosting SigNoz in 2026, focusing on ClickHouse v25 configuration changes, OpenTelemetry Collector incompatibilities, and Docker network isolation. Key recommendations include using config.d/users.d for ClickHouse overrides (instead of replacing the main config), enforcing a deterministic docker-compose boot sequence with one-shot migrator containers (signoz_init_clickhouse and signoz_telemetrystore_migrator), updating exporter names and image tags for the OTel collector (use signozclickhousemetrics and include the 'v' prefix), and relying on internal Docker network isolation rather than per-component passwords to simplify connectivity. The post emphasizes that maintaining self-hosted observability infrastructure requires ongoing engineering effort.
- Author self-hosted SigNoz for Verne Software to control telemetry data.
- ClickHouse v25+ changes require using config.d/ and users.d/ for overrides instead of replacing the main config file.
SigNoz Hackathon: AI Agent with Failover and Diagnostics
Application Performance Monitoring (APM) · Recorded impact score: 1/5
A developer published a DEV.to post describing a hackathon project that implements an AI agent system which automatically fails over to a backup model when the primary model fails. The implementation sends observability data to SigNoz to track requests, monitor performance, and detect failures. The author also created a diagnostic agent that reads the monitoring data and explains failure reasons in plain language. During testing the system detected a real AI provider outage and automatically identified the root cause. The post was published on DEV on 2026-07-26.
- Author built an AI agent system that automatically switches to a backup AI model if the main one fails.
- All steps of the agent system were connected to SigNoz to track requests, monitor performance, and detect failures.
Instrumenting MERN E‑Commerce with SigNoz
Application Performance Monitoring (APM) · Recorded impact score: 2/5
A developer case study describing how the author instrumented a MERN-stack e-commerce application called Ram Store with SigNoz and OpenTelemetry during the Agents of SigNoz Hackathon 2026. The project used a self-hosted SigNoz instance (Docker) and the OpenTelemetry Node SDK with automatic instrumentation for Express, HTTP, and MongoDB, exporting via OTLP gRPC. The instrumentation enabled distributed traces, runtime metrics, and structured logs (Winston) correlated inside SigNoz. The post covers setup steps, observed telemetry (traces, metrics, logs), challenges (Docker networking, configuration), lessons learned, and planned improvements like custom dashboards and alerting. Project source code and a demo video are linked.
- Author integrated SigNoz into a MERN e-commerce application named Ram Store as part of the Agents of SigNoz Hackathon 2026.
- SigNoz was self-hosted locally using Docker to provide observability dashboards.
Observable AI Market-Research Agent Built with SigNoz
Application Performance Monitoring (APM) · Recorded impact score: 2/5
A Dev.to post (Jul 26, 2026) by Tanmay Kumar Pradhan describes an AI market-research agent instrumented for observability using OpenTelemetry and SigNoz. The implementation uses an openinference instrumentation package for Google ADK to capture distributed traces, token usage and latency (including Gemini 2.0 Flash generation), and error tracking. The article includes step-by-step local run instructions (SigNoz running, pip install, OTLP endpoint export, setting GOOGLE_API_KEY, and running via the ADK CLI) and frames the project as a SigNoz hackathon submission and demo for observable AI agents.
- Tanmay Kumar Pradhan published a Dev.to article on 2026-07-26 titled "Building an Observable AI Market Research Agent with SigNoz".
- The agent is instrumented with OpenTelemetry to export telemetry data to SigNoz for observability.
Observability Reveals Why Sites 'Go Down'
Application Performance Monitoring (APM) · Recorded impact score: 2/5
The author built a fake exam-results site as a hackathon project to intentionally inject outages and observe them with the open-source observability tool SigNoz. By triggering four failure modes—database latency, cache (Redis) failure, a bad deploy that throws 500s, and traffic spikes—the author demonstrates that “server down” is not a single failure but distinct fingerprints visible in traces and metrics (fat slow spans, flatlined cache-hit rates, error-rate cliffs, rising RPS with latency). The project includes a Mission Control panel with toggles to inject incidents and a load generator, plus instructions to install SigNoz via a Foundry installer. The piece argues that pre-wired telemetry and alerts produce fast, specific diagnoses during incidents rather than vague “try later” responses.
- The author created a fake exam-results portal to simulate production incidents during a hackathon.
- The observability tool SigNoz was used to record traces, spans, and metrics while injecting failures.
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Questions about SigNoz
What is SigNoz?
SigNoz is an open-source observability and APM platform that unifies logs, metrics, traces, dashboards and alerting for engineering teams.
Who uses SigNoz?
Platform engineers, SREs, developers, DevOps teams and enterprises use SigNoz for application monitoring, troubleshooting and operational visibility.
How does SigNoz make money?
SigNoz makes money from usage-based cloud subscriptions, managed enterprise deployments, support plans and related professional services.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
16 publicly documented primary sources and citations linked across the market graph.
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