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signoz

Ingest traces, metrics, and logs into SigNoz for unified observability.

207|31|Updated Mar 14, 2026
Search Tags:#dashboards#logs#observability#tracing#alerts#opentelemetry#signoz
One-click install
npx skills add https://github.com/AbsolutelySkilled/AbsolutelySkilled --skill signoz-absolutelyskilled
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: signoz
Source: https://github.com/AbsolutelySkilled/AbsolutelySkilled/tree/main/skills/signoz
Command: npx skills add https://github.com/AbsolutelySkilled/AbsolutelySkilled --skill signoz-absolutelyskilled

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

SigNoz provides a unified observability backend for application monitoring, enabling AI agents to collect and correlate traces, logs, and metrics across distributed systems.

This skill helps instrument code, configure collectors, build dashboards, and set alerts to quickly detect and resolve issues.

Core Features & Use Cases

  • Instrumentation guidance for languages (Node.js, Python, Java, Go) with auto and manual options.
  • Collector configuration guidance for SigNoz Cloud and self-hosted deployments, including OTLP pipelines and resource detection.
  • Observability workflows: create dashboards, queries, alerts, and exception monitoring to drive reliability and incident response.
  • Use Case: instrument a microservice to visualize traces in a unified explorer and set alerts on error rates.

Quick Start

Install the SigNoz skill and start instrumenting your application with OpenTelemetry to begin collecting traces, metrics, and logs.

Frequently Asked Questions about signoz

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I instrument a microservice for OpenTelemetry traces and logs?▼

You instrument a microservice for OpenTelemetry by applying auto or manual instrumentation guidance for languages like Node.js, Python, Java, and Go to collect traces, metrics, and logs.

How do I configure an OpenTelemetry collector for self-hosted observability?▼

Configuring an OpenTelemetry collector for self-hosted observability involves setting up OTLP pipelines and resource detection tailored for your specific SigNoz Cloud or self-hosted deployment environment.

What is the best way to set alerts on error rates in a distributed system?▼

The best way to set alerts on error rates is to configure observability workflows and exception monitoring within SigNoz to detect threshold violations and drive immediate incident response.

Can I build custom dashboards to visualize metrics from multiple languages?▼

Yes, you can build custom dashboards to visualize metrics from multiple languages by creating queries within the unified explorer to correlate traces, metrics, and logs across distributed systems.

Does SigNoz work with both cloud and self-hosted deployments?▼

Yes, SigNoz works with both cloud and self-hosted deployments, providing collector configuration guidance and OTLP pipeline setup to ensure unified observability across different infrastructure environments.

Why do I need a unified observability backend for application monitoring?▼

You need a unified observability backend to correlate traces, logs, and metrics across distributed systems in a single pane, enabling faster issue detection and resolution without switching tools.

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