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Signoz

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Updated: 23 May 2025
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SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. . Open source Application Performance Monitoring (APM) & Observability tool

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Overview:

SigNoz is a monitoring tool designed for developers to keep a check on their deployed applications efficiently. It offers a unified platform to visualize metrics, traces, and logs, helping users identify and troubleshoot issues effectively.

Features:

  • Unified UI: Visualize Metrics, Traces, and Logs in one interface.
  • Root Cause Analysis: Identify problems by delving into exact traces causing issues with detailed flamegraphs.
  • Aggregates and Metrics: Run aggregates on trace data to derive business-relevant metrics.
  • Logging Capabilities: Filter and query logs easily, create dashboards, and set alerts based on log attributes.
  • Exception Monitoring: Automatically record exceptions in Python, Java, Ruby, and Javascript.
  • Alerting: Easy setup of alerts with a DIY query builder.
  • Language Support: Supports multiple languages through OpenTelemetry like Java, Python, Node.js, Go, PHP, .NET, Ruby, Elixir, and Rust.

Installation:

To deploy SigNoz using Docker, follow these steps:

  1. Clone the SigNoz repository: git clone <repository_url>
  2. Navigate to the SigNoz directory: cd <directory_name>
  3. Run the Docker compose command to initiate the installation: docker-compose up -d

Summary:

SigNoz is a developer-focused monitoring tool that offers a comprehensive solution for visualizing metrics, traces, and logs in a single interface. With its diverse range of features such as root cause analysis, logging capabilities, exception monitoring, and language support, SigNoz aims to provide users with a holistic monitoring experience while ensuring control over configurations and data privacy. Deploying SigNoz using Docker is a straightforward process, allowing developers to quickly set up the monitoring tool for their applications.