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Netdata

Monitoring, troubleshooting, and collaboration in one place with thousands of per-second metrics, meaningful visualizations, and insightful health alarms without configuration.

Made by Costa Tsaousis

  • visualization

  • statsd

  • Alarms

  • monitoring-software

  • aws-monitoring

  • gnu

  • saas-monitoring

  • DevOps

  • graphing

  • ipmi-monitoring

  • Enterprise

  • containers-monitoring

  • Web Analytics

  • Api

  • web-server-monitoring

  • Alerts

  • Network Monitor

  • virtualization-monitoring

  • apm

What is Netdata?

Netdata is an open-source, real-time monitoring solution that provides comprehensive visibility into the full technology stack, from physical or virtual servers to containers and IoT devices. With its distributed data architecture, Netdata collects console-level, per-second data and presents it in human-friendly metrics optimized for visual anomaly detection, enabling IT teams to quickly identify and troubleshoot issues, collaborate to solve problems, and make data-driven decisions to move the business forward

Highlights

  • Collects metrics from over 800 integrations, including operating system metrics, container metrics, virtual machines, hardware sensors, application metrics, OpenMetrics exporters, StatsD, and logs
  • Provides real-time, low-latency, high-resolution monitoring with data collected per second and immediately displayed on the dashboard
  • Includes unsupervised anomaly detection that trains multiple machine-learning models for each metric and detects anomalies based on past behavior
  • Offers powerful visualization capabilities that allow users to quickly understand datasets and filter, slice, and dice the data directly on the dashboard
  • Comes with hundreds of out-of-the-box alerts to detect common issues and pitfalls, with support for various notification methods
  • Provides a systemd journal logs explorer to view, filter, and analyze system and application logs
  • Designed to be fully automated, with features like automated dashboards, out-of-the-box alerts, auto-detection and auto-discovery of metrics, zero-touch machine-learning, easy scalability and high availability, and CI/CD friendliness
  • Modular and extensible, with the ability to integrate with other monitoring solutions

Platforms

  • Desktop Linux
  • Desktop Mac
  • Web
  • Online
  • Mobile iPhone
  • Python
  • Mac
  • On-Premise Windows
  • BSD
  • Desktop Chromebook
  • Bash
  • Linux
  • On-Premise Linux
  • Desktop Windows
  • Self-Hosted
  • JavaScript
  • C (programming language)
  • Mobile iPad
  • Node.JS
  • Mobile Android
  • Cloud, SaaS, Web-based

Languages

  • English

Features

    • Kubernetes

    • Time Series

    • Real-time Statistics

    • Metrics

    • Standalone

    • Container monitoring

    • Charts

    • Server Monitoring

    • Traffic Monitoring

    • Support for Docker

    • Performance Monitoring

    • Cloud Monitoring

    • Data visualization

    • Database Monitoring

    • Website Monitoring

    • Hardware Monitoring

    • Real-time monitoring

    • Kubernetes Monitoring