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netdata 

New to netdata? Here is a live demo: http://my-netdata.io

netdata is a system for distributed real-time performance and health monitoring. It provides unparalleled insights, in real-time, of everything happening on the system it runs (including applications such as web and database servers), using modern interactive web dashboards.

netdata is fast and efficient, designed to permanently run on all systems (physical & virtual servers, containers, IoT devices), without disrupting their core function.

netdata runs on Linux, FreeBSD, and MacOS.


News

Netdata is featured at GitHub's State Of The Octoverse 2016


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Mar 20th, 2017 - netdata v1.6.0 released!


Features

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  • Stunning interactive bootstrap dashboards
    mouse and touch friendly, in 2 themes: dark, light

  • Amazingly fast
    responds to all queries in less than 0.5 ms per metric, even on low-end hardware

  • Highly efficient
    collects thousands of metrics per server per second, with just 1% CPU utilization of a single core, a few MB of RAM and no disk I/O at all

  • Sophisticated alarming
    hundreds of alarms, out of the box!
    supports dynamic thresholds, hysteresis, alarm templates, multiple role-based notification methods (such as email, slack.com, pushover.net, pushbullet.com, telegram.org, twilio.com, messagebird.com)

  • Extensible
    you can monitor anything you can get a metric for, using its Plugin API (anything can be a netdata plugin, BASH, python, perl, node.js, java, Go, ruby, etc)

  • Embeddable
    it can run anywhere a Linux kernel runs (even IoT) and its charts can be embedded on your web pages too

  • Customizable
    custom dashboards can be built using simple HTML (no javascript necessary)

  • Zero configuration
    auto-detects everything, it can collect up to 5000 metrics per server out of the box

  • Zero dependencies
    it is even its own web server, for its static web files and its web API

  • Zero maintenance
    you just run it, it does the rest

  • scales to infinity
    requiring minimal central resources

  • several operating modes
    autonomous host monitoring, headless data collector, forwarding proxy, store and forward proxy, central multi-host monitoring, in all possible configurations. Each node may have different metrics retention policy and run with or without health monitoring.

  • time-series back-ends supported
    can archive its metrics on graphite, opentsdb, prometheus, json document DBs, in the same or lower detail (lower: to prevent it from congesting these servers due to the amount of data collected)

 

netdata

 

Sursa: https://github.com/firehol/netdata/

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