Real Time Performance Monitoring: netdata

ID N0WHERE:76525
Type n0where
Reporter N0where
Modified 2016-12-12T12:51:50


Real Time Performance Monitoring

Netdata is a daemon that collects data in realtime (per second) and presents a web site to view and analyze them. The presentation is also real-time and full of interactive charts that precisely render all collected values. netdata is the fastest way to visualize metrics. It is a resource efficient, highly optimized system for collecting and visualizing any type of realtime timeseries data, from CPU usage, disk activity, SQL queries, API calls, web site visitors, etc. netdata tries to visualize the truth of now, in its greatest detail, so that you can get insights of what is happening now and what just happened, on your systems and applications.

It has been designed to be installed on every system , without disrupting the applications running on it:

  1. It will just use some spare CPU cycles.
  2. It will use the memory you want it have.
  3. Once started and while running, it does not use any disk I/O, apart its logging. Of course it saves its DB to disk when it exits and loads it back when it starts.

You can use it to monitor all your systems and applications. It will run on Linux PCs, servers or embedded devices. To make a chart in netdata, you just need a number. Just a number you can read somehow. netdata will turn this number to a real time, interactive, web chart. For collecting these numbers, it supports external plugins, even shell or node.js plugins. Any computer program, in any language, that can print a few lines of text on its standard output, can be a netdata data collector. netdata can embed charts everywhere.

Out of the box, it comes with plugins that collect key system metrics and metrics of popular applications.


netdata is a highly optimized Linux daemon providing real-time performance monitoring for Linux systems, Applications, SNMP devices, over the web! It tries to visualize the truth of now , in its greatest detail , so that you can get insights of what is happening now and what just happened, on your systems and applications.

This is what you get:

  • 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 or RAM and no disk I/O at all
  • Sophisticated alarming
    supports dynamic thresholds, hysteresis, alarm templates, multiple role-based notification methods (such as email,,,,
  • 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
  • back-ends supported
    can archive its metrics on graphite or opentsdb , in the same or lower detail (lower: to prevent it from congesting these servers due to the amount of data collected)

Real Time Performance Monitoring: netdata demo

What does it monitor?

This is what it currently monitors (most with zero configuration):

  • CPU
    usage, interrupts, softirqs, frequency, total and per core
  • Memory
    RAM, swap and kernel memory usage, including KSM the kernel memory deduper
  • Disks
    per disk: I/O, operations, backlog, utilization, space
  • Network interfaces
    per interface: bandwidth, packets, errors, drops
  • IPv4 networking
    bandwidth, packets, errors, fragments, tcp: connections, packets, errors, handshake, udp: packets, errors, broadcast: bandwidth, packets, multicast: bandwidth, packets
  • IPv6 networking
    bandwidth, packets, errors, fragments, ECT, udp: packets, errors, udplite: packets, errors, broadcast: bandwidth, multicast: bandwidth, packets, icmp: messages, errors, echos, router, neighbor, MLDv2, group membership, break down by type
  • Interprocess Communication – IPC
    such as semaphores and semaphores arrays
  • netfilter / iptables Linux firewall
    connections, connection tracker events, errors
  • Linux DDoS protection
    SYNPROXY metrics
  • fping latencies
    for any number of hosts, showing latency, packets and packet loss
  • Processes
    running, blocked, forks, active
  • Entropy
    random numbers pool, using in cryptography
  • NFS file servers and clients
    NFS v2, v3, v4: I/O, cache, read ahead, RPC calls
  • Network QoS
    the only tool that visualizes network tc classes in realtime
  • Linux Control Groups
    containers: systemd, lxc, docker
  • Applications
    by grouping the process tree and reporting CPU, memory, disk reads, disk writes, swap, threads, pipes, sockets – per group
  • Users and User Groups resource usage
    by summarizing the process tree per user and group, reporting: CPU, memory, disk reads, disk writes, swap, threads, pipes, sockets
  • Apache and lighttpd web servers
    mod-status (v2.2, v2.4) and cache log statistics, for multiple servers
  • Nginx web servers
    stub-status , for multiple servers
  • Tomcat
    accesses, threads, free memory, volume
  • mySQL databases
    multiple servers, each showing: bandwidth, queries/s, handlers, locks, issues, tmp operations, connections, binlog metrics, threads, innodb metrics, and more
  • Postgres databases
    multiple servers, each showing: per database statistics (connections, tuples read – written – returned, transactions, locks), backend processes, indexes, tables, write ahead, background writer and more
  • Redis databases
    multiple servers, each showing: operations, hit rate, memory, keys, clients, slaves
  • memcached databases
    multiple servers, each showing: bandwidth, connections, items
  • ISC Bind name servers
    multiple servers, each showing: clients, requests, queries, updates, failures and several per view metrics
  • Postfix email servers
    message queue (entries, size)
  • exim email servers
    message queue (emails queued)
  • Dovecot POP3/IMAP servers
  • IPFS
    bandwidth, peers
  • Squid proxy servers
    multiple servers, each showing: clients bandwidth and requests, servers bandwidth and requests
  • Hardware sensors
    temperature, voltage, fans, power, humidity
  • NUT and APC UPSes
    load, charge, battery voltage, temperature, utility metrics, output metrics
    multiple instances, each reporting connections, requests, performance
  • hddtemp
    disk temperatures
  • SNMP devices
    can be monitored too (although you will need to configure these)

And you can extend it, by writing plugins that collect data from any source, using any computer language.

Why another monitoring tool?

The key goal of netdata is to help you achieve operational excellence. To achieve that, it focuses on real-time visualization of what is happening on your systems or applications now and in the recent past. netdata tries to visualize the truth of now, in its greatest detail, with detail comparable to the console tools! So, netdata is: non disruptive, real-time performance monitoring and visualization, in the greatest possible detail.

Real Time Performance Monitoring: netdata Wiki


Use our automatic installer to build and install it on your system.

It should run on any Linux system (including IoT). It has been tested on:

  • Alpine
  • Arch Linux
  • CentOS
  • Debian
  • Fedora
  • Gentoo
  • openSUSE
  • PLD Linux
  • RedHat Enterprise Linux
  • SUSE
  • Ubuntu

Real Time Performance Monitoring: netdata download