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.

User base

Since May 16th 2016 (the date the global public netdata registry was released):

in the last 24 hours:

News

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

Jul 16th, 2017 - netdata v1.7.0 released!

netdata is now a fully featured statsd server - read more here
netdata now monitors ZFS of Linux and FreeBSD
netdata now monitors ElasticSearch
netdata now monitors RabbitMQ
netdata now monitors Go applications (via expvar) - read more here
netdata now monitors squid logs
netdata now monitors samba
several backends improvements and enhancements, including metrics filtering
prometheus backend support has been rewritten
alarm notifications now support custom hooks to execute shell commands in parallel with all other notification methods
dozens of new and improved plugins
dozens of new and improved alarms
dozens more improvements and performance optimizations

Features

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)

What does it monitor?

netdata collects several thousands of metrics per device. All these metrics are collected and visualized in real-time.

Almost all metrics are auto-detected, without any configuration.

This is a list of what it currently monitors:

CPU
usage, interrupts, softirqs, frequency, total and per core, CPU states
Memory
RAM, swap and kernel memory usage, KSM (Kernel Samepage Merging), NUMA
Disks
per disk: I/O, operations, backlog, utilization, space, software RAID (md)
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
web server log files
extracting in real-time, web server performance metrics and applying several health checks
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
mongodb
operations, clients, transactions, cursors, connections, asserts, locks, etc
memcached databases
multiple servers, each showing: bandwidth, connections, items
elasticsearch
search and index performance, latency, timings, cluster statistics, threads statistics, etc
ISC Bind name servers
multiple servers, each showing: clients, requests, queries, updates, failures and several per view metrics
NSD name servers
queries, zones, protocols, query types, transfers, etc.
Postfix email servers
message queue (entries, size)
exim email servers
message queue (emails queued)
Dovecot POP3/IMAP servers
ISC dhcpd
pools utilization, leases, etc.
IPFS
bandwidth, peers
Squid proxy servers
multiple servers, each showing: clients bandwidth and requests, servers bandwidth and requests
HAproxy
bandwidth, sessions, backends, etc
varnish
threads, sessions, hits, objects, backends, etc
OpenVPN
status per tunnel
Hardware sensors
lm_sensors and IPMI: temperature, voltage, fans, power, humidity
NUT and APC UPSes
load, charge, battery voltage, temperature, utility metrics, output metrics
PHP-FPM
multiple instances, each reporting connections, requests, performance
hddtemp
disk temperatures
smartd
disk S.M.A.R.T. values
SNMP devices
can be monitored too (although you will need to configure these)
statsd
netdata is a fully featured statsd server