netdata

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

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

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

User base

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

in the last 24 hours:

News

Oct 4th, 2016 - netdata v1.4.0 released!

the fastest netdata ever (with a better look too)!
improved IoT and containers support!
alarms improved in almost every way!
new plugins: softnet netdev, extended TCP metrics, UDPLite, NFS v2, v3 client (server was there already), NFS v4 server & client, APCUPSd, RetroShare
improved plugins: mysql, cgroups, hddtemp, sensors, phpfm, tc (QoS)

Features

Stunning interactive bootstrap dashboards
2 themes are provided: dark, light
Blazingly fast visualization
responds to all queries in less than 0.5 ms per metric, even on low-end hardware
Highly efficient data collection
collects thousands of metrics per server per second, with just 1% CPU utilization of a single core on modern hardware
Sophisticated alarming
supports dynamic thresholds, hysteresis, templating, multiple notification methods
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, etc)
Zero configuration
auto-detects everything, out of the box it can collect up to 5000 metrics per server
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
Embeddable
it can run anywhere a Linux kernel runs (even IoT) and its charts can be embedded on your web pages too
Custom dashboards
that can be built using simple HTML (no javascript necessary)
scales to infinity
requiring minimal central resources!

What does it monitor?

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

CPU usage, interrupts, softirqs and frequency (total and per core)
RAM, swap and kernel memory usage (including KSM and kernel memory deduper)
Disks (per disk: I/O, operations, backlog, utilization, space, etc)
Network interfaces (per interface: bandwidth, packets, errors, drops, etc)
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)
netfilter / iptables Linux firewall (connections, connection tracker events, errors, etc)
Linux DDoS protection (SYNPROXY metrics)
Processes (running, blocked, forks, active, etc)
Entropy (random numbers pool, using in cryptography)
NFS file servers and clients, v2, v3, v4 (I/O, cache, read ahead, RPC calls)
Network QoS (yes, the only tool that visualizes network tc classes in realtime)
Linux Control Groups (containers), systemd, lxc, docker, etc
Applications, by grouping the process tree (CPU, memory, disk reads, disk writes, swap, threads, pipes, sockets, etc)
Users and User Groups resource usage, by summarizing the process tree per user and group (CPU, memory, disk reads, disk writes, swap, threads, pipes, sockets, etc)
Apache web servers mod-status (v2.2, v2.4) and cache log statistics (multiple servers - compatible with lighttpd too)
Nginx web servers stub-status (multiple servers)
mySQL databases (multiple servers, each showing: bandwidth, queries/s, handlers, locks, issues, tmp operations, connections, binlog metrics, threads, innodb metrics, etc)
Redis databases (multiple servers, each showing: operations, hit rate, memory, keys, clients, slaves)
memcached databases (multiple servers, each showing: bandwidth, connections, items, etc)
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)
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, etc)
NUT and APC UPSes (load, charge, battery voltage, temperature, utility metrics, output metrics)
Tomcat (accesses, threads, free memory, volume)
PHP-FPM (multiple instances, each reporting connections, requests, performance)
hddtemp (disk temperatures)
SNMP devices can be monitored too (although you will need to configure these)