Netdata is a designed to collect data in real time (per second) and presents a web site to view and examine them. The arrangement of data is real-time and full of interactive charts that precisely deliver all collected values. Netdata is the best ever way to visualize metrics. It is a resource proficient, highly optimized system for collecting and visualizing any type of real time data, from CPU usage, disk activity, SQL queries, API calls, web site visitors, etc. Netdata tries to visualize the truth of now, in its utmost detail, so that you can acquire insights of what is happening now and what just happened, on your systems and applications.

You can use it to monitor and analyze all your systems and applications. It runs on Linux PCs, servers or embedded devices. To make a chart in Netdata, you just need a number. Netdata will turn this number to a real time, interactive, web chart.

Features:

Netdata is a extremely optimized Linux daemon providing real-time performance monitoring for Linux systems, Applications, SNMP devices, over the web.  It aims to visualize the utmost details of your system and application.

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, slack.com, pushover.net, pushbullet.com telegram.org, twilio.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.
• 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).

What does it monitor?

• 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
• 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)

To download this amazing tool “Netdata”, click here.

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