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.
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.
- 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.