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NetData

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.

Install Piwigo with YunoHost

Customization brought by the package:

  • grant MySQL statistics access via a netdata user
  • nginx root log statistics via putting netdata user in the adm group
  • Dovecot statistics via giving access to Dovecot stats stocket to netdata user (works only with Dovecot 2.2.16+)

Further recommendations: We don't allow YunoHost packages to make sensible changes to system files. So here are further customizations you can make to allow more monitoring:

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)

netdata

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)

    sda

  • Network interfaces
    per interface: bandwidth, packets, errors, drops

    dsl0

  • 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

    image

  • 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

    qos-tc-classes

  • 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

    apps

  • 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

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

Links