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dashboard_info.js
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// SPDX-License-Identifier: GPL-3.0-or-later
// Codacy declarations
/* global NETDATA */
var netdataDashboard = window.netdataDashboard || {};
// Informational content for the various sections of the GUI (menus, sections, charts, etc.)
// ----------------------------------------------------------------------------
// Menus
netdataDashboard.menu = {
'system': {
title: 'System Overview',
icon: '<i class="fas fa-bookmark"></i>',
info: 'Overview of the key system metrics.'
},
'services': {
title: 'systemd Services',
icon: '<i class="fas fa-cogs"></i>',
info: 'Resources utilization of systemd services. netdata monitors all systemd services via CGROUPS ' +
'(the resources accounting used by containers). '
},
'ap': {
title: 'Access Points',
icon: '<i class="fas fa-wifi"></i>',
info: 'Performance metrics for the access points (i.e. wireless interfaces in AP mode) found on the system.'
},
'tc': {
title: 'Quality of Service',
icon: '<i class="fas fa-globe"></i>',
info: 'Netdata collects and visualizes <code>tc</code> class utilization using its ' +
'<a href="https://github.com/netdata/netdata/blob/master/collectors/tc.plugin/tc-qos-helper.sh.in" target="_blank">tc-helper plugin</a>. ' +
'If you also use <a href="http://firehol.org/#fireqos" target="_blank">FireQOS</a> for setting up QoS, ' +
'netdata automatically collects interface and class names. If your QoS configuration includes overheads ' +
'calculation, the values shown here will include these overheads (the total bandwidth for the same ' +
'interface as reported in the Network Interfaces section, will be lower than the total bandwidth ' +
'reported here). QoS data collection may have a slight time difference compared to the interface ' +
'(QoS data collection uses a BASH script, so a shift in data collection of a few milliseconds ' +
'should be justified).'
},
'net': {
title: 'Network Interfaces',
icon: '<i class="fas fa-sitemap"></i>',
info: 'Performance metrics for network interfaces.'
},
'ip': {
title: 'Networking Stack',
icon: '<i class="fas fa-cloud"></i>',
info: function (os) {
if (os === "linux")
return 'Metrics for the networking stack of the system. These metrics are collected from <code>/proc/net/netstat</code>, apply to both IPv4 and IPv6 traffic and are related to operation of the kernel networking stack.';
else
return 'Metrics for the networking stack of the system.';
}
},
'ipv4': {
title: 'IPv4 Networking',
icon: '<i class="fas fa-cloud"></i>',
info: 'Metrics for the IPv4 stack of the system. ' +
'<a href="https://en.wikipedia.org/wiki/IPv4" target="_blank">Internet Protocol version 4 (IPv4)</a> is ' +
'the fourth version of the Internet Protocol (IP). It is one of the core protocols of standards-based ' +
'internetworking methods in the Internet. IPv4 is a connectionless protocol for use on packet-switched ' +
'networks. It operates on a best effort delivery model, in that it does not guarantee delivery, nor does ' +
'it assure proper sequencing or avoidance of duplicate delivery. These aspects, including data integrity, ' +
'are addressed by an upper layer transport protocol, such as the Transmission Control Protocol (TCP).'
},
'ipv6': {
title: 'IPv6 Networking',
icon: '<i class="fas fa-cloud"></i>',
info: 'Metrics for the IPv6 stack of the system. <a href="https://en.wikipedia.org/wiki/IPv6" target="_blank">Internet Protocol version 6 (IPv6)</a> is the most recent version of the Internet Protocol (IP), the communications protocol that provides an identification and location system for computers on networks and routes traffic across the Internet. IPv6 was developed by the Internet Engineering Task Force (IETF) to deal with the long-anticipated problem of IPv4 address exhaustion. IPv6 is intended to replace IPv4.'
},
'sctp': {
title: 'SCTP Networking',
icon: '<i class="fas fa-cloud"></i>',
info: '<a href="https://en.wikipedia.org/wiki/Stream_Control_Transmission_Protocol" target="_blank">Stream Control Transmission Protocol (SCTP)</a> is a computer network protocol which operates at the transport layer and serves a role similar to the popular protocols TCP and UDP. SCTP provides some of the features of both UDP and TCP: it is message-oriented like UDP and ensures reliable, in-sequence transport of messages with congestion control like TCP. It differs from those protocols by providing multi-homing and redundant paths to increase resilience and reliability.'
},
'ipvs': {
title: 'IP Virtual Server',
icon: '<i class="fas fa-eye"></i>',
info: '<a href="http://www.linuxvirtualserver.org/software/ipvs.html" target="_blank">IPVS (IP Virtual Server)</a> implements transport-layer load balancing inside the Linux kernel, so called Layer-4 switching. IPVS running on a host acts as a load balancer at the front of a cluster of real servers, it can direct requests for TCP/UDP based services to the real servers, and makes services of the real servers to appear as a virtual service on a single IP address.'
},
'netfilter': {
title: 'Firewall (netfilter)',
icon: '<i class="fas fa-shield-alt"></i>',
info: 'Performance metrics of the netfilter components.'
},
'ipfw': {
title: 'Firewall (ipfw)',
icon: '<i class="fas fa-shield-alt"></i>',
info: 'Counters and memory usage for the ipfw rules.'
},
'cpu': {
title: 'CPUs',
icon: '<i class="fas fa-bolt"></i>',
info: 'Detailed information for each CPU of the system. A summary of the system for all CPUs can be found at the <a href="#menu_system">System Overview</a> section.'
},
'mem': {
title: 'Memory',
icon: '<i class="fas fa-microchip"></i>',
info: 'Detailed information about the memory management of the system.'
},
'disk': {
title: 'Disks',
icon: '<i class="fas fa-hdd"></i>',
info: 'Charts with performance information for all the system disks. Special care has been given to present disk performance metrics in a way compatible with <code>iostat -x</code>. netdata by default prevents rendering performance charts for individual partitions and unmounted virtual disks. Disabled charts can still be enabled by configuring the relative settings in the netdata configuration file.'
},
'sensors': {
title: 'Sensors',
icon: '<i class="fas fa-leaf"></i>',
info: 'Readings of the configured system sensors.'
},
'ipmi': {
title: 'IPMI',
icon: '<i class="fas fa-leaf"></i>',
info: 'The Intelligent Platform Management Interface (IPMI) is a set of computer interface specifications for an autonomous computer subsystem that provides management and monitoring capabilities independently of the host system\'s CPU, firmware (BIOS or UEFI) and operating system.'
},
'samba': {
title: 'Samba',
icon: '<i class="fas fa-folder-open"></i>',
info: 'Performance metrics of the Samba file share operations of this system. Samba is a implementation of Windows services, including Windows SMB protocol file shares.'
},
'nfsd': {
title: 'NFS Server',
icon: '<i class="fas fa-folder-open"></i>',
info: 'Performance metrics of the Network File Server. NFS is a distributed file system protocol, allowing a user on a client computer to access files over a network, much like local storage is accessed. NFS, like many other protocols, builds on the Open Network Computing Remote Procedure Call (ONC RPC) system. The NFS is an open standard defined in Request for Comments (RFC).'
},
'nfs': {
title: 'NFS Client',
icon: '<i class="fas fa-folder-open"></i>',
info: 'Performance metrics of the NFS operations of this system, acting as an NFS client.'
},
'zfs': {
title: 'ZFS filesystem',
icon: '<i class="fas fa-folder-open"></i>',
info: 'Performance metrics of the ZFS filesystem. The following charts visualize all metrics reported by <a href="https://github.com/zfsonlinux/zfs/blob/master/cmd/arcstat/arcstat" target="_blank">arcstat.py</a> and <a href="https://github.com/zfsonlinux/zfs/blob/master/cmd/arc_summary/arc_summary3" target="_blank">arc_summary.py</a>.'
},
'btrfs': {
title: 'BTRFS filesystem',
icon: '<i class="fas fa-folder-open"></i>',
info: 'Disk space metrics for the BTRFS filesystem.'
},
'apps': {
title: 'Applications',
icon: '<i class="fas fa-heartbeat"></i>',
info: 'Per application statistics are collected using netdata\'s <code>apps.plugin</code>. This plugin walks through all processes and aggregates statistics for applications of interest, defined in <code>/etc/netdata/apps_groups.conf</code>, which can be edited by running <code>$ /etc/netdata/edit-config apps_groups.conf</code> (the default is <a href="https://github.com/netdata/netdata/blob/master/collectors/apps.plugin/apps_groups.conf" target="_blank">here</a>). The plugin internally builds a process tree (much like <code>ps fax</code> does), and groups processes together (evaluating both child and parent processes) so that the result is always a chart with a predefined set of dimensions (of course, only application groups found running are reported). The reported values are compatible with <code>top</code>, although the netdata plugin counts also the resources of exited children (unlike <code>top</code> which shows only the resources of the currently running processes). So for processes like shell scripts, the reported values include the resources used by the commands these scripts run within each timeframe.',
height: 1.5
},
'users': {
title: 'Users',
icon: '<i class="fas fa-user"></i>',
info: 'Per user statistics are collected using netdata\'s <code>apps.plugin</code>. This plugin walks through all processes and aggregates statistics per user. The reported values are compatible with <code>top</code>, although the netdata plugin counts also the resources of exited children (unlike <code>top</code> which shows only the resources of the currently running processes). So for processes like shell scripts, the reported values include the resources used by the commands these scripts run within each timeframe.',
height: 1.5
},
'groups': {
title: 'User Groups',
icon: '<i class="fas fa-users"></i>',
info: 'Per user group statistics are collected using netdata\'s <code>apps.plugin</code>. This plugin walks through all processes and aggregates statistics per user group. The reported values are compatible with <code>top</code>, although the netdata plugin counts also the resources of exited children (unlike <code>top</code> which shows only the resources of the currently running processes). So for processes like shell scripts, the reported values include the resources used by the commands these scripts run within each timeframe.',
height: 1.5
},
'netdata': {
title: 'Netdata Monitoring',
icon: '<i class="fas fa-chart-bar"></i>',
info: 'Performance metrics for the operation of netdata itself and its plugins.'
},
'example': {
title: 'Example Charts',
info: 'Example charts, demonstrating the external plugin architecture.'
},
'cgroup': {
title: '',
icon: '<i class="fas fa-th"></i>',
info: 'Container resource utilization metrics. Netdata reads this information from <b>cgroups</b> (abbreviated from <b>control groups</b>), a Linux kernel feature that limits and accounts resource usage (CPU, memory, disk I/O, network, etc.) of a collection of processes. <b>cgroups</b> together with <b>namespaces</b> (that offer isolation between processes) provide what we usually call: <b>containers</b>.'
},
'cgqemu': {
title: '',
icon: '<i class="fas fa-th-large"></i>',
info: 'QEMU virtual machine resource utilization metrics. QEMU (short for Quick Emulator) is a free and open-source hosted hypervisor that performs hardware virtualization.'
},
'fping': {
title: 'fping',
icon: '<i class="fas fa-exchange-alt"></i>',
info: 'Network latency statistics, via <b>fping</b>. <b>fping</b> is a program to send ICMP echo probes to network hosts, similar to <code>ping</code>, but much better performing when pinging multiple hosts. fping versions after 3.15 can be directly used as netdata plugins.'
},
'gearman': {
title: 'Gearman',
icon: '<i class="fas fa-tasks"></i>',
info: 'Gearman is a job server that allows you to do work in parallel, to load balance processing, and to call functions between languages.'
},
'ioping': {
title: 'ioping',
icon: '<i class="fas fa-exchange-alt"></i>',
info: 'Disk latency statistics, via <b>ioping</b>. <b>ioping</b> is a program to read/write data probes from/to a disk.'
},
'httpcheck': {
title: 'Http Check',
icon: '<i class="fas fa-heartbeat"></i>',
info: 'Web Service availability and latency monitoring using HTTP checks. This plugin is a specialized version of the port check plugin.'
},
'memcached': {
title: 'memcached',
icon: '<i class="fas fa-database"></i>',
info: 'Performance metrics for <b>memcached</b>. Memcached is a general-purpose distributed memory caching system. It is often used to speed up dynamic database-driven websites by caching data and objects in RAM to reduce the number of times an external data source (such as a database or API) must be read.'
},
'monit': {
title: 'monit',
icon: '<i class="fas fa-database"></i>',
info: 'Statuses of checks in <b>monit</b>. Monit is a utility for managing and monitoring processes, programs, files, directories and filesystems on a Unix system. Monit conducts automatic maintenance and repair and can execute meaningful causal actions in error situations.'
},
'mysql': {
title: 'MySQL',
icon: '<i class="fas fa-database"></i>',
info: 'Performance metrics for <b>mysql</b>, the open-source relational database management system (RDBMS).'
},
'postgres': {
title: 'Postgres',
icon: '<i class="fas fa-database"></i>',
info: 'Performance metrics for <b>PostgresSQL</b>, the object-relational database (ORDBMS).'
},
'redis': {
title: 'Redis',
icon: '<i class="fas fa-database"></i>',
info: 'Performance metrics for <b>redis</b>. Redis (REmote DIctionary Server) is a software project that implements data structure servers. It is open-source, networked, in-memory, and stores keys with optional durability.'
},
'rethinkdbs': {
title: 'RethinkDB',
icon: '<i class="fas fa-database"></i>',
info: 'Performance metrics for <b>rethinkdb</b>. RethinkDB is the first open-source scalable database built for realtime applications'
},
'retroshare': {
title: 'RetroShare',
icon: '<i class="fas fa-share-alt"></i>',
info: 'Performance metrics for <b>RetroShare</b>. RetroShare is open source software for encrypted filesharing, serverless email, instant messaging, online chat, and BBS, based on a friend-to-friend network built on GNU Privacy Guard (GPG).'
},
'riakkv': {
title: 'Riak KV',
icon: '<i class="fas fa-database"></i>',
info: 'Metrics for <b>Riak KV</b>, the distributed key-value store.'
},
'ipfs': {
title: 'IPFS',
icon: '<i class="fas fa-folder-open"></i>',
info: 'Performance metrics for the InterPlanetary File System (IPFS), a content-addressable, peer-to-peer hypermedia distribution protocol.'
},
'phpfpm': {
title: 'PHP-FPM',
icon: '<i class="fas fa-eye"></i>',
info: 'Performance metrics for <b>PHP-FPM</b>, an alternative FastCGI implementation for PHP.'
},
'pihole': {
title: 'Pi-hole',
icon: '<i class="fas fa-ban"></i>',
info: 'Metrics for <a href="https://pi-hole.net/" target="_blank">Pi-hole</a>, a black hole for Internet advertisements.' +
' The metrics returned by Pi-Hole API is all from the last 24 hours.'
},
'portcheck': {
title: 'Port Check',
icon: '<i class="fas fa-heartbeat"></i>',
info: 'Service availability and latency monitoring using port checks.'
},
'postfix': {
title: 'postfix',
icon: '<i class="fas fa-envelope"></i>',
info: undefined
},
'dovecot': {
title: 'Dovecot',
icon: '<i class="fas fa-envelope"></i>',
info: undefined
},
'hddtemp': {
title: 'HDD Temp',
icon: '<i class="fas fa-thermometer-half"></i>',
info: undefined
},
'nginx': {
title: 'nginx',
icon: '<i class="fas fa-eye"></i>',
info: undefined
},
'apache': {
title: 'Apache',
icon: '<i class="fas fa-eye"></i>',
info: undefined
},
'lighttpd': {
title: 'Lighttpd',
icon: '<i class="fas fa-eye"></i>',
info: undefined
},
'web_log': {
title: undefined,
icon: '<i class="fas fa-file-alt"></i>',
info: 'Information extracted from a server log file. <code>web_log</code> plugin incrementally parses the server log file to provide, in real-time, a break down of key server performance metrics. For web servers, an extended log file format may optionally be used (for <code>nginx</code> and <code>apache</code>) offering timing information and bandwidth for both requests and responses. <code>web_log</code> plugin may also be configured to provide a break down of requests per URL pattern (check <a href="https://github.com/netdata/netdata/blob/master/collectors/python.d.plugin/web_log/web_log.conf" target="_blank"><code>/etc/netdata/python.d/web_log.conf</code></a>).'
},
'named': {
title: 'named',
icon: '<i class="fas fa-tag"></i>',
info: undefined
},
'squid': {
title: 'squid',
icon: '<i class="fas fa-exchange-alt"></i>',
info: undefined
},
'nut': {
title: 'UPS',
icon: '<i class="fas fa-battery-half"></i>',
info: undefined
},
'apcupsd': {
title: 'UPS',
icon: '<i class="fas fa-battery-half"></i>',
info: undefined
},
'smawebbox': {
title: 'Solar Power',
icon: '<i class="fas fa-sun"></i>',
info: undefined
},
'fronius': {
title: 'Fronius',
icon: '<i class="fas fa-sun"></i>',
info: undefined
},
'stiebeleltron': {
title: 'Stiebel Eltron',
icon: '<i class="fas fa-thermometer-half"></i>',
info: undefined
},
'snmp': {
title: 'SNMP',
icon: '<i class="fas fa-random"></i>',
info: undefined
},
'go_expvar': {
title: 'Go - expvars',
icon: '<i class="fas fa-eye"></i>',
info: 'Statistics about running Go applications exposed by the <a href="https://golang.org/pkg/expvar/" target="_blank">expvar package</a>.'
},
'chrony': {
icon: '<i class="fas fa-clock"></i>',
info: 'chronyd parameters about the system’s clock performance.'
},
'couchdb': {
icon: '<i class="fas fa-database"></i>',
info: 'Performance metrics for <b><a href="https://couchdb.apache.org/">CouchDB</a></b>, the open-source, JSON document-based database with an HTTP API and multi-master replication.'
},
'beanstalk': {
title: 'Beanstalkd',
icon: '<i class="fas fa-tasks"></i>',
info: 'Provides statistics on the <b><a href="http://kr.github.io/beanstalkd/">beanstalkd</a></b> server and any tubes available on that server using data pulled from beanstalkc'
},
'rabbitmq': {
title: 'RabbitMQ',
icon: '<i class="fas fa-comments"></i>',
info: 'Performance data for the <b><a href="https://www.rabbitmq.com/">RabbitMQ</a></b> open-source message broker.'
},
'ceph': {
title: 'Ceph',
icon: '<i class="fas fa-database"></i>',
info: 'Provides statistics on the <b><a href="http://ceph.com/">ceph</a></b> cluster server, the open-source distributed storage system.'
},
'ntpd': {
title: 'ntpd',
icon: '<i class="fas fa-clock"></i>',
info: 'Provides statistics for the internal variables of the Network Time Protocol daemon <b><a href="http://www.ntp.org/">ntpd</a></b> and optional including the configured peers (if enabled in the module configuration). The module presents the performance metrics as shown by <b><a href="http://doc.ntp.org/current-stable/ntpq.html">ntpq</a></b> (the standard NTP query program) using NTP mode 6 UDP packets to communicate with the NTP server.'
},
'spigotmc': {
title: 'Spigot MC',
icon: '<i class="fas fa-eye"></i>',
info: 'Provides basic performance statistics for the <b><a href="https://www.spigotmc.org/">Spigot Minecraft</a></b> server.'
},
'unbound': {
title: 'Unbound',
icon: '<i class="fas fa-tag"></i>',
info: undefined
},
'boinc': {
title: 'BOINC',
icon: '<i class="fas fa-microchip"></i>',
info: 'Provides task counts for <b><a href="http://boinc.berkeley.edu/">BOINC</a></b> distributed computing clients.'
},
'w1sensor': {
title: '1-Wire Sensors',
icon: '<i class="fas fa-thermometer-half"></i>',
info: 'Data derived from <a href="https://en.wikipedia.org/wiki/1-Wire">1-Wire</a> sensors. Currently temperature sensors are automatically detected.'
},
'logind': {
title: 'Logind',
icon: '<i class="fas fa-user"></i>',
info: undefined
},
'powersupply': {
title: 'Power Supply',
icon: '<i class="fas fa-battery-half"></i>',
info: 'Statistics for the various system power supplies. Data collected from <a href="https://www.kernel.org/doc/Documentation/power/power_supply_class.txt">Linux power supply class</a>.'
},
'xenstat': {
title: 'Xen Node',
icon: '<i class="fas fa-server"></i>',
info: 'General statistics for the Xen node. Data collected using <b>xenstat</b> library</a>.'
},
'xendomain': {
title: '',
icon: '<i class="fas fa-th-large"></i>',
info: 'Xen domain resource utilization metrics. Netdata reads this information using <b>xenstat</b> library which gives access to the resource usage information (CPU, memory, disk I/O, network) for a virtual machine.'
},
'wmi': {
title: 'wmi',
icon: '<i class="fas fa-server"></i>',
info: undefined
},
'perf': {
title: 'Perf Counters',
icon: '<i class="fas fa-tachometer-alt"></i>',
info: 'Performance Monitoring Counters (PMC). Data collected using <b>perf_event_open()</b> system call which utilises Hardware Performance Monitoring Units (PMU).'
},
'vsphere': {
title: 'vSphere',
icon: '<i class="fas fa-server"></i>',
info: 'Performance statistics for ESXI hosts and virtual machines. Data collected from <a href="https://www.vmware.com/products/vcenter-server.html">VMware vCenter Server</a> using <code><a href="https://github.com/vmware/govmomi"> govmomi</a></code> library.'
},
'vcsa': {
title: 'VCSA',
icon: '<i class="fas fa-server"></i>',
info: 'vCenter Server Appliance health statistics. Data collected from <a href="https://vmware.github.io/vsphere-automation-sdk-rest/vsphere/index.html#SVC_com.vmware.appliance.health">Health API</a>.'
},
'zookeeper': {
title: 'Zookeeper',
icon: '<i class="fas fa-database"></i>',
info: 'Provides health statistics for <b><a href="https://zookeeper.apache.org/">Zookeeper</a></b> server. Data collected through the command port using <code><a href="https://zookeeper.apache.org/doc/r3.5.5/zookeeperAdmin.html#sc_zkCommands">mntr</a></code> command.'
},
'hdfs': {
title: 'HDFS',
icon: '<i class="fas fa-folder-open"></i>',
info: 'Provides <b><a href="https://hadoop.apache.org/docs/r3.2.0/hadoop-project-dist/hadoop-hdfs/HdfsDesign.html">Hadoop Distributed File System</a></b> performance statistics. Module collects metrics over <code>Java Management Extensions</code> through the web interface of an <code>HDFS</code> daemon.'
},
'am2320': {
title: 'AM2320 Sensor',
icon: '<i class="fas fa-thermometer-half"></i>',
info: 'Readings from the external AM2320 Sensor.'
},
'scaleio': {
title: 'ScaleIO',
icon: '<i class="fas fa-database"></i>',
info: 'Performance and health statistics for various ScaleIO components. Data collected via VxFlex OS Gateway REST API.'
},
'squidlog': {
title: 'Squid log',
icon: '<i class="fas fa-file-alt"></i>',
info: undefined
},
'cockroachdb': {
title: 'CockroachDB',
icon: '<i class="fas fa-database"></i>',
info: 'Performance and health statistics for various <code>CockroachDB</code> components.'
},
'ebpf': {
title: 'eBPF',
icon: '<i class="fas fa-heartbeat"></i>',
info: 'Monitor system calls, internal functtions, bytes read, bytes written and errors using <code>eBPF</code>.'
},
'vernemq': {
title: 'VerneMQ',
icon: '<i class="fas fa-comments"></i>',
info: 'Performance data for the <b><a href="https://vernemq.com/">VerneMQ</a></b> open-source MQTT broker.'
},
};
// ----------------------------------------------------------------------------
// submenus
// information to be shown, just below each submenu
// information about the submenus
netdataDashboard.submenu = {
'web_log.squid_bandwidth': {
title: 'bandwidth',
info: 'Bandwidth of responses (<code>sent</code>) by squid. This chart may present unusual spikes, since the bandwidth is accounted at the time the log line is saved by the server, even if the time needed to serve it spans across a longer duration. We suggest to use QoS (e.g. <a href="http://firehol.org/#fireqos" target="_blank">FireQOS</a>) for accurate accounting of the server bandwidth.'
},
'web_log.squid_responses': {
title: 'responses',
info: 'Information related to the responses sent by squid.'
},
'web_log.squid_requests': {
title: 'requests',
info: 'Information related to the requests squid has received.'
},
'web_log.squid_hierarchy': {
title: 'hierarchy',
info: 'Performance metrics for the squid hierarchy used to serve the requests.'
},
'web_log.squid_squid_transport': {
title: 'transport'
},
'web_log.squid_squid_cache': {
title: 'cache',
info: 'Performance metrics for the performance of the squid cache.'
},
'web_log.squid_timings': {
title: 'timings',
info: 'Duration of squid requests. Unrealistic spikes may be reported, since squid logs the total time of the requests, when they complete. Especially for HTTPS, the clients get a tunnel from the proxy and exchange requests directly with the upstream servers, so squid cannot evaluate the individual requests and reports the total time the tunnel was open.'
},
'web_log.squid_clients': {
title: 'clients'
},
'web_log.bandwidth': {
info: 'Bandwidth of requests (<code>received</code>) and responses (<code>sent</code>). <code>received</code> requires an extended log format (without it, the web server log does not have this information). This chart may present unusual spikes, since the bandwidth is accounted at the time the log line is saved by the web server, even if the time needed to serve it spans across a longer duration. We suggest to use QoS (e.g. <a href="http://firehol.org/#fireqos" target="_blank">FireQOS</a>) for accurate accounting of the web server bandwidth.'
},
'web_log.urls': {
info: 'Number of requests for each <code>URL pattern</code> defined in <a href="https://github.com/netdata/netdata/blob/master/collectors/python.d.plugin/web_log/web_log.conf" target="_blank"><code>/etc/netdata/python.d/web_log.conf</code></a>. This chart counts all requests matching the URL patterns defined, independently of the web server response codes (i.e. both successful and unsuccessful).'
},
'web_log.clients': {
info: 'Charts showing the number of unique client IPs, accessing the web server.'
},
'web_log.timings': {
info: 'Web server response timings - the time the web server needed to prepare and respond to requests. This requires an extended log format and its meaning is web server specific. For most web servers this accounts the time from the reception of a complete request, to the dispatch of the last byte of the response. So, it includes the network delays of responses, but it does not include the network delays of requests.'
},
'mem.ksm': {
title: 'deduper (ksm)',
info: 'Kernel Same-page Merging (KSM) performance monitoring, read from several files in <code>/sys/kernel/mm/ksm/</code>. KSM is a memory-saving de-duplication feature in the Linux kernel (since version 2.6.32). The KSM daemon ksmd periodically scans those areas of user memory which have been registered with it, looking for pages of identical content which can be replaced by a single write-protected page (which is automatically copied if a process later wants to update its content). KSM was originally developed for use with KVM (where it was known as Kernel Shared Memory), to fit more virtual machines into physical memory, by sharing the data common between them. But it can be useful to any application which generates many instances of the same data.'
},
'mem.hugepages': {
info: 'Hugepages is a feature that allows the kernel to utilize the multiple page size capabilities of modern hardware architectures. The kernel creates multiple pages of virtual memory, mapped from both physical RAM and swap. There is a mechanism in the CPU architecture called "Translation Lookaside Buffers" (TLB) to manage the mapping of virtual memory pages to actual physical memory addresses. The TLB is a limited hardware resource, so utilizing a large amount of physical memory with the default page size consumes the TLB and adds processing overhead. By utilizing Huge Pages, the kernel is able to create pages of much larger sizes, each page consuming a single resource in the TLB. Huge Pages are pinned to physical RAM and cannot be swapped/paged out.'
},
'mem.numa': {
info: 'Non-Uniform Memory Access (NUMA) is a hierarchical memory design the memory access time is dependent on locality. Under NUMA, a processor can access its own local memory faster than non-local memory (memory local to another processor or memory shared between processors). The individual metrics are described in the <a href="https://www.kernel.org/doc/Documentation/numastat.txt" target="_blank">Linux kernel documentation</a>.'
},
'ip.ecn': {
info: '<a href="https://en.wikipedia.org/wiki/Explicit_Congestion_Notification" target="_blank">Explicit Congestion Notification (ECN)</a> is a TCP extension that allows end-to-end notification of network congestion without dropping packets. ECN is an optional feature that may be used between two ECN-enabled endpoints when the underlying network infrastructure also supports it.'
},
'netfilter.conntrack': {
title: 'connection tracker',
info: 'Netfilter Connection Tracker performance metrics. The connection tracker keeps track of all connections of the machine, inbound and outbound. It works by keeping a database with all open connections, tracking network and address translation and connection expectations.'
},
'netfilter.nfacct': {
title: 'bandwidth accounting',
info: 'The following information is read using the <code>nfacct.plugin</code>.'
},
'netfilter.synproxy': {
title: 'DDoS protection',
info: 'DDoS protection performance metrics. <a href="https://github.com/firehol/firehol/wiki/Working-with-SYNPROXY" target="_blank">SYNPROXY</a> is a TCP SYN packets proxy. It is used to protect any TCP server (like a web server) from SYN floods and similar DDoS attacks. It is a netfilter module, in the Linux kernel (since version 3.12). It is optimized to handle millions of packets per second utilizing all CPUs available without any concurrency locking between the connections. It can be used for any kind of TCP traffic (even encrypted), since it does not interfere with the content itself.'
},
'ipfw.dynamic_rules': {
title: 'dynamic rules',
info: 'Number of dynamic rules, created by correspondent stateful firewall rules.'
},
'system.softnet_stat': {
title: 'softnet',
info: function (os) {
if (os === 'linux')
return 'Statistics for CPUs SoftIRQs related to network receive work. Break down per CPU core can be found at <a href="#menu_cpu_submenu_softnet_stat">CPU / softnet statistics</a>. <b>processed</b> states the number of packets processed, <b>dropped</b> is the number packets dropped because the network device backlog was full (to fix them on Linux use <code>sysctl</code> to increase <code>net.core.netdev_max_backlog</code>), <b>squeezed</b> is the number of packets dropped because the network device budget ran out (to fix them on Linux use <code>sysctl</code> to increase <code>net.core.netdev_budget</code> and/or <code>net.core.netdev_budget_usecs</code>). More information about identifying and troubleshooting network driver related issues can be found at <a href="https://access.redhat.com/sites/default/files/attachments/20150325_network_performance_tuning.pdf" target="_blank">Red Hat Enterprise Linux Network Performance Tuning Guide</a>.';
else
return 'Statistics for CPUs SoftIRQs related to network receive work.';
}
},
'cpu.softnet_stat': {
title: 'softnet',
info: function (os) {
if (os === 'linux')
return 'Statistics for per CPUs core SoftIRQs related to network receive work. Total for all CPU cores can be found at <a href="#menu_system_submenu_softnet_stat">System / softnet statistics</a>. <b>processed</b> states the number of packets processed, <b>dropped</b> is the number packets dropped because the network device backlog was full (to fix them on Linux use <code>sysctl</code> to increase <code>net.core.netdev_max_backlog</code>), <b>squeezed</b> is the number of packets dropped because the network device budget ran out (to fix them on Linux use <code>sysctl</code> to increase <code>net.core.netdev_budget</code> and/or <code>net.core.netdev_budget_usecs</code>). More information about identifying and troubleshooting network driver related issues can be found at <a href="https://access.redhat.com/sites/default/files/attachments/20150325_network_performance_tuning.pdf" target="_blank">Red Hat Enterprise Linux Network Performance Tuning Guide</a>.';
else
return 'Statistics for per CPUs core SoftIRQs related to network receive work. Total for all CPU cores can be found at <a href="#menu_system_submenu_softnet_stat">System / softnet statistics</a>.';
}
},
'go_expvar.memstats': {
title: 'memory statistics',
info: 'Go runtime memory statistics. See <a href="https://golang.org/pkg/runtime/#MemStats" target="_blank">runtime.MemStats</a> documentation for more info about each chart and the values.'
},
'couchdb.dbactivity': {
title: 'db activity',
info: 'Overall database reads and writes for the entire server. This includes any external HTTP traffic, as well as internal replication traffic performed in a cluster to ensure node consistency.'
},
'couchdb.httptraffic': {
title: 'http traffic breakdown',
info: 'All HTTP traffic, broken down by type of request (<tt>GET</tt>, <tt>PUT</tt>, <tt>POST</tt>, etc.) and response status code (<tt>200</tt>, <tt>201</tt>, <tt>4xx</tt>, etc.)<br/><br/>Any <tt>5xx</tt> errors here indicate a likely CouchDB bug; check the logfile for further information.'
},
'couchdb.ops': {
title: 'server operations'
},
'couchdb.perdbstats': {
title: 'per db statistics',
info: 'Statistics per database. This includes <a href="http://docs.couchdb.org/en/latest/api/database/common.html#get--db">3 size graphs per database</a>: active (the size of live data in the database), external (the uncompressed size of the database contents), and file (the size of the file on disk, exclusive of any views and indexes). It also includes the number of documents and number of deleted documents per database.'
},
'couchdb.erlang': {
title: 'erlang statistics',
info: 'Detailed information about the status of the Erlang VM that hosts CouchDB. These are intended for advanced users only. High values of the peak message queue (>10e6) generally indicate an overload condition.'
},
'ntpd.system': {
title: 'system',
info: 'Statistics of the system variables as shown by the readlist billboard <code>ntpq -c rl</code>. System variables are assigned an association ID of zero and can also be shown in the readvar billboard <code>ntpq -c "rv 0"</code>. These variables are used in the <a href="http://doc.ntp.org/current-stable/discipline.html">Clock Discipline Algorithm</a>, to calculate the lowest and most stable offset.'
},
'ntpd.peers': {
title: 'peers',
info: 'Statistics of the peer variables for each peer configured in <code>/etc/ntp.conf</code> as shown by the readvar billboard <code>ntpq -c "rv <association>"</code>, while each peer is assigned a nonzero association ID as shown by <code>ntpq -c "apeers"</code>. The module periodically scans for new/changed peers (default: every 60s). <b>ntpd</b> selects the best possible peer from the available peers to synchronize the clock. A minimum of at least 3 peers is required to properly identify the best possible peer.'
}
};
// ----------------------------------------------------------------------------
// chart
// information works on the context of a chart
// Its purpose is to set:
//
// info: the text above the charts
// heads: the representation of the chart at the top the subsection (second level menu)
// mainheads: the representation of the chart at the top of the section (first level menu)
// colors: the dimension colors of the chart (the default colors are appended)
// height: the ratio of the chart height relative to the default
//
var cgroupCPULimitIsSet = 0;
var cgroupMemLimitIsSet = 0;
netdataDashboard.context = {
'system.cpu': {
info: function (os) {
void (os);
return 'Total CPU utilization (all cores). 100% here means there is no CPU idle time at all. You can get per core usage at the <a href="#menu_cpu">CPUs</a> section and per application usage at the <a href="#menu_apps">Applications Monitoring</a> section.'
+ netdataDashboard.sparkline('<br/>Keep an eye on <b>iowait</b> ', 'system.cpu', 'iowait', '%', '. If it is constantly high, your disks are a bottleneck and they slow your system down.')
+ netdataDashboard.sparkline('<br/>An important metric worth monitoring, is <b>softirq</b> ', 'system.cpu', 'softirq', '%', '. A constantly high percentage of softirq may indicate network driver issues.');
},
valueRange: "[0, 100]"
},
'system.load': {
info: 'Current system load, i.e. the number of processes using CPU or waiting for system resources (usually CPU and disk). The 3 metrics refer to 1, 5 and 15 minute averages. The system calculates this once every 5 seconds. For more information check <a href="https://en.wikipedia.org/wiki/Load_(computing)" target="_blank">this wikipedia article</a>',
height: 0.7
},
'system.cpu_pressure': {
info: '<a href="https://www.kernel.org/doc/html/latest/accounting/psi.html">Pressure Stall Information</a> ' +
'identifies and quantifies the disruptions caused by resource contentions. ' +
'The "some" line indicates the share of time in which at least <b>some</b> tasks are stalled on CPU. ' +
'The ratios (in %) are tracked as recent trends over 10-, 60-, and 300-second windows.'
},
'system.memory_some_pressure': {
info: '<a href="https://www.kernel.org/doc/html/latest/accounting/psi.html">Pressure Stall Information</a> ' +
'identifies and quantifies the disruptions caused by resource contentions. ' +
'The "some" line indicates the share of time in which at least <b>some</b> tasks are stalled on memory. ' +
'The "full" line indicates the share of time in which <b>all non-idle</b> tasks are stalled on memory simultaneously. ' +
'In this state actual CPU cycles are going to waste, and a workload that spends extended time in this state is considered to be thrashing. ' +
'The ratios (in %) are tracked as recent trends over 10-, 60-, and 300-second windows.'
},
'system.io_some_pressure': {
info: '<a href="https://www.kernel.org/doc/html/latest/accounting/psi.html">Pressure Stall Information</a> ' +
'identifies and quantifies the disruptions caused by resource contentions. ' +
'The "some" line indicates the share of time in which at least <b>some</b> tasks are stalled on I/O. ' +
'The "full" line indicates the share of time in which <b>all non-idle</b> tasks are stalled on I/O simultaneously. ' +
'In this state actual CPU cycles are going to waste, and a workload that spends extended time in this state is considered to be thrashing. ' +
'The ratios (in %) are tracked as recent trends over 10-, 60-, and 300-second windows.'
},
'system.io': {
info: function (os) {
var s = 'Total Disk I/O, for all physical disks. You can get detailed information about each disk at the <a href="#menu_disk">Disks</a> section and per application Disk usage at the <a href="#menu_apps">Applications Monitoring</a> section.';
if (os === 'linux')
return s + ' Physical are all the disks that are listed in <code>/sys/block</code>, but do not exist in <code>/sys/devices/virtual/block</code>.';
else
return s;
}
},
'system.pgpgio': {
info: 'Memory paged from/to disk. This is usually the total disk I/O of the system.'
},
'system.swapio': {
info: 'Total Swap I/O. (netdata measures both <code>in</code> and <code>out</code>. If either of the metrics <code>in</code> or <code>out</code> is not shown in the chart, the reason is that the metric is zero. - you can change the page settings to always render all the available dimensions on all charts).'
},
'system.pgfaults': {
info: 'Total page faults. <b>Major page faults</b> indicates that the system is using its swap. You can find which applications use the swap at the <a href="#menu_apps">Applications Monitoring</a> section.'
},
'system.entropy': {
colors: '#CC22AA',
info: '<a href="https://en.wikipedia.org/wiki/Entropy_(computing)" target="_blank">Entropy</a>, is a pool of random numbers (<a href="https://en.wikipedia.org/wiki//dev/random" target="_blank">/dev/random</a>) that is mainly used in cryptography. If the pool of entropy gets empty, processes requiring random numbers may run a lot slower (it depends on the interface each program uses), waiting for the pool to be replenished. Ideally a system with high entropy demands should have a hardware device for that purpose (TPM is one such device). There are also several software-only options you may install, like <code>haveged</code>, although these are generally useful only in servers.'
},
'system.forks': {
colors: '#5555DD',
info: 'Number of new processes created.'
},
'system.intr': {
colors: '#DD5555',
info: 'Total number of CPU interrupts. Check <code>system.interrupts</code> that gives more detail about each interrupt and also the <a href="#menu_cpu">CPUs</a> section where interrupts are analyzed per CPU core.'
},
'system.interrupts': {
info: 'CPU interrupts in detail. At the <a href="#menu_cpu">CPUs</a> section, interrupts are analyzed per CPU core.'
},
'system.softirqs': {
info: 'CPU softirqs in detail. At the <a href="#menu_cpu">CPUs</a> section, softirqs are analyzed per CPU core.'
},
'system.processes': {
info: 'System processes. <b>Running</b> are the processes in the CPU. <b>Blocked</b> are processes that are willing to enter the CPU, but they cannot, e.g. because they wait for disk activity.'
},
'system.active_processes': {
info: 'All system processes.'
},
'system.ctxt': {
info: '<a href="https://en.wikipedia.org/wiki/Context_switch" target="_blank">Context Switches</a>, is the switching of the CPU from one process, task or thread to another. If there are many processes or threads willing to execute and very few CPU cores available to handle them, the system is making more context switching to balance the CPU resources among them. The whole process is computationally intensive. The more the context switches, the slower the system gets.'
},
'system.idlejitter': {
info: 'Idle jitter is calculated by netdata. A thread is spawned that requests to sleep for a few microseconds. When the system wakes it up, it measures how many microseconds have passed. The difference between the requested and the actual duration of the sleep, is the <b>idle jitter</b>. This number is useful in real-time environments, where CPU jitter can affect the quality of the service (like VoIP media gateways).'
},
'system.net': {
info: function (os) {
var s = 'Total bandwidth of all physical network interfaces. This does not include <code>lo</code>, VPNs, network bridges, IFB devices, bond interfaces, etc. Only the bandwidth of physical network interfaces is aggregated.';
if (os === 'linux')
return s + ' Physical are all the network interfaces that are listed in <code>/proc/net/dev</code>, but do not exist in <code>/sys/devices/virtual/net</code>.';
else
return s;
}
},
'system.ip': {
info: 'Total IP traffic in the system.'
},
'system.ipv4': {
info: 'Total IPv4 Traffic.'
},
'system.ipv6': {
info: 'Total IPv6 Traffic.'
},
'system.ram': {
info: 'System Random Access Memory (i.e. physical memory) usage.'
},
'system.swap': {
info: 'System swap memory usage. Swap space is used when the amount of physical memory (RAM) is full. When the system needs more memory resources and the RAM is full, inactive pages in memory are moved to the swap space (usually a disk, a disk partition or a file).'
},
// ------------------------------------------------------------------------
// CPU charts
'cpu.cpu': {
commonMin: true,
commonMax: true,
valueRange: "[0, 100]"
},
'cpu.interrupts': {
commonMin: true,
commonMax: true
},
'cpu.softirqs': {
commonMin: true,
commonMax: true
},
'cpu.softnet_stat': {
commonMin: true,
commonMax: true
},
// ------------------------------------------------------------------------
// MEMORY
'mem.ksm_savings': {
heads: [
netdataDashboard.gaugeChart('Saved', '12%', 'savings', '#0099CC')
]
},
'mem.ksm_ratios': {
heads: [
function (os, id) {
void (os);
return '<div data-netdata="' + id + '"'
+ ' data-gauge-max-value="100"'
+ ' data-chart-library="gauge"'
+ ' data-title="Savings"'
+ ' data-units="percentage %"'
+ ' data-gauge-adjust="width"'
+ ' data-width="12%"'
+ ' data-before="0"'
+ ' data-after="-CHART_DURATION"'
+ ' data-points="CHART_DURATION"'
+ ' role="application"></div>';
}
]
},
'mem.zram_usage': {
info: 'ZRAM total RAM usage metrics. ZRAM uses some memory to store metadata about stored memory pages, thus introducing an overhead which is proportional to disk size. It excludes same-element-filled-pages since no memory is allocated for them.'
},
'mem.zram_savings': {
info: 'Displays original and compressed memory data sizes.'
},
'mem.zram_ratio': {
heads: [
netdataDashboard.gaugeChart('Compression Ratio', '12%', 'ratio', '#0099CC')
],
info: 'Compression ratio, calculated as <code>100 * original_size / compressed_size</code>. More means better compression and more RAM savings.'
},
'mem.zram_efficiency': {
heads: [
netdataDashboard.gaugeChart('Efficiency', '12%', 'percent', NETDATA.colors[0])
],
commonMin: true,
commonMax: true,
valueRange: "[0, 100]",
info: 'Memory usage efficiency, calculated as <code>100 * compressed_size / total_mem_used</code>.'
},
'mem.pgfaults': {
info: 'A <a href="https://en.wikipedia.org/wiki/Page_fault" target="_blank">page fault</a> is a type of interrupt, called trap, raised by computer hardware when a running program accesses a memory page that is mapped into the virtual address space, but not actually loaded into main memory. If the page is loaded in memory at the time the fault is generated, but is not marked in the memory management unit as being loaded in memory, then it is called a <b>minor</b> or soft page fault. A <b>major</b> page fault is generated when the system needs to load the memory page from disk or swap memory.'
},
'mem.committed': {
colors: NETDATA.colors[3],
info: 'Committed Memory, is the sum of all memory which has been allocated by processes.'
},
'mem.available': {
info: 'Available Memory is estimated by the kernel, as the amount of RAM that can be used by userspace processes, without causing swapping.'
},
'mem.writeback': {
info: '<b>Dirty</b> is the amount of memory waiting to be written to disk. <b>Writeback</b> is how much memory is actively being written to disk.'
},
'mem.kernel': {
info: 'The total amount of memory being used by the kernel. <b>Slab</b> is the amount of memory used by the kernel to cache data structures for its own use. <b>KernelStack</b> is the amount of memory allocated for each task done by the kernel. <b>PageTables</b> is the amount of memory decicated to the lowest level of page tables (A page table is used to turn a virtual address into a physical memory address). <b>VmallocUsed</b> is the amount of memory being used as virtual address space.'
},
'mem.slab': {
info: '<b>Reclaimable</b> is the amount of memory which the kernel can reuse. <b>Unreclaimable</b> can not be reused even when the kernel is lacking memory.'
},
'mem.hugepages': {
info: 'Dedicated (or Direct) HugePages is memory reserved for applications configured to utilize huge pages. Hugepages are <b>used</b> memory, even if there are free hugepages available.'
},
'mem.transparent_hugepages': {
info: 'Transparent HugePages (THP) is backing virtual memory with huge pages, supporting automatic promotion and demotion of page sizes. It works for all applications for anonymous memory mappings and tmpfs/shmem.'
},
// ------------------------------------------------------------------------
// network interfaces
'net.drops': {
info: 'Packets that have been dropped at the network interface level. These are the same counters reported by <code>ifconfig</code> as <code>RX dropped</code> (inbound) and <code>TX dropped</code> (outbound). <b>inbound</b> packets can be dropped at the network interface level due to <a href="#menu_system_submenu_softnet_stat">softnet backlog</a> overflow, bad / unintented VLAN tags, unknown or unregistered protocols, IPv6 frames when the server is not configured for IPv6. Check <a href="https://www.novell.com/support/kb/doc.php?id=7007165" target="_blank">this document</a> for more information.'
},
// ------------------------------------------------------------------------
// IP
'ip.inerrors': {
info: 'Errors encountered during the reception of IP packets. ' +
'<code>noroutes</code> (<code>InNoRoutes</code>) counts packets that were dropped because there was no route to send them. ' +
'<code>truncated</code> (<code>InTruncatedPkts</code>) counts packets which is being discarded because the datagram frame didn\'t carry enough data. ' +
'<code>checksum</code> (<code>InCsumErrors</code>) counts packets that were dropped because they had wrong checksum. '
},
'ip.tcpmemorypressures': {
info: 'Number of times a socket was put in <b>memory pressure</b> due to a non fatal memory allocation failure (the kernel attempts to work around this situation by reducing the send buffers, etc).'
},
'ip.tcpconnaborts': {