monitoring.pro-darts.net Open in urlscan Pro
45.13.59.61  Public Scan

URL: https://monitoring.pro-darts.net/
Submission Tags: phishingrod
Submission: On July 06 via api from DE — Scanned from DE

Form analysis 5 forms found in the DOM

<form id="optionsForm1" class="form-horizontal">
  <div class="form-group">
    <table>
      <tbody>
        <tr class="option-row">
          <td class="option-control">
            <div class="toggle btn btn-success" data-toggle="toggle" style="width: 110px; height: 0px;"><input id="stop_updates_when_focus_is_lost" type="checkbox" checked="checked" data-toggle="toggle" data-offstyle="danger" data-onstyle="success"
                data-on="On Focus" data-off="Always" data-width="110px">
              <div class="toggle-group"><label class="btn btn-success toggle-on">On Focus</label><label class="btn btn-danger active toggle-off">Always</label><span class="toggle-handle btn btn-default"></span></div>
            </div>
          </td>
          <td class="option-info"><strong>When to refresh the charts?</strong><br><small>When set to <b>On Focus</b>, the charts will stop being updated if the page / tab does not have the focus of the user. When set to <b>Always</b>, the charts will
              always be refreshed. Set it to <b>On Focus</b> it to lower the CPU requirements of the browser (and extend the battery of laptops and tablets) when this page does not have your focus. Set to <b>Always</b> to work on another window (i.e.
              change the settings of something) and have the charts auto-refresh in this window.</small></td>
        </tr>
        <tr class="option-row">
          <td class="option-control">
            <div class="toggle btn btn-primary" data-toggle="toggle" style="width: 110px; height: 0px;"><input id="eliminate_zero_dimensions" type="checkbox" checked="checked" data-toggle="toggle" data-on="Non Zero" data-off="All" data-width="110px">
              <div class="toggle-group"><label class="btn btn-primary toggle-on">Non Zero</label><label class="btn btn-default active toggle-off">All</label><span class="toggle-handle btn btn-default"></span></div>
            </div>
          </td>
          <td class="option-info"><strong>Which dimensions to show?</strong><br><small>When set to <b>Non Zero</b>, dimensions that have all their values (within the current view) set to zero will not be transferred from the netdata server (except if
              all dimensions of the chart are zero, in which case this setting does nothing - all dimensions are transferred and shown). When set to <b>All</b>, all dimensions will always be shown. Set it to <b>Non Zero</b> to lower the data
              transferred between netdata and your browser, lower the CPU requirements of your browser (fewer lines to draw) and increase the focus on the legends (fewer entries at the legends).</small></td>
        </tr>
        <tr class="option-row">
          <td class="option-control">
            <div class="toggle btn btn-default off" data-toggle="toggle" style="width: 110px; height: 0px;"><input id="destroy_on_hide" type="checkbox" data-toggle="toggle" data-on="Destroy" data-off="Hide" data-width="110px">
              <div class="toggle-group"><label class="btn btn-primary toggle-on">Destroy</label><label class="btn btn-default active toggle-off">Hide</label><span class="toggle-handle btn btn-default"></span></div>
            </div>
          </td>
          <td class="option-info"><strong>How to handle hidden charts?</strong><br><small>When set to <b>Destroy</b>, charts that are not in the current viewport of the browser (are above, or below the visible area of the page), will be destroyed and
              re-created if and when they become visible again. When set to <b>Hide</b>, the not-visible charts will be just hidden, to simplify the DOM and speed up your browser. Set it to <b>Destroy</b>, to lower the memory requirements of your
              browser. Set it to <b>Hide</b> for faster restoration of charts on page scrolling.</small></td>
        </tr>
        <tr class="option-row">
          <td class="option-control">
            <div class="toggle btn btn-default off" data-toggle="toggle" style="width: 110px; height: 0px;"><input id="async_on_scroll" type="checkbox" data-toggle="toggle" data-on="Async" data-off="Sync" data-width="110px">
              <div class="toggle-group"><label class="btn btn-primary toggle-on">Async</label><label class="btn btn-default active toggle-off">Sync</label><span class="toggle-handle btn btn-default"></span></div>
            </div>
          </td>
          <td class="option-info"><strong>Page scroll handling?</strong><br><small>When set to <b>Sync</b>, charts will be examined for their visibility immediately after scrolling. On slow computers this may impact the smoothness of page scrolling.
              To update the page when scrolling ends, set it to <b>Async</b>. Set it to <b>Sync</b> for immediate chart updates when scrolling. Set it to <b>Async</b> for smoother page scrolling on slower computers.</small></td>
        </tr>
      </tbody>
    </table>
  </div>
</form>

<form id="optionsForm2" class="form-horizontal">
  <div class="form-group">
    <table>
      <tbody>
        <tr class="option-row">
          <td class="option-control">
            <div class="toggle btn btn-primary" data-toggle="toggle" style="width: 110px; height: 0px;"><input id="parallel_refresher" type="checkbox" checked="checked" data-toggle="toggle" data-on="Parallel" data-off="Sequential" data-width="110px">
              <div class="toggle-group"><label class="btn btn-primary toggle-on">Parallel</label><label class="btn btn-default active toggle-off">Sequential</label><span class="toggle-handle btn btn-default"></span></div>
            </div>
          </td>
          <td class="option-info"><strong>Which chart refresh policy to use?</strong><br><small>When set to <b>parallel</b>, visible charts are refreshed in parallel (all queries are sent to netdata server in parallel) and are rendered
              asynchronously. When set to <b>sequential</b> charts are refreshed one after another. Set it to parallel if your browser can cope with it (most modern browsers do), set it to sequential if you work on an older/slower computer.</small>
          </td>
        </tr>
        <tr class="option-row" id="concurrent_refreshes_row">
          <td class="option-control">
            <div class="toggle btn btn-primary" data-toggle="toggle" style="width: 110px; height: 0px;"><input id="concurrent_refreshes" type="checkbox" checked="checked" data-toggle="toggle" data-on="Resync" data-off="Best Effort"
                data-width="110px">
              <div class="toggle-group"><label class="btn btn-primary toggle-on">Resync</label><label class="btn btn-default active toggle-off">Best Effort</label><span class="toggle-handle btn btn-default"></span></div>
            </div>
          </td>
          <td class="option-info"><strong>Shall we re-sync chart refreshes?</strong><br><small>When set to <b>Resync</b>, the dashboard will attempt to re-synchronize all the charts so that they are refreshed concurrently. When set to
              <b>Best Effort</b>, each chart may be refreshed with a little time difference to the others. Normally, the dashboard starts refreshing them in parallel, but depending on the speed of your computer and the network latencies, charts start
              having a slight time difference. Setting this to <b>Resync</b> will attempt to re-synchronize the charts on every update. Setting it to <b>Best Effort</b> may lower the pressure on your browser and the network.</small></td>
        </tr>
        <tr class="option-row">
          <td class="option-control">
            <div class="toggle btn btn-success" data-toggle="toggle" style="width: 110px; height: 0px;"><input id="sync_selection" type="checkbox" checked="checked" data-toggle="toggle" data-on="Sync" data-off="Don't Sync" data-onstyle="success"
                data-offstyle="danger" data-width="110px">
              <div class="toggle-group"><label class="btn btn-success toggle-on">Sync</label><label class="btn btn-danger active toggle-off">Don't Sync</label><span class="toggle-handle btn btn-default"></span></div>
            </div>
          </td>
          <td class="option-info"><strong>Sync hover selection on all charts?</strong><br><small>When enabled, a selection on one chart will automatically select the same time on all other visible charts and the legends of all visible charts will be
              updated to show the selected values. When disabled, only the chart getting the user's attention will be selected. Enable it to get better insights of the data. Disable it if you are on a very slow computer that cannot actually do
              it.</small></td>
        </tr>
      </tbody>
    </table>
  </div>
</form>

<form id="optionsForm3" class="form-horizontal">
  <div class="form-group">
    <table>
      <tbody>
        <tr class="option-row">
          <td class="option-control">
            <div class="toggle btn btn-default off" data-toggle="toggle" style="width: 110px; height: 0px;"><input id="legend_right" type="checkbox" checked="checked" data-toggle="toggle" data-on="Right" data-off="Below" data-width="110px">
              <div class="toggle-group"><label class="btn btn-primary toggle-on">Right</label><label class="btn btn-default active toggle-off">Below</label><span class="toggle-handle btn btn-default"></span></div>
            </div>
          </td>
          <td class="option-info"><strong>Where do you want to see the legend?</strong><br><small>Netdata can place the legend in two positions: <b>Below</b> charts (the default) or to the <b>Right</b> of
              charts.<br><b>Switching this will reload the dashboard</b>.</small></td>
        </tr>
        <tr class="option-row">
          <td class="option-control">
            <div class="toggle btn btn-success" data-toggle="toggle" style="width: 110px; height: 0px;"><input id="netdata_theme_control" type="checkbox" checked="checked" data-toggle="toggle" data-offstyle="danger" data-onstyle="success"
                data-on="Dark" data-off="White" data-width="110px">
              <div class="toggle-group"><label class="btn btn-success toggle-on">Dark</label><label class="btn btn-danger active toggle-off">White</label><span class="toggle-handle btn btn-default"></span></div>
            </div>
          </td>
          <td class="option-info"><strong>Which theme to use?</strong><br><small>Netdata comes with two themes: <b>Dark</b> (the default) and <b>White</b>.<br><b>Switching this will reload the dashboard</b>.</small></td>
        </tr>
        <tr class="option-row">
          <td class="option-control">
            <div class="toggle btn btn-primary" data-toggle="toggle" style="width: 110px; height: 0px;"><input id="show_help" type="checkbox" checked="checked" data-toggle="toggle" data-on="Help Me" data-off="No Help" data-width="110px">
              <div class="toggle-group"><label class="btn btn-primary toggle-on">Help Me</label><label class="btn btn-default active toggle-off">No Help</label><span class="toggle-handle btn btn-default"></span></div>
            </div>
          </td>
          <td class="option-info"><strong>Do you need help?</strong><br><small>Netdata can show some help in some areas to help you use the dashboard. If all these balloons bother you, disable them using this
              switch.<br><b>Switching this will reload the dashboard</b>.</small></td>
        </tr>
        <tr class="option-row">
          <td class="option-control">
            <div class="toggle btn btn-primary" data-toggle="toggle" style="width: 110px; height: 0px;"><input id="pan_and_zoom_data_padding" type="checkbox" checked="checked" data-toggle="toggle" data-on="Pad" data-off="Don't Pad"
                data-width="110px">
              <div class="toggle-group"><label class="btn btn-primary toggle-on">Pad</label><label class="btn btn-default active toggle-off">Don't Pad</label><span class="toggle-handle btn btn-default"></span></div>
            </div>
          </td>
          <td class="option-info"><strong>Enable data padding when panning and zooming?</strong><br><small>When set to <b>Pad</b> the charts will be padded with more data, both before and after the visible area, thus giving the impression the whole
              database is loaded. This padding will happen only after the first pan or zoom operation on the chart (initially all charts have only the visible data). When set to <b>Don't Pad</b> only the visible data will be transfered from the
              netdata server, even after the first pan and zoom operation.</small></td>
        </tr>
        <tr class="option-row">
          <td class="option-control">
            <div class="toggle btn btn-primary" data-toggle="toggle" style="width: 110px; height: 0px;"><input id="smooth_plot" type="checkbox" checked="checked" data-toggle="toggle" data-on="Smooth" data-off="Rough" data-width="110px">
              <div class="toggle-group"><label class="btn btn-primary toggle-on">Smooth</label><label class="btn btn-default active toggle-off">Rough</label><span class="toggle-handle btn btn-default"></span></div>
            </div>
          </td>
          <td class="option-info"><strong>Enable Bézier lines on charts?</strong><br><small>When set to <b>Smooth</b> the charts libraries that support it, will plot smooth curves instead of simple straight lines to connect the points.<br>Keep in
              mind <a href="http://dygraphs.com" target="_blank">dygraphs</a>, the main charting library in netdata dashboards, can only smooth line charts. It cannot smooth area or stacked charts. When set to <b>Rough</b>, this setting can lower the
              CPU resources consumed by your browser.</small></td>
        </tr>
      </tbody>
    </table>
  </div>
</form>

<form id="optionsForm4" class="form-horizontal">
  <div class="form-group">
    <table>
      <tbody>
        <tr class="option-row">
          <td colspan="2" align="center"><small><b>These settings are applied gradually, as charts are updated. To force them, refresh the dashboard now</b>.</small></td>
        </tr>
        <tr class="option-row">
          <td class="option-control">
            <div class="toggle btn btn-success" data-toggle="toggle" style="width: 110px; height: 0px;"><input id="units_conversion" type="checkbox" checked="checked" data-toggle="toggle" data-on="Scale Units" data-off="Fixed Units"
                data-onstyle="success" data-width="110px">
              <div class="toggle-group"><label class="btn btn-success toggle-on">Scale Units</label><label class="btn btn-default active toggle-off">Fixed Units</label><span class="toggle-handle btn btn-default"></span></div>
            </div>
          </td>
          <td class="option-info"><strong>Enable auto-scaling of select units?</strong><br><small>When set to <b>Scale Units</b> the values shown will dynamically be scaled (e.g. 1000 kilobits will be shown as 1 megabit). Netdata can auto-scale these
              original units: <code>kilobits/s</code>, <code>kilobytes/s</code>, <code>KB/s</code>, <code>KB</code>, <code>MB</code>, and <code>GB</code>. When set to <b>Fixed Units</b> all the values will be rendered using the original units
              maintained by the netdata server.</small></td>
        </tr>
        <tr id="settingsLocaleTempRow" class="option-row">
          <td class="option-control">
            <div class="toggle btn btn-primary" data-toggle="toggle" style="width: 110px; height: 0px;"><input id="units_temp" type="checkbox" checked="checked" data-toggle="toggle" data-on="Celsius" data-off="Fahrenheit" data-width="110px">
              <div class="toggle-group"><label class="btn btn-primary toggle-on">Celsius</label><label class="btn btn-default active toggle-off">Fahrenheit</label><span class="toggle-handle btn btn-default"></span></div>
            </div>
          </td>
          <td class="option-info"><strong>Which units to use for temperatures?</strong><br><small>Set the temperature units of the dashboard.</small></td>
        </tr>
        <tr id="settingsLocaleTimeRow" class="option-row">
          <td class="option-control">
            <div class="toggle btn btn-success" data-toggle="toggle" style="width: 110px; height: 0px;"><input id="seconds_as_time" type="checkbox" checked="checked" data-toggle="toggle" data-on="Time" data-off="Seconds" data-onstyle="success"
                data-width="110px">
              <div class="toggle-group"><label class="btn btn-success toggle-on">Time</label><label class="btn btn-default active toggle-off">Seconds</label><span class="toggle-handle btn btn-default"></span></div>
            </div>
          </td>
          <td class="option-info"><strong>Convert seconds to time?</strong><br><small>When set to <b>Time</b>, charts that present <code>seconds</code> will show <code>DDd:HH:MM:SS</code>. When set to <b>Seconds</b>, the raw number of seconds will be
              presented.</small></td>
        </tr>
      </tbody>
    </table>
  </div>
</form>

#

<form action="#"><input class="form-control" id="switchRegistryPersonGUID" placeholder="your personal ID" maxlength="36" autocomplete="off" style="text-align:center;font-size:1.4em"></form>

Text Content

netdata

Real-time performance monitoring, done right!
Welcome back!Sign in again to enjoy the benefits of Netdata Cloud Sign in
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NETDATA

REAL-TIME PERFORMANCE MONITORING, IN THE GREATEST POSSIBLE DETAIL

Drag charts to pan. Shift + wheel on them, to zoom in and out. Double-click on
them, to reset. Hover on them too!
system.cpu



SYSTEM OVERVIEW

Overview of the key system metrics.
0.0Disk ReadMiB/s
17.2Disk WriteMiB/s
2.1CPU%0.0100.0
2.37Net Inboundmegabits/s
20.1Net Outboundmegabits/s
74.9Used RAM%


CPU


Total CPU utilization (all cores). 100% here means there is no CPU idle time at
all. You can get per core usage at the CPUs section and per application usage at
the Applications Monitoring section.
Keep an eye on iowait

iowait
(0.00%). If it is constantly high, your disks are a bottleneck and they slow
your system down.
An important metric worth monitoring, is softirq

softirq
(0.25%). A constantly high percentage of softirq may indicate network driver
issues. The individual metrics can be found in the kernel documentation.
Total CPU utilization (system.cpu)
0.0
20.0
40.0
60.0
80.0
100.0
00:07:00
00:07:30
00:08:00
00:08:30
00:09:00
00:09:30
00:10:00
00:10:30
00:11:00
00:11:30
00:12:00
00:12:30
00:13:00
00:13:30


softirq


user


system


nice


iowait
percentage
Thu, Jul 06, 2023|00:13:47

softirq0.1

user0.6

system0.5

nice0.3

iowait0.6


Pressure Stall Information identifies and quantifies the disruptions caused by
resource contentions. The "some" line indicates the share of time in which at
least some tasks are stalled on CPU. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
CPU Pressure (system.cpu_pressure)
0.00
1.00
2.00
3.00
4.00
5.00
6.00
00:07:00
00:07:30
00:08:00
00:08:30
00:09:00
00:09:30
00:10:00
00:10:30
00:11:00
00:11:30
00:12:00
00:12:30
00:13:00
00:13:30


some 10


some 60


some 300
percentage
Thu, Jul 06, 2023|00:13:46

some 101.50

some 601.14

some 3000.60




LOAD


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 this wikipedia article.
System Load Average (system.load)
0.20
0.40
0.60
0.80
00:07:00
00:07:30
00:08:00
00:08:30
00:09:00
00:09:30
00:10:00
00:10:30
00:11:00
00:11:30
00:12:00
00:12:30
00:13:00
00:13:30


load1


load5


load15
load
Thu, Jul 06, 2023|00:13:40

load10.75

load50.44

load150.34




DISK


Total Disk I/O, for all physical disks. You can get detailed information about
each disk at the Disks section and per application Disk usage at the
Applications Monitoring section. Physical are all the disks that are listed in
/sys/block, but do not exist in /sys/devices/virtual/block.
system.io

Memory paged from/to disk. This is usually the total disk I/O of the system.
system.pgpgio

Pressure Stall Information identifies and quantifies the disruptions caused by
resource contentions. The "some" line indicates the share of time in which at
least some tasks are stalled on I/O. The "full" line indicates the share of time
in which all non-idle 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_some_pressure

system.io_full_pressure



RAM


System Random Access Memory (i.e. physical memory) usage.
system.ram

Pressure Stall Information identifies and quantifies the disruptions caused by
resource contentions. The "some" line indicates the share of time in which at
least some tasks are stalled on memory. The "full" line indicates the share of
time in which all non-idle 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.memory_some_pressure

system.memory_full_pressure



NETWORK


Total bandwidth of all physical network interfaces. This does not include lo,
VPNs, network bridges, IFB devices, bond interfaces, etc. Only the bandwidth of
physical network interfaces is aggregated. Physical are all the network
interfaces that are listed in /proc/net/dev, but do not exist in
/sys/devices/virtual/net.
system.net

Total IP traffic in the system.
system.ip

Total IPv6 Traffic.
system.ipv6



PROCESSES



System processes.

Running - running or ready to run (runnable). Blocked - currently blocked,
waiting for I/O to complete.

system.processes

The number of new processes created.
system.forks

The total number of processes in the system.
system.active_processes

Context Switches, 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.ctxt



IDLEJITTER


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 idle jitter. This number is useful in real-time
environments, where CPU jitter can affect the quality of the service (like VoIP
media gateways).
system.idlejitter



INTERRUPTS

Interrupts are signals sent to the CPU by external devices (normally I/O
devices) or programs (running processes). They tell the CPU to stop its current
activities and execute the appropriate part of the operating system. Interrupt
types are hardware (generated by hardware devices to signal that they need some
attention from the OS), software (generated by programs when they want to
request a system call to be performed by the operating system), and traps
(generated by the CPU itself to indicate that some error or condition occurred
for which assistance from the operating system is needed).

Total number of CPU interrupts. Check system.interrupts that gives more detail
about each interrupt and also the CPUs section where interrupts are analyzed per
CPU core.
system.intr

CPU interrupts in detail. At the CPUs section, interrupts are analyzed per CPU
core. The last column in /proc/interrupts provides an interrupt description or
the device name that registered the handler for that interrupt.
system.interrupts



SOFTIRQS

Software interrupts (or "softirqs") are one of the oldest deferred-execution
mechanisms in the kernel. Several tasks among those executed by the kernel are
not critical: they can be deferred for a long period of time, if necessary. The
deferrable tasks can execute with all interrupts enabled (softirqs are patterned
after hardware interrupts). Taking them out of the interrupt handler helps keep
kernel response time small.


Total number of software interrupts in the system. At the CPUs section, softirqs
are analyzed per CPU core.

HI - high priority tasklets. TIMER - tasklets related to timer interrupts.
NET_TX, NET_RX - used for network transmit and receive processing. BLOCK -
handles block I/O completion events. IRQ_POLL - used by the IO subsystem to
increase performance (a NAPI like approach for block devices). TASKLET - handles
regular tasklets. SCHED - used by the scheduler to perform load-balancing and
other scheduling tasks. HRTIMER - used for high-resolution timers. RCU -
performs read-copy-update (RCU) processing.

system.softirqs



SOFTNET

Statistics for CPUs SoftIRQs related to network receive work. Break down per CPU
core can be found at CPU / softnet statistics. More information about
identifying and troubleshooting network driver related issues can be found at
Red Hat Enterprise Linux Network Performance Tuning Guide.

Processed - packets processed. Dropped - packets dropped because the network
device backlog was full. Squeezed - number of times the network device budget
was consumed or the time limit was reached, but more work was available.
ReceivedRPS - number of times this CPU has been woken up to process packets via
an Inter-processor Interrupt. FlowLimitCount - number of times the flow limit
has been reached (flow limiting is an optional Receive Packet Steering feature).


system.softnet_stat



ENTROPY


Entropy, is a pool of random numbers (/dev/random) 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 haveged,
although these are generally useful only in servers.
system.entropy



UPTIME


The amount of time the system has been running, including time spent in suspend.
system.uptime



CLOCK SYNCHRONIZATION

NTP lets you automatically sync your system time with a remote server. This
keeps your machine’s time accurate by syncing with servers that are known to
have accurate times.


The system clock synchronization state. It is strongly recommended having the
clock in sync with reliable NTP servers. Otherwise, it leads to unpredictable
problems. It can take several minutes (usually up to 17) before NTP daemon
selects a server to synchronize with.

State map: 0 - not synchronized, 1 - synchronized.

system.clock_sync_state

A typical NTP client regularly polls one or more NTP servers. The client must
compute its time offset and round-trip delay. Time offset is the difference in
absolute time between the two clocks.
system.clock_sync_offset



IPC SEMAPHORES

System V semaphores is an inter-process communication (IPC) mechanism. It allows
processes or threads within a process to synchronize their actions. They are
often used to monitor and control the availability of system resources such as
shared memory segments. For details, see svipc(7). To see the host IPC semaphore
information, run ipcs -us. For limits, run ipcs -ls.

Number of allocated System V IPC semaphores. The system-wide limit on the number
of semaphores in all semaphore sets is specified in /proc/sys/kernel/sem file
(2nd field).
system.ipc_semaphores

Number of used System V IPC semaphore arrays (sets). Semaphores support
semaphore sets where each one is a counting semaphore. So when an application
requests semaphores, the kernel releases them in sets. The system-wide limit on
the maximum number of semaphore sets is specified in /proc/sys/kernel/sem file
(4th field).
system.ipc_semaphore_arrays



IPC SHARED MEMORY

System V shared memory is an inter-process communication (IPC) mechanism. It
allows processes to communicate information by sharing a region of memory. It is
the fastest form of inter-process communication available since no kernel
involvement occurs when data is passed between the processes (no copying).
Typically, processes must synchronize their access to a shared memory object,
using, for example, POSIX semaphores. For details, see svipc(7). To see the host
IPC shared memory information, run ipcs -um. For limits, run ipcs -lm.

Number of allocated System V IPC memory segments. The system-wide maximum number
of shared memory segments that can be created is specified in
/proc/sys/kernel/shmmni file.
system.shared_memory_segments

Amount of memory currently used by System V IPC memory segments. The run-time
limit on the maximum shared memory segment size that can be created is specified
in /proc/sys/kernel/shmmax file.
system.shared_memory_bytes


--------------------------------------------------------------------------------


CPUS

Detailed information for each CPU of the system. A summary of the system for all
CPUs can be found at the System Overview section.



UTILIZATION


cpu.cpu0

cpu.cpu1

cpu.cpu2

cpu.cpu3

cpu.cpu4

cpu.cpu5

cpu.cpu6

cpu.cpu7



INTERRUPTS

Total number of interrupts per CPU. To see the total number for the system check
the interrupts section. The last column in /proc/interrupts provides an
interrupt description or the device name that registered the handler for that
interrupt.

cpu.cpu0_interrupts

cpu.cpu1_interrupts

cpu.cpu2_interrupts

cpu.cpu3_interrupts

cpu.cpu4_interrupts

cpu.cpu5_interrupts

cpu.cpu6_interrupts

cpu.cpu7_interrupts



SOFTIRQS

Total number of software interrupts per CPU. To see the total number for the
system check the softirqs section.

cpu.cpu0_softirqs

cpu.cpu1_softirqs

cpu.cpu2_softirqs

cpu.cpu3_softirqs

cpu.cpu4_softirqs

cpu.cpu5_softirqs

cpu.cpu6_softirqs

cpu.cpu7_softirqs



SOFTNET

Statistics for CPUs SoftIRQs related to network receive work. Total for all CPU
cores can be found at System / softnet statistics. More information about
identifying and troubleshooting network driver related issues can be found at
Red Hat Enterprise Linux Network Performance Tuning Guide.

Processed - packets processed. Dropped - packets dropped because the network
device backlog was full. Squeezed - number of times the network device budget
was consumed or the time limit was reached, but more work was available.
ReceivedRPS - number of times this CPU has been woken up to process packets via
an Inter-processor Interrupt. FlowLimitCount - number of times the flow limit
has been reached (flow limiting is an optional Receive Packet Steering feature).


cpu.cpu0_softnet_stat

cpu.cpu1_softnet_stat

cpu.cpu2_softnet_stat

cpu.cpu3_softnet_stat

cpu.cpu4_softnet_stat

cpu.cpu5_softnet_stat

cpu.cpu6_softnet_stat

cpu.cpu7_softnet_stat



CPUIDLE

Idle States (C-states) are used to save power when the processor is idle.

The percentage of time spent in C-states.
cpu.cpu0_cpuidle

The percentage of time spent in C-states.
cpu.cpu1_cpuidle

The percentage of time spent in C-states.
cpu.cpu2_cpuidle

The percentage of time spent in C-states.
cpu.cpu3_cpuidle

The percentage of time spent in C-states.
cpu.cpu4_cpuidle

The percentage of time spent in C-states.
cpu.cpu5_cpuidle

The percentage of time spent in C-states.
cpu.cpu6_cpuidle

The percentage of time spent in C-states.
cpu.cpu7_cpuidle


--------------------------------------------------------------------------------


MEMORY

Detailed information about the memory management of the system.



SYSTEM


Available Memory is estimated by the kernel, as the amount of RAM that can be
used by userspace processes, without causing swapping.
mem.available

The number of processes killed by Out of Memory Killer. The kernel's OOM killer
is summoned when the system runs short of free memory and is unable to proceed
without killing one or more processes. It tries to pick the process whose demise
will free the most memory while causing the least misery for users of the
system. This counter also includes processes within containers that have
exceeded the memory limit.
mem.oom_kill

Committed Memory, is the sum of all memory which has been allocated by
processes.
mem.committed


A page fault 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.



Minor - 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. Major -
generated when the system needs to load the memory page from disk or swap
memory.



mem.pgfaults



KERNEL


Dirty is the amount of memory waiting to be written to disk. Writeback is how
much memory is actively being written to disk.
mem.writeback


The total amount of memory being used by the kernel.

Slab - used by the kernel to cache data structures for its own use. KernelStack
- allocated for each task done by the kernel. PageTables - dedicated to the
lowest level of page tables (A page table is used to turn a virtual address into
a physical memory address). VmallocUsed - being used as virtual address space.
Percpu - allocated to the per-CPU allocator used to back per-CPU allocations
(excludes the cost of metadata). When you create a per-CPU variable, each
processor on the system gets its own copy of that variable.

mem.kernel



SLAB



Slab memory statistics.



Reclaimable - amount of memory which the kernel can reuse. Unreclaimable - can
not be reused even when the kernel is lacking memory.

mem.slab



HUGEPAGES

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.

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.
mem.transparent_hugepages


--------------------------------------------------------------------------------


DISKS

Charts with performance information for all the system disks. Special care has
been given to present disk performance metrics in a way compatible with iostat
-x. 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.



SDA

disk.sda

disk.sda

disk_util.sda

The amount of data transferred to and from disk.
disk.sda

The amount of discarded data that are no longer in use by a mounted file system.
disk_ext.sda

Completed disk I/O operations. Keep in mind the number of operations requested
might be higher, since the system is able to merge adjacent to each other (see
merged operations chart).
disk_ops.sda


The number (after merges) of completed discard/flush requests.

Discard commands inform disks which blocks of data are no longer considered to
be in use and therefore can be erased internally. They are useful for
solid-state drivers (SSDs) and thinly-provisioned storage. Discarding/trimming
enables the SSD to handle garbage collection more efficiently, which would
otherwise slow future write operations to the involved blocks down.

Flush operations transfer all modified in-core data (i.e., modified buffer cache
pages) to the disk device so that all changed information can be retrieved even
if the system crashes or is rebooted. Flush requests are executed by disks.
Flush requests are not tracked for partitions. Before being merged, flush...

The number (after merges) of completed discard/flush requests.

Discard commands inform disks which blocks of data are no longer considered to
be in use and therefore can be erased internally. They are useful for
solid-state drivers (SSDs) and thinly-provisioned storage. Discarding/trimming
enables the SSD to handle garbage collection more efficiently, which would
otherwise slow future write operations to the involved blocks down.

Flush operations transfer all modified in-core data (i.e., modified buffer cache
pages) to the disk device so that all changed information can be retrieved even
if the system crashes or is rebooted. Flush requests are executed by disks.
Flush requests are not tracked for partitions. Before being merged, flush
operations are counted as writes.

show more information
disk_ext_ops.sda

I/O operations currently in progress. This metric is a snapshot - it is not an
average over the last interval.
disk_qops.sda

Backlog is an indication of the duration of pending disk operations. On every
I/O event the system is multiplying the time spent doing I/O since the last
update of this field with the number of pending operations. While not accurate,
this metric can provide an indication of the expected completion time of the
operations in progress.
disk_backlog.sda

Disk Busy Time measures the amount of time the disk was busy with something.
disk_busy.sda

Disk Utilization measures the amount of time the disk was busy with something.
This is not related to its performance. 100% means that the system always had an
outstanding operation on the disk. Keep in mind that depending on the underlying
technology of the disk, 100% here may or may not be an indication of congestion.
disk_util.sda

The average time for I/O requests issued to the device to be served. This
includes the time spent by the requests in queue and the time spent servicing
them.
disk_await.sda

The average time for discard/flush requests issued to the device to be served.
This includes the time spent by the requests in queue and the time spent
servicing them.
disk_ext_await.sda

The average I/O operation size.
disk_avgsz.sda

The average discard operation size.
disk_ext_avgsz.sda

The average service time for completed I/O operations. This metric is calculated
using the total busy time of the disk and the number of completed operations. If
the disk is able to execute multiple parallel operations the reporting average
service time will be misleading.
disk_svctm.sda

The number of merged disk operations. The system is able to merge adjacent I/O
operations, for example two 4KB reads can become one 8KB read before given to
disk.
disk_mops.sda

The number of merged discard disk operations. Discard operations which are
adjacent to each other may be merged for efficiency.
disk_ext_mops.sda

The sum of the duration of all completed I/O operations. This number can exceed
the interval if the disk is able to execute I/O operations in parallel.
disk_iotime.sda

The sum of the duration of all completed discard/flush operations. This number
can exceed the interval if the disk is able to execute discard/flush operations
in parallel.
disk_ext_iotime.sda



/


Disk space utilization. reserved for root is automatically reserved by the
system to prevent the root user from getting out of space.
disk_space._

Inodes (or index nodes) are filesystem objects (e.g. files and directories). On
many types of file system implementations, the maximum number of inodes is fixed
at filesystem creation, limiting the maximum number of files the filesystem can
hold. It is possible for a device to run out of inodes. When this happens, new
files cannot be created on the device, even though there may be free space
available.
disk_inodes._



/DEV


Disk space utilization. reserved for root is automatically reserved by the
system to prevent the root user from getting out of space.
disk_space._dev

Inodes (or index nodes) are filesystem objects (e.g. files and directories). On
many types of file system implementations, the maximum number of inodes is fixed
at filesystem creation, limiting the maximum number of files the filesystem can
hold. It is possible for a device to run out of inodes. When this happens, new
files cannot be created on the device, even though there may be free space
available.
disk_inodes._dev



/DEV/SHM


Disk space utilization. reserved for root is automatically reserved by the
system to prevent the root user from getting out of space.
disk_space._dev_shm

Inodes (or index nodes) are filesystem objects (e.g. files and directories). On
many types of file system implementations, the maximum number of inodes is fixed
at filesystem creation, limiting the maximum number of files the filesystem can
hold. It is possible for a device to run out of inodes. When this happens, new
files cannot be created on the device, even though there may be free space
available.
disk_inodes._dev_shm



/ETC/NETDATA


Disk space utilization. reserved for root is automatically reserved by the
system to prevent the root user from getting out of space.
disk_space._etc_netdata

Inodes (or index nodes) are filesystem objects (e.g. files and directories). On
many types of file system implementations, the maximum number of inodes is fixed
at filesystem creation, limiting the maximum number of files the filesystem can
hold. It is possible for a device to run out of inodes. When this happens, new
files cannot be created on the device, even though there may be free space
available.
disk_inodes._etc_netdata



/VAR/CACHE/NETDATA


Disk space utilization. reserved for root is automatically reserved by the
system to prevent the root user from getting out of space.
disk_space._var_cache_netdata

Inodes (or index nodes) are filesystem objects (e.g. files and directories). On
many types of file system implementations, the maximum number of inodes is fixed
at filesystem creation, limiting the maximum number of files the filesystem can
hold. It is possible for a device to run out of inodes. When this happens, new
files cannot be created on the device, even though there may be free space
available.
disk_inodes._var_cache_netdata



/VAR/LIB/NETDATA


Disk space utilization. reserved for root is automatically reserved by the
system to prevent the root user from getting out of space.
disk_space._var_lib_netdata

Inodes (or index nodes) are filesystem objects (e.g. files and directories). On
many types of file system implementations, the maximum number of inodes is fixed
at filesystem creation, limiting the maximum number of files the filesystem can
hold. It is possible for a device to run out of inodes. When this happens, new
files cannot be created on the device, even though there may be free space
available.
disk_inodes._var_lib_netdata


--------------------------------------------------------------------------------


NETWORKING STACK

Metrics for the networking stack of the system. These metrics are collected from
/proc/net/netstat or attaching kprobes to kernel functions, apply to both IPv4
and IPv6 traffic and are related to operation of the kernel networking stack.



TCP



TCP connection aborts.

BadData - happens while the connection is on FIN_WAIT1 and the kernel receives a
packet with a sequence number beyond the last one for this connection - the
kernel responds with RST (closes the connection). UserClosed - happens when the
kernel receives data on an already closed connection and responds with RST.
NoMemory - happens when there are too many orphaned sockets (not attached to an
fd) and the kernel has to drop a connection - sometimes it will send an RST,
sometimes it won't. Timeout - happens when a connection times out. Linger -
happens when the kernel killed a socket that was already closed by the
application and lingered around for long enough. Failed - happens when the
kernel attempted to se...

TCP connection aborts.

BadData - happens while the connection is on FIN_WAIT1 and the kernel receives a
packet with a sequence number beyond the last one for this connection - the
kernel responds with RST (closes the connection). UserClosed - happens when the
kernel receives data on an already closed connection and responds with RST.
NoMemory - happens when there are too many orphaned sockets (not attached to an
fd) and the kernel has to drop a connection - sometimes it will send an RST,
sometimes it won't. Timeout - happens when a connection times out. Linger -
happens when the kernel killed a socket that was already closed by the
application and lingered around for long enough. Failed - happens when the
kernel attempted to send an RST but failed because there was no memory
available.

show more information
ip.tcpconnaborts


TCP prevents out-of-order packets by either sequencing them in the correct order
or by requesting the retransmission of out-of-order packets.

Timestamp - detected re-ordering using the timestamp option. SACK - detected
re-ordering using Selective Acknowledgment algorithm. FACK - detected
re-ordering using Forward Acknowledgment algorithm. Reno - detected re-ordering
using Fast Retransmit algorithm.

ip.tcpreorders


TCP maintains an out-of-order queue to keep the out-of-order packets in the TCP
communication.

InQueue - the TCP layer receives an out-of-order packet and has enough memory to
queue it. Dropped - the TCP layer receives an out-of-order packet but does not
have enough memory, so drops it. Merged - the received out-of-order packet has
an overlay with the previous packet. The overlay part will be dropped. All these
packets will also be counted into InQueue. Pruned - packets dropped from
out-of-order queue because of socket buffer overrun.

ip.tcpofo



ECN

Explicit Congestion Notification (ECN) is an extension to the IP and to the TCP
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.


Total number of received IP packets with ECN bits set in the system.

CEP - congestion encountered. NoECTP - non ECN-capable transport. ECTP0 and
ECTP1 - ECN capable transport.

ip.ecnpkts


--------------------------------------------------------------------------------


IPV4 NETWORKING

Metrics for the IPv4 stack of the system. Internet Protocol version 4 (IPv4) 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).



SOCKETS


The total number of used sockets for all address families in this system.
ipv4.sockstat_sockets



PACKETS



IPv4 packets statistics for this host.

Received - packets received by the IP layer. This counter will be increased even
if the packet is dropped later. Sent - packets sent via IP layer, for both
single cast and multicast packets. This counter does not include any packets
counted in Forwarded. Forwarded - input packets for which this host was not
their final IP destination, as a result of which an attempt was made to find a
route to forward them to that final destination. In hosts which do not act as IP
Gateways, this counter will include only those packets which were Source-Routed
and the Source-Route option processing was successful. Delivered - packets
delivered to the upper layer protocols, e.g. TCP, UDP, ICMP, and so on.

ipv4.packets



ICMP



The number of transferred IPv4 ICMP messages.

Received, Sent - ICMP messages which the host received and attempted to send.
Both these counters include errors.

ipv4.icmp


The number of IPv4 ICMP errors.

InErrors - received ICMP messages but determined as having ICMP-specific errors,
e.g. bad ICMP checksums, bad length, etc. OutErrors - ICMP messages which this
host did not send due to problems discovered within ICMP such as a lack of
buffers. This counter does not include errors discovered outside the ICMP layer
such as the inability of IP to route the resultant datagram. InCsumErrors -
received ICMP messages with bad checksum.

ipv4.icmp_errors

The number of transferred IPv4 ICMP control messages.
ipv4.icmpmsg



TCP


The number of TCP connections for which the current state is either ESTABLISHED
or CLOSE-WAIT. This is a snapshot of the established connections at the time of
measurement (i.e. a connection established and a connection disconnected within
the same iteration will not affect this metric).
ipv4.tcpsock


The number of TCP sockets in the system in certain states.

Alloc - in any TCP state. Orphan - no longer attached to a socket descriptor in
any user processes, but for which the kernel is still required to maintain state
in order to complete the transport protocol. InUse - in any TCP state, excluding
TIME-WAIT and CLOSED. TimeWait - in the TIME-WAIT state.

ipv4.sockstat_tcp_sockets


The number of packets transferred by the TCP layer.



Received - received packets, including those received in error, such as checksum
error, invalid TCP header, and so on. Sent - sent packets, excluding the
retransmitted packets. But it includes the SYN, ACK, and RST packets.



ipv4.tcppackets


TCP connection statistics.

Active - number of outgoing TCP connections attempted by this host. Passive -
number of incoming TCP connections accepted by this host.

ipv4.tcpopens


TCP errors.

InErrs - TCP segments received in error (including header too small, checksum
errors, sequence errors, bad packets - for both IPv4 and IPv6). InCsumErrors -
TCP segments received with checksum errors (for both IPv4 and IPv6). RetransSegs
- TCP segments retransmitted.

ipv4.tcperrors


TCP handshake statistics.

EstabResets - established connections resets (i.e. connections that made a
direct transition from ESTABLISHED or CLOSE_WAIT to CLOSED). OutRsts - TCP
segments sent, with the RST flag set (for both IPv4 and IPv6). AttemptFails -
number of times TCP connections made a direct transition from either SYN_SENT or
SYN_RECV to CLOSED, plus the number of times TCP connections made a direct
transition from the SYN_RECV to LISTEN. SynRetrans - shows retries for new
outbound TCP connections, which can indicate general connectivity issues or
backlog on the remote host.

ipv4.tcphandshake

The amount of memory used by allocated TCP sockets.
ipv4.sockstat_tcp_mem



UDP


The number of used UDP sockets.
ipv4.sockstat_udp_sockets

The number of transferred UDP packets.
ipv4.udppackets


The number of errors encountered during transferring UDP packets.

RcvbufErrors - receive buffer is full. SndbufErrors - send buffer is full, no
kernel memory available, or the IP layer reported an error when trying to send
the packet and no error queue has been setup. InErrors - that is an aggregated
counter for all errors, excluding NoPorts. NoPorts - no application is listening
at the destination port. InCsumErrors - a UDP checksum failure is detected.
IgnoredMulti - ignored multicast packets.
ipv4.udperrors

The amount of memory used by allocated UDP sockets.
ipv4.sockstat_udp_mem


--------------------------------------------------------------------------------


IPV6 NETWORKING

Metrics for the IPv6 stack of the system. Internet Protocol version 6 (IPv6) 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.



PACKETS



IPv6 packet statistics for this host.

Received - packets received by the IP layer. This counter will be increased even
if the packet is dropped later. Sent - packets sent via IP layer, for both
single cast and multicast packets. This counter does not include any packets
counted in Forwarded. Forwarded - input packets for which this host was not
their final IP destination, as a result of which an attempt was made to find a
route to forward them to that final destination. In hosts which do not act as IP
Gateways, this counter will include only those packets which were Source-Routed
and the Source-Route option processing was successful. Delivers - packets
delivered to the upper layer protocols, e.g. TCP, UDP, ICMP, and so on.

ipv6.packets



ERRORS



The number of discarded IPv6 packets.

InDiscards, OutDiscards - packets which were chosen to be discarded even though
no errors had been detected to prevent their being deliverable to a higher-layer
protocol. InHdrErrors - errors in IP headers, including bad checksums, version
number mismatch, other format errors, time-to-live exceeded, etc. InAddrErrors -
invalid IP address or the destination IP address is not a local address and IP
forwarding is not enabled. InUnknownProtos - unknown or unsupported protocol.
InTooBigErrors - the size exceeded the link MTU. InTruncatedPkts - packet frame
did not carry enough data. InNoRoutes - no route could be found while
forwarding. OutNoRoutes - no route could be found for packets generated by this
host.

ipv6.errors



TCP6


The number of TCP sockets in any state, excluding TIME-WAIT and CLOSED.
ipv6.sockstat6_tcp_sockets


--------------------------------------------------------------------------------


NETWORK INTERFACES

Performance metrics for network interfaces.

Netdata retrieves this data reading the /proc/net/dev file and /sys/class/net/
directory.




BR-025BD82C4E08

net.br-025bd82c4e08

net.br-025bd82c4e08

The amount of traffic transferred by the network interface.
net.br-025bd82c4e08

The number of packets transferred by the network interface. Received multicast
counter is commonly calculated at the device level (unlike received) and
therefore may include packets which did not reach the host.
net_packets.br-025bd82c4e08


The current operational state of the interface.

Unknown - the state can not be determined. NotPresent - the interface has
missing (typically, hardware) components. Down - the interface is unable to
transfer data on L1, e.g. ethernet is not plugged or interface is
administratively down. LowerLayerDown - the interface is down due to state of
lower-layer interface(s). Testing - the interface is in testing mode, e.g. cable
test. It can’t be used for normal traffic until tests complete. Dormant - the
interface is L1 up, but waiting for an external event, e.g. for a protocol to
establish. Up - the interface is ready to pass packets and can be used.

State map: 0 - unknown, 1 - notpresent, 2 - down, 3 - lowerlayerdown, 4 -
testing, 5 - dormant, 6 - up.

net_operstate.br-025bd82c4e08


The current physical link state of the interface.

State map: 0 - down, 1 - up.

net_carrier.br-025bd82c4e08

The interface's currently configured Maximum transmission unit (MTU) value. MTU
is the size of the largest protocol data unit that can be communicated in a
single network layer transaction.
net_mtu.br-025bd82c4e08



BR-697AA1606E32

net.br-697aa1606e32

net.br-697aa1606e32

The amount of traffic transferred by the network interface.
net.br-697aa1606e32

The number of packets transferred by the network interface. Received multicast
counter is commonly calculated at the device level (unlike received) and
therefore may include packets which did not reach the host.
net_packets.br-697aa1606e32


The current operational state of the interface.

Unknown - the state can not be determined. NotPresent - the interface has
missing (typically, hardware) components. Down - the interface is unable to
transfer data on L1, e.g. ethernet is not plugged or interface is
administratively down. LowerLayerDown - the interface is down due to state of
lower-layer interface(s). Testing - the interface is in testing mode, e.g. cable
test. It can’t be used for normal traffic until tests complete. Dormant - the
interface is L1 up, but waiting for an external event, e.g. for a protocol to
establish. Up - the interface is ready to pass packets and can be used.

State map: 0 - unknown, 1 - notpresent, 2 - down, 3 - lowerlayerdown, 4 -
testing, 5 - dormant, 6 - up.

net_operstate.br-697aa1606e32


The current physical link state of the interface.

State map: 0 - down, 1 - up.

net_carrier.br-697aa1606e32

The interface's currently configured Maximum transmission unit (MTU) value. MTU
is the size of the largest protocol data unit that can be communicated in a
single network layer transaction.
net_mtu.br-697aa1606e32



BR-D6EF0CF5C47F

net.br-d6ef0cf5c47f

net.br-d6ef0cf5c47f

The amount of traffic transferred by the network interface.
net.br-d6ef0cf5c47f

The number of packets transferred by the network interface. Received multicast
counter is commonly calculated at the device level (unlike received) and
therefore may include packets which did not reach the host.
net_packets.br-d6ef0cf5c47f


The current operational state of the interface.

Unknown - the state can not be determined. NotPresent - the interface has
missing (typically, hardware) components. Down - the interface is unable to
transfer data on L1, e.g. ethernet is not plugged or interface is
administratively down. LowerLayerDown - the interface is down due to state of
lower-layer interface(s). Testing - the interface is in testing mode, e.g. cable
test. It can’t be used for normal traffic until tests complete. Dormant - the
interface is L1 up, but waiting for an external event, e.g. for a protocol to
establish. Up - the interface is ready to pass packets and can be used.

State map: 0 - unknown, 1 - notpresent, 2 - down, 3 - lowerlayerdown, 4 -
testing, 5 - dormant, 6 - up.

net_operstate.br-d6ef0cf5c47f


The current physical link state of the interface.

State map: 0 - down, 1 - up.

net_carrier.br-d6ef0cf5c47f

The interface's currently configured Maximum transmission unit (MTU) value. MTU
is the size of the largest protocol data unit that can be communicated in a
single network layer transaction.
net_mtu.br-d6ef0cf5c47f



DOCKER0

net.docker0

net.docker0

The amount of traffic transferred by the network interface.
net.docker0

The number of packets transferred by the network interface. Received multicast
counter is commonly calculated at the device level (unlike received) and
therefore may include packets which did not reach the host.
net_packets.docker0


The current operational state of the interface.

Unknown - the state can not be determined. NotPresent - the interface has
missing (typically, hardware) components. Down - the interface is unable to
transfer data on L1, e.g. ethernet is not plugged or interface is
administratively down. LowerLayerDown - the interface is down due to state of
lower-layer interface(s). Testing - the interface is in testing mode, e.g. cable
test. It can’t be used for normal traffic until tests complete. Dormant - the
interface is L1 up, but waiting for an external event, e.g. for a protocol to
establish. Up - the interface is ready to pass packets and can be used.

State map: 0 - unknown, 1 - notpresent, 2 - down, 3 - lowerlayerdown, 4 -
testing, 5 - dormant, 6 - up.

net_operstate.docker0


The current physical link state of the interface.

State map: 0 - down, 1 - up.

net_carrier.docker0

The interface's currently configured Maximum transmission unit (MTU) value. MTU
is the size of the largest protocol data unit that can be communicated in a
single network layer transaction.
net_mtu.docker0



ETH0

net.eth0

net.eth0

The amount of traffic transferred by the network interface.
net.eth0

The number of packets transferred by the network interface. Received multicast
counter is commonly calculated at the device level (unlike received) and
therefore may include packets which did not reach the host.
net_packets.eth0

The interface's latest or current speed that the network adapter negotiated with
the device it is connected to. This does not give the max supported speed of the
NIC.
net_speed.eth0


The interface's latest or current duplex that the network adapter negotiated
with the device it is connected to.

Unknown - the duplex mode can not be determined. Half duplex - the communication
is one direction at a time. Full duplex - the interface is able to send and
receive data simultaneously.

State map: 0 - unknown, 1 - half, 2 - full.

net_duplex.eth0


The current operational state of the interface.

Unknown - the state can not be determined. NotPresent - the interface has
missing (typically, hardware) components. Down - the interface is unable to
transfer data on L1, e.g. ethernet is not plugged or interface is
administratively down. LowerLayerDown - the interface is down due to state of
lower-layer interface(s). Testing - the interface is in testing mode, e.g. cable
test. It can’t be used for normal traffic until tests complete. Dormant - the
interface is L1 up, but waiting for an external event, e.g. for a protocol to
establish. Up - the interface is ready to pass packets and can be used.

State map: 0 - unknown, 1 - notpresent, 2 - down, 3 - lowerlayerdown, 4 -
testing, 5 - dormant, 6 - up.

net_operstate.eth0


The current physical link state of the interface.

State map: 0 - down, 1 - up.

net_carrier.eth0

The interface's currently configured Maximum transmission unit (MTU) value. MTU
is the size of the largest protocol data unit that can be communicated in a
single network layer transaction.
net_mtu.eth0



VETH0E35A4E

net.veth0e35a4e

net.veth0e35a4e

The amount of traffic transferred by the network interface.
net.veth0e35a4e

The number of packets transferred by the network interface. Received multicast
counter is commonly calculated at the device level (unlike received) and
therefore may include packets which did not reach the host.
net_packets.veth0e35a4e


The current operational state of the interface.

Unknown - the state can not be determined. NotPresent - the interface has
missing (typically, hardware) components. Down - the interface is unable to
transfer data on L1, e.g. ethernet is not plugged or interface is
administratively down. LowerLayerDown - the interface is down due to state of
lower-layer interface(s). Testing - the interface is in testing mode, e.g. cable
test. It can’t be used for normal traffic until tests complete. Dormant - the
interface is L1 up, but waiting for an external event, e.g. for a protocol to
establish. Up - the interface is ready to pass packets and can be used.

State map: 0 - unknown, 1 - notpresent, 2 - down, 3 - lowerlayerdown, 4 -
testing, 5 - dormant, 6 - up.

net_operstate.veth0e35a4e


The current physical link state of the interface.

State map: 0 - down, 1 - up.

net_carrier.veth0e35a4e

The interface's currently configured Maximum transmission unit (MTU) value. MTU
is the size of the largest protocol data unit that can be communicated in a
single network layer transaction.
net_mtu.veth0e35a4e



VETH86A3D35

net.veth86a3d35

net.veth86a3d35

The amount of traffic transferred by the network interface.
net.veth86a3d35

The number of packets transferred by the network interface. Received multicast
counter is commonly calculated at the device level (unlike received) and
therefore may include packets which did not reach the host.
net_packets.veth86a3d35


The current operational state of the interface.

Unknown - the state can not be determined. NotPresent - the interface has
missing (typically, hardware) components. Down - the interface is unable to
transfer data on L1, e.g. ethernet is not plugged or interface is
administratively down. LowerLayerDown - the interface is down due to state of
lower-layer interface(s). Testing - the interface is in testing mode, e.g. cable
test. It can’t be used for normal traffic until tests complete. Dormant - the
interface is L1 up, but waiting for an external event, e.g. for a protocol to
establish. Up - the interface is ready to pass packets and can be used.

State map: 0 - unknown, 1 - notpresent, 2 - down, 3 - lowerlayerdown, 4 -
testing, 5 - dormant, 6 - up.

net_operstate.veth86a3d35


The current physical link state of the interface.

State map: 0 - down, 1 - up.

net_carrier.veth86a3d35

The interface's currently configured Maximum transmission unit (MTU) value. MTU
is the size of the largest protocol data unit that can be communicated in a
single network layer transaction.
net_mtu.veth86a3d35



VETH8105612

net.veth8105612

net.veth8105612

The amount of traffic transferred by the network interface.
net.veth8105612

The number of packets transferred by the network interface. Received multicast
counter is commonly calculated at the device level (unlike received) and
therefore may include packets which did not reach the host.
net_packets.veth8105612


The current operational state of the interface.

Unknown - the state can not be determined. NotPresent - the interface has
missing (typically, hardware) components. Down - the interface is unable to
transfer data on L1, e.g. ethernet is not plugged or interface is
administratively down. LowerLayerDown - the interface is down due to state of
lower-layer interface(s). Testing - the interface is in testing mode, e.g. cable
test. It can’t be used for normal traffic until tests complete. Dormant - the
interface is L1 up, but waiting for an external event, e.g. for a protocol to
establish. Up - the interface is ready to pass packets and can be used.

State map: 0 - unknown, 1 - notpresent, 2 - down, 3 - lowerlayerdown, 4 -
testing, 5 - dormant, 6 - up.

net_operstate.veth8105612


The current physical link state of the interface.

State map: 0 - down, 1 - up.

net_carrier.veth8105612

The interface's currently configured Maximum transmission unit (MTU) value. MTU
is the size of the largest protocol data unit that can be communicated in a
single network layer transaction.
net_mtu.veth8105612



VETHC2276A3

net.vethc2276a3

net.vethc2276a3

The amount of traffic transferred by the network interface.
net.vethc2276a3

The number of packets transferred by the network interface. Received multicast
counter is commonly calculated at the device level (unlike received) and
therefore may include packets which did not reach the host.
net_packets.vethc2276a3


The current operational state of the interface.

Unknown - the state can not be determined. NotPresent - the interface has
missing (typically, hardware) components. Down - the interface is unable to
transfer data on L1, e.g. ethernet is not plugged or interface is
administratively down. LowerLayerDown - the interface is down due to state of
lower-layer interface(s). Testing - the interface is in testing mode, e.g. cable
test. It can’t be used for normal traffic until tests complete. Dormant - the
interface is L1 up, but waiting for an external event, e.g. for a protocol to
establish. Up - the interface is ready to pass packets and can be used.

State map: 0 - unknown, 1 - notpresent, 2 - down, 3 - lowerlayerdown, 4 -
testing, 5 - dormant, 6 - up.

net_operstate.vethc2276a3


The current physical link state of the interface.

State map: 0 - down, 1 - up.

net_carrier.vethc2276a3

The interface's currently configured Maximum transmission unit (MTU) value. MTU
is the size of the largest protocol data unit that can be communicated in a
single network layer transaction.
net_mtu.vethc2276a3



VETHCD26712

net.vethcd26712

net.vethcd26712

The amount of traffic transferred by the network interface.
net.vethcd26712

The number of packets transferred by the network interface. Received multicast
counter is commonly calculated at the device level (unlike received) and
therefore may include packets which did not reach the host.
net_packets.vethcd26712


The current operational state of the interface.

Unknown - the state can not be determined. NotPresent - the interface has
missing (typically, hardware) components. Down - the interface is unable to
transfer data on L1, e.g. ethernet is not plugged or interface is
administratively down. LowerLayerDown - the interface is down due to state of
lower-layer interface(s). Testing - the interface is in testing mode, e.g. cable
test. It can’t be used for normal traffic until tests complete. Dormant - the
interface is L1 up, but waiting for an external event, e.g. for a protocol to
establish. Up - the interface is ready to pass packets and can be used.

State map: 0 - unknown, 1 - notpresent, 2 - down, 3 - lowerlayerdown, 4 -
testing, 5 - dormant, 6 - up.

net_operstate.vethcd26712


The current physical link state of the interface.

State map: 0 - down, 1 - up.

net_carrier.vethcd26712

The interface's currently configured Maximum transmission unit (MTU) value. MTU
is the size of the largest protocol data unit that can be communicated in a
single network layer transaction.
net_mtu.vethcd26712



VETHEFA9CFD

net.vethefa9cfd

net.vethefa9cfd

The amount of traffic transferred by the network interface.
net.vethefa9cfd

The number of packets transferred by the network interface. Received multicast
counter is commonly calculated at the device level (unlike received) and
therefore may include packets which did not reach the host.
net_packets.vethefa9cfd


The current operational state of the interface.

Unknown - the state can not be determined. NotPresent - the interface has
missing (typically, hardware) components. Down - the interface is unable to
transfer data on L1, e.g. ethernet is not plugged or interface is
administratively down. LowerLayerDown - the interface is down due to state of
lower-layer interface(s). Testing - the interface is in testing mode, e.g. cable
test. It can’t be used for normal traffic until tests complete. Dormant - the
interface is L1 up, but waiting for an external event, e.g. for a protocol to
establish. Up - the interface is ready to pass packets and can be used.

State map: 0 - unknown, 1 - notpresent, 2 - down, 3 - lowerlayerdown, 4 -
testing, 5 - dormant, 6 - up.

net_operstate.vethefa9cfd


The current physical link state of the interface.

State map: 0 - down, 1 - up.

net_carrier.vethefa9cfd

The interface's currently configured Maximum transmission unit (MTU) value. MTU
is the size of the largest protocol data unit that can be communicated in a
single network layer transaction.
net_mtu.vethefa9cfd


--------------------------------------------------------------------------------


FIREWALL (NETFILTER)

Performance metrics of the netfilter components.



CONNECTION TRACKER

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.

The number of entries in the conntrack table.
netfilter.conntrack_sockets


--------------------------------------------------------------------------------


SYSTEMD SERVICES

Resources utilization of systemd services. Netdata monitors all systemd services
via cgroups (the resources accounting used by containers).



CPU


Total CPU utilization within the system-wide CPU resources (all cores). The
amount of time spent by tasks of the cgroup in user and kernel modes.
services.cpu



MEM


The amount of used RAM.
services.mem_usage



DISK


The amount of data transferred from specific devices as seen by the CFQ
scheduler. It is not updated when the CFQ scheduler is operating on a request
queue.
services.io_read

The amount of data transferred to specific devices as seen by the CFQ scheduler.
It is not updated when the CFQ scheduler is operating on a request queue.
services.io_write

The number of read operations performed on specific devices as seen by the CFQ
scheduler.
services.io_ops_read

The number write operations performed on specific devices as seen by the CFQ
scheduler.
services.io_ops_write


--------------------------------------------------------------------------------


APPLICATIONS

Per application statistics are collected using apps.plugin. This plugin walks
through all processes and aggregates statistics for application groups. The
plugin also counts the resources of exited children. So for processes like shell
scripts, the reported values include the resources used by the commands these
scripts run within each timeframe.



CPU


Total CPU utilization (all cores). It includes user, system and guest time.
apps.cpu

The amount of time the CPU was busy executing code in user mode (all cores).
apps.cpu_user

The amount of time the CPU was busy executing code in kernel mode (all cores).
apps.cpu_system



DISK


The amount of data that has been read from the storage layer. Actual physical
disk I/O was required.
apps.preads

The amount of data that has been written to the storage layer. Actual physical
disk I/O was required.
apps.pwrites

The amount of data that has been read from the storage layer. It includes things
such as terminal I/O and is unaffected by whether or not actual physical disk
I/O was required (the read might have been satisfied from pagecache).
apps.lreads

The amount of data that has been written or shall be written to the storage
layer. It includes things such as terminal I/O and is unaffected by whether or
not actual physical disk I/O was required.
apps.lwrites

The number of open files and directories.
apps.files



MEM


Real memory (RAM) used by applications. This does not include shared memory.
apps.mem

Virtual memory allocated by applications. Check this article for more
information.
apps.vmem

The number of minor faults which have not required loading a memory page from
the disk. Minor page faults occur when a process needs data that is in memory
and is assigned to another process. They share memory pages between multiple
processes – no additional data needs to be read from disk to memory.
apps.minor_faults



PROCESSES


The number of threads.
apps.threads

The number of processes.
apps.processes

The period of time within which at least one process in the group has been
running.
apps.uptime

The number of open pipes. A pipe is a unidirectional data channel that can be
used for interprocess communication.
apps.pipes



SWAP


The amount of swapped-out virtual memory by anonymous private pages. This does
not include shared swap memory.
apps.swap

The number of major faults which have required loading a memory page from the
disk. Major page faults occur because of the absence of the required page from
the RAM. They are expected when a process starts or needs to read in additional
data and in these cases do not indicate a problem condition. However, a major
page fault can also be the result of reading memory pages that have been written
out to the swap file, which could indicate a memory shortage.
apps.major_faults



NETWORK

Netdata also gives a summary for eBPF charts in Networking Stack submenu.

The number of open sockets. Sockets are a way to enable inter-process
communication between programs running on a server, or between programs running
on separate servers. This includes both network and UNIX sockets.
apps.sockets


--------------------------------------------------------------------------------


USER GROUPS

Per user group statistics are collected using apps.plugin. This plugin walks
through all processes and aggregates statistics per user group. The plugin also
counts the resources of exited children. So for processes like shell scripts,
the reported values include the resources used by the commands these scripts run
within each timeframe.



CPU


Total CPU utilization (all cores). It includes user, system and guest time.
groups.cpu

The amount of time the CPU was busy executing code in user mode (all cores).
groups.cpu_user

The amount of time the CPU was busy executing code in kernel mode (all cores).
groups.cpu_system



DISK


The amount of data that has been read from the storage layer. Actual physical
disk I/O was required.
groups.preads

The amount of data that has been written to the storage layer. Actual physical
disk I/O was required.
groups.pwrites

The amount of data that has been read from the storage layer. It includes things
such as terminal I/O and is unaffected by whether or not actual physical disk
I/O was required (the read might have been satisfied from pagecache).
groups.lreads

The amount of data that has been written or shall be written to the storage
layer. It includes things such as terminal I/O and is unaffected by whether or
not actual physical disk I/O was required.
groups.lwrites

The number of open files and directories.
groups.files



MEM


Real memory (RAM) used per user group. This does not include shared memory.
groups.mem

Virtual memory allocated per user group since the Netdata restart. Please check
this article for more information.
groups.vmem

The number of minor faults which have not required loading a memory page from
the disk. Minor page faults occur when a process needs data that is in memory
and is assigned to another process. They share memory pages between multiple
processes – no additional data needs to be read from disk to memory.
groups.minor_faults



PROCESSES


The number of threads.
groups.threads

The number of processes.
groups.processes

The period of time within which at least one process in the group has been
running.
groups.uptime

The number of open pipes. A pipe is a unidirectional data channel that can be
used for interprocess communication.
groups.pipes



SWAP


The amount of swapped-out virtual memory by anonymous private pages. This does
not include shared swap memory.
groups.swap

The number of major faults which have required loading a memory page from the
disk. Major page faults occur because of the absence of the required page from
the RAM. They are expected when a process starts or needs to read in additional
data and in these cases do not indicate a problem condition. However, a major
page fault can also be the result of reading memory pages that have been written
out to the swap file, which could indicate a memory shortage.
groups.major_faults



NET


The number of open sockets. Sockets are a way to enable inter-process
communication between programs running on a server, or between programs running
on separate servers. This includes both network and UNIX sockets.
groups.sockets


--------------------------------------------------------------------------------


USERS

Per user statistics are collected using apps.plugin. This plugin walks through
all processes and aggregates statistics per user. The plugin also counts the
resources of exited children. So for processes like shell scripts, the reported
values include the resources used by the commands these scripts run within each
timeframe.



CPU


Total CPU utilization (all cores). It includes user, system and guest time.
users.cpu

The amount of time the CPU was busy executing code in user mode (all cores).
users.cpu_user

The amount of time the CPU was busy executing code in kernel mode (all cores).
users.cpu_system



DISK


The amount of data that has been read from the storage layer. Actual physical
disk I/O was required.
users.preads

The amount of data that has been written to the storage layer. Actual physical
disk I/O was required.
users.pwrites

The amount of data that has been read from the storage layer. It includes things
such as terminal I/O and is unaffected by whether or not actual physical disk
I/O was required (the read might have been satisfied from pagecache).
users.lreads

The amount of data that has been written or shall be written to the storage
layer. It includes things such as terminal I/O and is unaffected by whether or
not actual physical disk I/O was required.
users.lwrites

The number of open files and directories.
users.files



MEM


Real memory (RAM) used per user group. This does not include shared memory.
users.mem

Virtual memory allocated per user group since the Netdata restart. Please check
this article for more information.
users.vmem

The number of minor faults which have not required loading a memory page from
the disk. Minor page faults occur when a process needs data that is in memory
and is assigned to another process. They share memory pages between multiple
processes – no additional data needs to be read from disk to memory.
users.minor_faults



PROCESSES


The number of threads.
users.threads

The number of processes.
users.processes

The period of time within which at least one process in the group has been
running.
users.uptime

The number of open pipes. A pipe is a unidirectional data channel that can be
used for interprocess communication.
users.pipes



SWAP


The amount of swapped-out virtual memory by anonymous private pages. This does
not include shared swap memory.
users.swap

The number of major faults which have required loading a memory page from the
disk. Major page faults occur because of the absence of the required page from
the RAM. They are expected when a process starts or needs to read in additional
data and in these cases do not indicate a problem condition. However, a major
page fault can also be the result of reading memory pages that have been written
out to the swap file, which could indicate a memory shortage.
users.major_faults



NET


The number of open sockets. Sockets are a way to enable inter-process
communication between programs running on a server, or between programs running
on separate servers. This includes both network and UNIX sockets.
users.sockets


--------------------------------------------------------------------------------


 0B9793A852D0

Container resource utilization metrics. Netdata reads this information from
cgroups (abbreviated from control groups), a Linux kernel feature that limits
and accounts resource usage (CPU, memory, disk I/O, network, etc.) of a
collection of processes. cgroups together with namespaces (that offer isolation
between processes) provide what we usually call: containers.
cgroup_0b9793a852d0.cpu_limit

cgroup_0b9793a852d0.mem_usage_limit



CPU


Total CPU utilization within the configured or system-wide (if not set) limits.
When the CPU utilization of a cgroup exceeds the limit for the configured
period, the tasks belonging to its hierarchy will be throttled and are not
allowed to run again until the next period.
cgroup_0b9793a852d0.cpu_limit

Total CPU utilization within the system-wide CPU resources (all cores). The
amount of time spent by tasks of the cgroup in user and kernel modes.
cgroup_0b9793a852d0.cpu

CPU Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on CPU. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_0b9793a852d0.cpu_pressure



MEM


RAM utilization within the configured or system-wide (if not set) limits. When
the RAM utilization of a cgroup exceeds the limit, OOM killer will start killing
the tasks belonging to the cgroup.
cgroup_0b9793a852d0.mem_utilization

RAM usage within the configured or system-wide (if not set) limits. When the RAM
usage of a cgroup exceeds the limit, OOM killer will start killing the tasks
belonging to the cgroup.
cgroup_0b9793a852d0.mem_usage_limit

The amount of used RAM and swap memory.
cgroup_0b9793a852d0.mem_usage

Memory usage statistics. The individual metrics are described in the memory.stat
section for cgroup-v1 and cgroup-v2.
cgroup_0b9793a852d0.mem

Dirty is the amount of memory waiting to be written to disk. Writeback is how
much memory is actively being written to disk.
cgroup_0b9793a852d0.writeback


Memory page fault statistics.

Pgfault - all page faults. Swap - major page faults.

cgroup_0b9793a852d0.pgfaults

Memory Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on memory. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_0b9793a852d0.mem_pressure

Memory Pressure Stall Information. Full indicates the share of time in which all
non-idle 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.
cgroup_0b9793a852d0.mem_full_pressure



DISK


The amount of data transferred to and from specific devices as seen by the CFQ
scheduler. It is not updated when the CFQ scheduler is operating on a request
queue.
cgroup_0b9793a852d0.io

The number of I/O operations performed on specific devices as seen by the CFQ
scheduler.
cgroup_0b9793a852d0.serviced_ops

I/O Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on I/O. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_0b9793a852d0.io_pressure

I/O Pressure Stall Information. Full indicates the share of time in which all
non-idle 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.
cgroup_0b9793a852d0.io_full_pressure


--------------------------------------------------------------------------------


 2A2C61532585

Container resource utilization metrics. Netdata reads this information from
cgroups (abbreviated from control groups), a Linux kernel feature that limits
and accounts resource usage (CPU, memory, disk I/O, network, etc.) of a
collection of processes. cgroups together with namespaces (that offer isolation
between processes) provide what we usually call: containers.
cgroup_2a2c61532585.cpu_limit

cgroup_2a2c61532585.mem_usage_limit



CPU


Total CPU utilization within the configured or system-wide (if not set) limits.
When the CPU utilization of a cgroup exceeds the limit for the configured
period, the tasks belonging to its hierarchy will be throttled and are not
allowed to run again until the next period.
cgroup_2a2c61532585.cpu_limit

Total CPU utilization within the system-wide CPU resources (all cores). The
amount of time spent by tasks of the cgroup in user and kernel modes.
cgroup_2a2c61532585.cpu

CPU Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on CPU. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_2a2c61532585.cpu_pressure



MEM


RAM utilization within the configured or system-wide (if not set) limits. When
the RAM utilization of a cgroup exceeds the limit, OOM killer will start killing
the tasks belonging to the cgroup.
cgroup_2a2c61532585.mem_utilization

RAM usage within the configured or system-wide (if not set) limits. When the RAM
usage of a cgroup exceeds the limit, OOM killer will start killing the tasks
belonging to the cgroup.
cgroup_2a2c61532585.mem_usage_limit

The amount of used RAM and swap memory.
cgroup_2a2c61532585.mem_usage

Memory usage statistics. The individual metrics are described in the memory.stat
section for cgroup-v1 and cgroup-v2.
cgroup_2a2c61532585.mem

Dirty is the amount of memory waiting to be written to disk. Writeback is how
much memory is actively being written to disk.
cgroup_2a2c61532585.writeback


Memory page fault statistics.

Pgfault - all page faults. Swap - major page faults.

cgroup_2a2c61532585.pgfaults

Memory Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on memory. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_2a2c61532585.mem_pressure

Memory Pressure Stall Information. Full indicates the share of time in which all
non-idle 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.
cgroup_2a2c61532585.mem_full_pressure



DISK


The amount of data transferred to and from specific devices as seen by the CFQ
scheduler. It is not updated when the CFQ scheduler is operating on a request
queue.
cgroup_2a2c61532585.io

The number of I/O operations performed on specific devices as seen by the CFQ
scheduler.
cgroup_2a2c61532585.serviced_ops

I/O Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on I/O. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_2a2c61532585.io_pressure

I/O Pressure Stall Information. Full indicates the share of time in which all
non-idle 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.
cgroup_2a2c61532585.io_full_pressure


--------------------------------------------------------------------------------


 50C41C8E9512

Container resource utilization metrics. Netdata reads this information from
cgroups (abbreviated from control groups), a Linux kernel feature that limits
and accounts resource usage (CPU, memory, disk I/O, network, etc.) of a
collection of processes. cgroups together with namespaces (that offer isolation
between processes) provide what we usually call: containers.
cgroup_50c41c8e9512.cpu_limit

cgroup_50c41c8e9512.mem_usage_limit



CPU


Total CPU utilization within the configured or system-wide (if not set) limits.
When the CPU utilization of a cgroup exceeds the limit for the configured
period, the tasks belonging to its hierarchy will be throttled and are not
allowed to run again until the next period.
cgroup_50c41c8e9512.cpu_limit

Total CPU utilization within the system-wide CPU resources (all cores). The
amount of time spent by tasks of the cgroup in user and kernel modes.
cgroup_50c41c8e9512.cpu

CPU Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on CPU. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_50c41c8e9512.cpu_pressure



MEM


RAM utilization within the configured or system-wide (if not set) limits. When
the RAM utilization of a cgroup exceeds the limit, OOM killer will start killing
the tasks belonging to the cgroup.
cgroup_50c41c8e9512.mem_utilization

RAM usage within the configured or system-wide (if not set) limits. When the RAM
usage of a cgroup exceeds the limit, OOM killer will start killing the tasks
belonging to the cgroup.
cgroup_50c41c8e9512.mem_usage_limit

The amount of used RAM and swap memory.
cgroup_50c41c8e9512.mem_usage

Memory usage statistics. The individual metrics are described in the memory.stat
section for cgroup-v1 and cgroup-v2.
cgroup_50c41c8e9512.mem

Dirty is the amount of memory waiting to be written to disk. Writeback is how
much memory is actively being written to disk.
cgroup_50c41c8e9512.writeback


Memory page fault statistics.

Pgfault - all page faults. Swap - major page faults.

cgroup_50c41c8e9512.pgfaults

Memory Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on memory. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_50c41c8e9512.mem_pressure

Memory Pressure Stall Information. Full indicates the share of time in which all
non-idle 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.
cgroup_50c41c8e9512.mem_full_pressure



DISK


The amount of data transferred to and from specific devices as seen by the CFQ
scheduler. It is not updated when the CFQ scheduler is operating on a request
queue.
cgroup_50c41c8e9512.io

The number of I/O operations performed on specific devices as seen by the CFQ
scheduler.
cgroup_50c41c8e9512.serviced_ops

I/O Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on I/O. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_50c41c8e9512.io_pressure

I/O Pressure Stall Information. Full indicates the share of time in which all
non-idle 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.
cgroup_50c41c8e9512.io_full_pressure


--------------------------------------------------------------------------------


 4071FB23175B

Container resource utilization metrics. Netdata reads this information from
cgroups (abbreviated from control groups), a Linux kernel feature that limits
and accounts resource usage (CPU, memory, disk I/O, network, etc.) of a
collection of processes. cgroups together with namespaces (that offer isolation
between processes) provide what we usually call: containers.
cgroup_4071fb23175b.cpu_limit

cgroup_4071fb23175b.mem_usage_limit



CPU


Total CPU utilization within the configured or system-wide (if not set) limits.
When the CPU utilization of a cgroup exceeds the limit for the configured
period, the tasks belonging to its hierarchy will be throttled and are not
allowed to run again until the next period.
cgroup_4071fb23175b.cpu_limit

Total CPU utilization within the system-wide CPU resources (all cores). The
amount of time spent by tasks of the cgroup in user and kernel modes.
cgroup_4071fb23175b.cpu

CPU Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on CPU. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_4071fb23175b.cpu_pressure



MEM


RAM utilization within the configured or system-wide (if not set) limits. When
the RAM utilization of a cgroup exceeds the limit, OOM killer will start killing
the tasks belonging to the cgroup.
cgroup_4071fb23175b.mem_utilization

RAM usage within the configured or system-wide (if not set) limits. When the RAM
usage of a cgroup exceeds the limit, OOM killer will start killing the tasks
belonging to the cgroup.
cgroup_4071fb23175b.mem_usage_limit

The amount of used RAM and swap memory.
cgroup_4071fb23175b.mem_usage

Memory usage statistics. The individual metrics are described in the memory.stat
section for cgroup-v1 and cgroup-v2.
cgroup_4071fb23175b.mem

Dirty is the amount of memory waiting to be written to disk. Writeback is how
much memory is actively being written to disk.
cgroup_4071fb23175b.writeback


Memory page fault statistics.

Pgfault - all page faults. Swap - major page faults.

cgroup_4071fb23175b.pgfaults

Memory Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on memory. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_4071fb23175b.mem_pressure

Memory Pressure Stall Information. Full indicates the share of time in which all
non-idle 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.
cgroup_4071fb23175b.mem_full_pressure



DISK


The amount of data transferred to and from specific devices as seen by the CFQ
scheduler. It is not updated when the CFQ scheduler is operating on a request
queue.
cgroup_4071fb23175b.io

The number of I/O operations performed on specific devices as seen by the CFQ
scheduler.
cgroup_4071fb23175b.serviced_ops

I/O Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on I/O. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_4071fb23175b.io_pressure

I/O Pressure Stall Information. Full indicates the share of time in which all
non-idle 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.
cgroup_4071fb23175b.io_full_pressure


--------------------------------------------------------------------------------


 BBE9DBFA9CF0

Container resource utilization metrics. Netdata reads this information from
cgroups (abbreviated from control groups), a Linux kernel feature that limits
and accounts resource usage (CPU, memory, disk I/O, network, etc.) of a
collection of processes. cgroups together with namespaces (that offer isolation
between processes) provide what we usually call: containers.
cgroup_bbe9dbfa9cf0.cpu_limit

cgroup_bbe9dbfa9cf0.mem_usage_limit



CPU


Total CPU utilization within the configured or system-wide (if not set) limits.
When the CPU utilization of a cgroup exceeds the limit for the configured
period, the tasks belonging to its hierarchy will be throttled and are not
allowed to run again until the next period.
cgroup_bbe9dbfa9cf0.cpu_limit

Total CPU utilization within the system-wide CPU resources (all cores). The
amount of time spent by tasks of the cgroup in user and kernel modes.
cgroup_bbe9dbfa9cf0.cpu

CPU Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on CPU. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_bbe9dbfa9cf0.cpu_pressure



MEM


RAM utilization within the configured or system-wide (if not set) limits. When
the RAM utilization of a cgroup exceeds the limit, OOM killer will start killing
the tasks belonging to the cgroup.
cgroup_bbe9dbfa9cf0.mem_utilization

RAM usage within the configured or system-wide (if not set) limits. When the RAM
usage of a cgroup exceeds the limit, OOM killer will start killing the tasks
belonging to the cgroup.
cgroup_bbe9dbfa9cf0.mem_usage_limit

The amount of used RAM and swap memory.
cgroup_bbe9dbfa9cf0.mem_usage

Memory usage statistics. The individual metrics are described in the memory.stat
section for cgroup-v1 and cgroup-v2.
cgroup_bbe9dbfa9cf0.mem

Dirty is the amount of memory waiting to be written to disk. Writeback is how
much memory is actively being written to disk.
cgroup_bbe9dbfa9cf0.writeback


Memory page fault statistics.

Pgfault - all page faults. Swap - major page faults.

cgroup_bbe9dbfa9cf0.pgfaults

Memory Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on memory. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_bbe9dbfa9cf0.mem_pressure

Memory Pressure Stall Information. Full indicates the share of time in which all
non-idle 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.
cgroup_bbe9dbfa9cf0.mem_full_pressure



DISK


The amount of data transferred to and from specific devices as seen by the CFQ
scheduler. It is not updated when the CFQ scheduler is operating on a request
queue.
cgroup_bbe9dbfa9cf0.io

The number of I/O operations performed on specific devices as seen by the CFQ
scheduler.
cgroup_bbe9dbfa9cf0.serviced_ops

I/O Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on I/O. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_bbe9dbfa9cf0.io_pressure

I/O Pressure Stall Information. Full indicates the share of time in which all
non-idle 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.
cgroup_bbe9dbfa9cf0.io_full_pressure


--------------------------------------------------------------------------------


 BD30643302A2

Container resource utilization metrics. Netdata reads this information from
cgroups (abbreviated from control groups), a Linux kernel feature that limits
and accounts resource usage (CPU, memory, disk I/O, network, etc.) of a
collection of processes. cgroups together with namespaces (that offer isolation
between processes) provide what we usually call: containers.
cgroup_bd30643302a2.cpu_limit

cgroup_bd30643302a2.mem_usage_limit



CPU


Total CPU utilization within the configured or system-wide (if not set) limits.
When the CPU utilization of a cgroup exceeds the limit for the configured
period, the tasks belonging to its hierarchy will be throttled and are not
allowed to run again until the next period.
cgroup_bd30643302a2.cpu_limit

Total CPU utilization within the system-wide CPU resources (all cores). The
amount of time spent by tasks of the cgroup in user and kernel modes.
cgroup_bd30643302a2.cpu

CPU Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on CPU. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_bd30643302a2.cpu_pressure



MEM


RAM utilization within the configured or system-wide (if not set) limits. When
the RAM utilization of a cgroup exceeds the limit, OOM killer will start killing
the tasks belonging to the cgroup.
cgroup_bd30643302a2.mem_utilization

RAM usage within the configured or system-wide (if not set) limits. When the RAM
usage of a cgroup exceeds the limit, OOM killer will start killing the tasks
belonging to the cgroup.
cgroup_bd30643302a2.mem_usage_limit

The amount of used RAM and swap memory.
cgroup_bd30643302a2.mem_usage

Memory usage statistics. The individual metrics are described in the memory.stat
section for cgroup-v1 and cgroup-v2.
cgroup_bd30643302a2.mem

Dirty is the amount of memory waiting to be written to disk. Writeback is how
much memory is actively being written to disk.
cgroup_bd30643302a2.writeback


Memory page fault statistics.

Pgfault - all page faults. Swap - major page faults.

cgroup_bd30643302a2.pgfaults

Memory Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on memory. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_bd30643302a2.mem_pressure

Memory Pressure Stall Information. Full indicates the share of time in which all
non-idle 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.
cgroup_bd30643302a2.mem_full_pressure



DISK


The amount of data transferred to and from specific devices as seen by the CFQ
scheduler. It is not updated when the CFQ scheduler is operating on a request
queue.
cgroup_bd30643302a2.io

The number of I/O operations performed on specific devices as seen by the CFQ
scheduler.
cgroup_bd30643302a2.serviced_ops

I/O Pressure Stall Information. Some indicates the share of time in which at
least some tasks are stalled on I/O. The ratios (in %) are tracked as recent
trends over 10-, 60-, and 300-second windows.
cgroup_bd30643302a2.io_pressure

I/O Pressure Stall Information. Full indicates the share of time in which all
non-idle 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.
cgroup_bd30643302a2.io_full_pressure


--------------------------------------------------------------------------------


NETDATA MONITORING

Performance metrics for the operation of netdata itself and its plugins.



NETDATA


netdata.net

netdata.server_cpu

netdata.uptime

netdata.clients

netdata.requests

The netdata API response time measures the time netdata needed to serve
requests. This time includes everything, from the reception of the first byte of
a request, to the dispatch of the last byte of its reply, therefore it includes
all network latencies involved (i.e. a client over a slow network will influence
these metrics).
netdata.response_time

netdata.compression_ratio



QUERIES


netdata.queries

netdata.db_points



DBENGINE


netdata.dbengine_compression_ratio

netdata.page_cache_hit_ratio

netdata.page_cache_stats

netdata.dbengine_long_term_page_stats

netdata.dbengine_io_throughput

netdata.dbengine_io_operations

netdata.dbengine_global_errors

netdata.dbengine_global_file_descriptors

netdata.dbengine_ram



CGROUPS


netdata.plugin_cgroups_cpu



PROC


netdata.plugin_proc_cpu

netdata.plugin_proc_modules



WEB


netdata.web_thread1_cpu

netdata.web_thread2_cpu

netdata.web_thread3_cpu

netdata.web_thread4_cpu

netdata.web_thread5_cpu

netdata.web_thread6_cpu



STATSD


netdata.plugin_statsd_charting_cpu

netdata.plugin_statsd_collector1_cpu

netdata.statsd_metrics

netdata.statsd_useful_metrics

netdata.statsd_events

netdata.statsd_reads

netdata.statsd_bytes

netdata.statsd_packets

netdata.tcp_connects

netdata.tcp_connected

netdata.private_charts



DISKSPACE


netdata.plugin_diskspace

netdata.plugin_diskspace_dt



TIMEX


netdata.plugin_timex

netdata.plugin_timex_dt



TC.HELPER


netdata.plugin_tc_cpu

netdata.plugin_tc_time



APPS.PLUGIN


netdata.apps_cpu

netdata.apps_sizes

netdata.apps_fix

netdata.apps_children_fix


--------------------------------------------------------------------------------

 * System Overview
   * cpu
   * load
   * disk
   * ram
   * network
   * processes
   * idlejitter
   * interrupts
   * softirqs
   * softnet
   * entropy
   * uptime
   * clock synchronization
   * ipc semaphores
   * ipc shared memory
 * CPUs
   * utilization
   * interrupts
   * softirqs
   * softnet
   * cpuidle
 * Memory
   * system
   * kernel
   * slab
   * hugepages
 * Disks
   * sda
   * /
   * /dev
   * /dev/shm
   * /etc/netdata
   * /var/cache/netdata
   * /var/lib/netdata
 * Networking Stack
   * tcp
   * ecn
 * IPv4 Networking
   * sockets
   * packets
   * icmp
   * tcp
   * udp
 * IPv6 Networking
   * packets
   * errors
   * tcp6
 * Network Interfaces
   * br-025bd82c4e08
   * br-697aa1606e32
   * br-d6ef0cf5c47f
   * docker0
   * eth0
   * veth0e35a4e
   * veth86a3d35
   * veth8105612
   * vethc2276a3
   * vethcd26712
   * vethefa9cfd
 * Firewall (netfilter)
   * connection tracker
 * systemd Services
   * cpu
   * mem
   * disk
 * Applications
   * cpu
   * disk
   * mem
   * processes
   * swap
   * network
 * User Groups
   * cpu
   * disk
   * mem
   * processes
   * swap
   * net
 * Users
   * cpu
   * disk
   * mem
   * processes
   * swap
   * net
 *  0b9793a852d0
   * cpu
   * mem
   * disk
 *  2a2c61532585
   * cpu
   * mem
   * disk
 *  50c41c8e9512
   * cpu
   * mem
   * disk
 *  4071fb23175b
   * cpu
   * mem
   * disk
 *  bbe9dbfa9cf0
   * cpu
   * mem
   * disk
 *  bd30643302a2
   * cpu
   * mem
   * disk
 * Netdata Monitoring
   * netdata
   * queries
   * dbengine
   * cgroups
   * proc
   * web
   * statsd
   * diskspace
   * timex
   * tc.helper
   * apps.plugin
 * Add more charts
 * Add more alarms
 * Every second, Netdata collects 2,148 metrics on 2a2c61532585, presents them
   in 386 charts and monitors them with 131 alarms.
    
   netdata
   v1.32.1-37-nightly
 * Do you like Netdata?
   Give us a star!
   
   And share the word!



Netdata

Copyright 2020, Netdata, Inc.


Terms and conditions Privacy Policy
Released under GPL v3 or later. Netdata uses third party tools.



XSS PROTECTION

This dashboard is about to render data from server:



To protect your privacy, the dashboard will check all data transferred for cross
site scripting (XSS).
This is CPU intensive, so your browser might be a bit slower.

If you trust the remote server, you can disable XSS protection.
In this case, any remote dashboard decoration code (javascript) will also run.

If you don't trust the remote server, you should keep the protection on.
The dashboard will run slower and remote dashboard decoration code will not run,
but better be safe than sorry...

Keep protecting me I don't need this, the server is mine
×

PRINT THIS NETDATA DASHBOARD

netdata dashboards cannot be captured, since we are lazy loading and hiding all
but the visible charts.
To capture the whole page with all the charts rendered, a new browser window
will pop-up that will render all the charts at once. The new browser window will
maintain the current pan and zoom settings of the charts. So, align the charts
before proceeding.

This process will put some CPU and memory pressure on your browser.
For the netdata server, we will sequencially download all the charts, to avoid
congesting network and server resources.
Please, do not print netdata dashboards on paper!

Print Close
×

PREPARING DASHBOARD FOR PRINTING...

Please wait while we initialize and render all the charts on the dashboard.

The print dialog will appear as soon as we finish rendering the page.

×

IMPORT A NETDATA SNAPSHOT

netdata can export and import dashboard snapshots. Any netdata can import the
snapshot of any other netdata. The snapshots are not uploaded to a server. They
are handled entirely by your web browser, on your computer.

Click here to select the netdata snapshot file to import

Browse for a snapshot file (or drag it and drop it here), then click Import to
render it.



FilenameHostnameOrigin URLCharts InfoSnapshot InfoTime RangeComments



Snapshot files contain both data and javascript code. Make sure you trust the
files you import! Import Close
×

EXPORT A SNAPSHOT

Please wait while we collect all the dashboard data...

Select the desired resolution of the snapshot. This is the seconds of data per
point.
 
 

 

Filename
Compression
 * Select Compression
 * 
 * uncompressed
 * 
 * pako.deflate (gzip, binary)
 * pako.deflate.base64 (gzip, ascii)
 * 
 * lzstring.uri (LZ, ascii)
 * lzstring.utf16 (LZ, utf16)
 * lzstring.base64 (LZ, ascii)

Comments
 
Select snaphost resolution. This controls the size the snapshot file.

The generated snapshot will include all charts of this dashboard, for the
visible timeframe, so align, pan and zoom the charts as needed. The scroll
position of the dashboard will also be saved. The snapshot will be downloaded as
a file, to your computer, that can be imported back into any netdata dashboard
(no need to import it back on this server).

Snapshot files include all the information of the dashboard, including the URL
of the origin server, its netdata unique ID, etc. So, if you share the snapshot
file with third parties, they will be able to access the origin server, if this
server is exposed on the internet.
Snapshots are handled entirely by the web browser. The netdata servers are not
aware of them.

Export Cancel
×

NETDATA ALARMS

 * Active
 * All
 * Log

loading...
loading...
loading...
Close
×

NETDATA DASHBOARD OPTIONS

These are browser settings. Each viewer has its own. They do not affect the
operation of your netdata server.
Settings take effect immediately and are saved permanently to browser local
storage (except the refresh on focus / always option).
To reset all options (including charts sizes) to their defaults, click here.

 * Performance
 * Synchronization
 * Visual
 * Locale

On FocusAlways
When to refresh the charts?
When set to On Focus, the charts will stop being updated if the page / tab does
not have the focus of the user. When set to Always, the charts will always be
refreshed. Set it to On Focus it to lower the CPU requirements of the browser
(and extend the battery of laptops and tablets) when this page does not have
your focus. Set to Always to work on another window (i.e. change the settings of
something) and have the charts auto-refresh in this window.
Non ZeroAll
Which dimensions to show?
When set to Non Zero, dimensions that have all their values (within the current
view) set to zero will not be transferred from the netdata server (except if all
dimensions of the chart are zero, in which case this setting does nothing - all
dimensions are transferred and shown). When set to All, all dimensions will
always be shown. Set it to Non Zero to lower the data transferred between
netdata and your browser, lower the CPU requirements of your browser (fewer
lines to draw) and increase the focus on the legends (fewer entries at the
legends).
DestroyHide
How to handle hidden charts?
When set to Destroy, charts that are not in the current viewport of the browser
(are above, or below the visible area of the page), will be destroyed and
re-created if and when they become visible again. When set to Hide, the
not-visible charts will be just hidden, to simplify the DOM and speed up your
browser. Set it to Destroy, to lower the memory requirements of your browser.
Set it to Hide for faster restoration of charts on page scrolling.
AsyncSync
Page scroll handling?
When set to Sync, charts will be examined for their visibility immediately after
scrolling. On slow computers this may impact the smoothness of page scrolling.
To update the page when scrolling ends, set it to Async. Set it to Sync for
immediate chart updates when scrolling. Set it to Async for smoother page
scrolling on slower computers.

ParallelSequential
Which chart refresh policy to use?
When set to parallel, visible charts are refreshed in parallel (all queries are
sent to netdata server in parallel) and are rendered asynchronously. When set to
sequential charts are refreshed one after another. Set it to parallel if your
browser can cope with it (most modern browsers do), set it to sequential if you
work on an older/slower computer.
ResyncBest Effort
Shall we re-sync chart refreshes?
When set to Resync, the dashboard will attempt to re-synchronize all the charts
so that they are refreshed concurrently. When set to Best Effort, each chart may
be refreshed with a little time difference to the others. Normally, the
dashboard starts refreshing them in parallel, but depending on the speed of your
computer and the network latencies, charts start having a slight time
difference. Setting this to Resync will attempt to re-synchronize the charts on
every update. Setting it to Best Effort may lower the pressure on your browser
and the network.
SyncDon't Sync
Sync hover selection on all charts?
When enabled, a selection on one chart will automatically select the same time
on all other visible charts and the legends of all visible charts will be
updated to show the selected values. When disabled, only the chart getting the
user's attention will be selected. Enable it to get better insights of the data.
Disable it if you are on a very slow computer that cannot actually do it.

RightBelow
Where do you want to see the legend?
Netdata can place the legend in two positions: Below charts (the default) or to
the Right of charts.
Switching this will reload the dashboard.
DarkWhite
Which theme to use?
Netdata comes with two themes: Dark (the default) and White.
Switching this will reload the dashboard.
Help MeNo Help
Do you need help?
Netdata can show some help in some areas to help you use the dashboard. If all
these balloons bother you, disable them using this switch.
Switching this will reload the dashboard.
PadDon't Pad
Enable data padding when panning and zooming?
When set to Pad the charts will be padded with more data, both before and after
the visible area, thus giving the impression the whole database is loaded. This
padding will happen only after the first pan or zoom operation on the chart
(initially all charts have only the visible data). When set to Don't Pad only
the visible data will be transfered from the netdata server, even after the
first pan and zoom operation.
SmoothRough
Enable Bézier lines on charts?
When set to Smooth the charts libraries that support it, will plot smooth curves
instead of simple straight lines to connect the points.
Keep in mind dygraphs, the main charting library in netdata dashboards, can only
smooth line charts. It cannot smooth area or stacked charts. When set to Rough,
this setting can lower the CPU resources consumed by your browser.

These settings are applied gradually, as charts are updated. To force them,
refresh the dashboard now.
Scale UnitsFixed Units
Enable auto-scaling of select units?
When set to Scale Units the values shown will dynamically be scaled (e.g. 1000
kilobits will be shown as 1 megabit). Netdata can auto-scale these original
units: kilobits/s, kilobytes/s, KB/s, KB, MB, and GB. When set to Fixed Units
all the values will be rendered using the original units maintained by the
netdata server.
CelsiusFahrenheit
Which units to use for temperatures?
Set the temperature units of the dashboard.
TimeSeconds
Convert seconds to time?
When set to Time, charts that present seconds will show DDd:HH:MM:SS. When set
to Seconds, the raw number of seconds will be presented.

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UPDATE CHECK

Your netdata version: v1.32.1-37-nightly




New version of netdata available!

Latest version: v1.40.0-84-nightly

Click here for the changes log and
click here for directions on updating your netdata installation.

We suggest to review the changes log for new features you may be interested, or
important bug fixes you may need.
Keeping your netdata updated is generally a good idea.

--------------------------------------------------------------------------------

For progress reports and key netdata updates: Join the Netdata Community
You can also follow netdata on twitter, follow netdata on facebook, or watch
netdata on github.
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identification GUIDs.

After you upgrade all your netdata servers, your private registry will not be
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SWITCH NETDATA REGISTRY IDENTITY

You can copy and paste the following ID to all your browsers (e.g. work and
home).
All the browsers with the same ID will identify you, so please don't share this
with others.

Either copy this ID and paste it to another browser, or paste here the ID you
have taken from another browser.
Keep in mind that:
 * when you switch ID, your previous ID will be lost forever - this is
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 * both IDs have to be known by the registry: .
 * to get a new ID, just clear your browser cookies.


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