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1. Go to the web interface of the self-diagnostics service: http://127.0.0.1:2004120040/.
   

2. Select the required metric in the list (1) or enter the query in the Expression field.

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   title  Description of useful metrics
   Metric Description ALERTS_FOR_STATE Troubleshooting by the self-diagnostics service. Code Block title Example ALERTS_FOR_STATE{alertname="ipint_is_not_activated",ep_name="hosts/Server1/DeviceIpint.99",instance="127.0.0.1:20108",job="ngp_exportexporter",ngp_alert="true"} Possible values of the alertname parameter (see What is the self-diagnostics service): low_os_memory — out of RAM; ipint_is_not_activated — camera is connected but does not send data; no_samples_in_detector — no events from a detection tool; restart_services_when_archive_source_not_activated — the archive is not working; restart_services_when_no_samples_in_archive — recording to archive with 0 FPS; restart_services_when_no_ping_from_detector_to_archive — no recording to the archive on detection tool triggering; logs_disk_space_is_low/db_disk_space_is_low — out of system disk space. ngp_archive_channel_fps The frame rate of all video cameras recording to archive. ngp_cpu_total_usage The percentage of CPU load on a Server. ngp_fps The frame rate of all Server video cameras, all detection tools and their decoders.

   The request allows for:

   1. Using multiple metrics.

   2. Using expressions to find problems. For example, a query like ngp_fps <17 will return all metrics, where FPS was less than 17. For a complete list of logical and arithmetic operators, see the official Prometheus documentation.  

   3. Filtering by any of the parameters. For example, a query like ngp_fps{ep_name=~"hosts/V-BELYAKOVTEST/DeviceIpint.2/SourceEndpoint.video:0:0"} will return FPS values only for the specified source.
      
      Examples of useful queries for Windows:
      The CPU loading graph similar to the Windows System monitor:

      Code Block
      sum by (process_id) (100 / scalar(wmi_cs_logical_processors) * (irate(wmi_process_cpu_time_total{job="os_export", process="AppHost"}[10m]))) or ngp_cpu_total_usage

      The graph of RAM usage by the AppHost processes and a total memory space:

      Code Block
      sum by (process_id) (avg_over_time(wmi_process_working_set{job=~"os_export", process="AppHost"}[5m])) / 1024 or avg_over_time(wmi_os_virtual_memory_bytes{job=~"os_export"}[5m]) / 1024

      The percentage of RAM usage:

      Code Block
      100.0 - 100 * avg_over_time(wmi_os_virtual_memory_free_bytes{job=~"os_export"}[5m]) / avg_over_time(wmi_os_virtual_memory_bytes{job=~"os_export"}[5m])

      Examples of useful queries for Linux:
      The graph of RAM usage by the AppHost processes and a total memory space in bytes:
      

      Code Block
      sum by (groupname) (namedprocess_namegroup_memory_bytes{memtype="resident"})

      The percentage of RAM usage:
      

      Code Block
      100 - node_memory_MemAvailable_bytes * 100 / node_memory_MemTotal_bytes

      The graph of the CPU load by the AppHost processes as a percentage:
      

      Code Block
      sum by (groupname) (rate(namedprocess_namegroup_cpu_seconds_total[1m])) * 100

      The graph of the CPU load as a percentage:
      

      Code Block
      100 * avg without (cpu) (1 - rate(node_cpu_seconds_total{mode="idle"}[1m]))

      
      

3. Click the Execute button (2).
   The Console tab will display all possible values of all elements at the time the query is completed.
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4. When you set a date and time in your calendar, the data will be updated.
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5. To build a graph, go to the Graph tab.
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   In the field 1, set the time interval of the graph. In the field 2, set its end point. In the filed 3, set the interval between the data points. To fill the chart, set the stacked (4) checkbox.