7. V-IPU monitoring

V-IPU exposes critical application monitoring metrics using the OpenMetrics format. Metrics are exposed by two of the V-IPU components:

  1. The V-IPU controller

  2. V-IPU agents (through the V-IPU exporter component)

See Section 2, Concepts and architecture for more information on those components.

Prometheus and InfluxDB (through InfluxDB’s Telegraph product), two of the most popular open-source time-series databases, support the OpenMetrics format for metrics collection. In the following sections you can find more details about exposing metrics from the different V-IPU components, as well as an example V-IPU integration with Prometheus.

7.1. Expose monitoring metrics in V-IPU

7.1.1. V-IPU exporter

One V-IPU exporter instance runs on each IPU-Machine, and it is responsible for exporting monitor metrics for the corresponding IPU-Machine only. The endpoint where the metrics are exported can be found by introspecting the details of the V-IPU agent that corresponds to a specific IPU-Machine. You can do this with the vipu-admin get agent command (Section 8.6.1, Get info about an agent) and look for the “Exporter” line in the output.

A sample output of the vipu-admin get agent for an agent named “ag10” (corresponding to the 10th IPU-Machine in an IPU-POD64) is shown below.

$ vipu-admin get agent ag10
-----------------------------------------------------------------
 Agent ID             | ag10
 Host                 | 10.1.2.10
 Port                 | 8080
 Status               | Up
 Exporter             | http://10.1.2.10:2112/metrics
 Platform             | ipum-p2
 Manufacturer         | Graphcore
 Discovery Mode       | DM_GCDA
 Virm version         | master-1189-1493e2a
 Runtime version      | 1.0.48
 Board serial number  | 8203921-0007
 Part number          | GC-ADA2-00-ES1 Rev. C
 GWSW Version         | 2.0.5
 IPUoF server version | v1.3.3
 HDF Version          | 1.0.1
 HDF Hash             | 1275acb46311f7a46e05f721d73d180c44975e7e
 Num of IPUs          | 4
------------------------------------------------------------------------------------------------------
 IPU         | PCI          | Device | Firmware | Architecture | Num Tiles | Silicon ID
------------------------------------------------------------------------------------------------------
 0           | 0004:01:00.0 | 0      | 2.0.7    | 2 (ipu2)     | 1472      | TAAX82.13.4.9.CC39.3088
 1           | 0003:01:00.0 | 1      | 2.0.7    | 2 (ipu2)     | 1472      | TAAX82.14.3.9.CC39.3268
 2           | 0002:01:00.0 | 2      | 2.0.7    | 2 (ipu2)     | 1472      | TAAX82.25.5.5.CC39.2728
 3           | 0001:01:00.0 | 3      | 2.0.7    | 2 (ipu2)     | 1472      | TAAX82.25.6.10.CC39.2908

In the example command output above, notice that the V-IPU exporter for the particular IPU-Machine is exporting metrics from “http://10.1.2.10:2112/metrics”. If you point your browser or a utility to that URL, you can see all the current values of the metrics that are exported for the corresponding IPU-Machine. For example:

$ curl -s http://10.1.2.10:2112/metrics
# HELP chassis_fan fan speed in RPMS
# TYPE chassis_fan gauge
chassis_fan{fan_id="0_0"} 8716
chassis_fan{fan_id="0_1"} 7677
...
chassis_fan{fan_id="4_0"} 8711
chassis_fan{fan_id="4_1"} 7636
# HELP chassis_power power measurement in Watts
# TYPE chassis_power gauge
chassis_power 310
chassis_power{power_direction="input",psu_id="ps0"} 122
chassis_power{power_direction="input",psu_id="ps1"} 186
chassis_power{power_direction="output",psu_id="ps0"} 82
chassis_power{power_direction="output",psu_id="ps1"} 92
# HELP chassis_temperature temperature measured in DegreesC
# TYPE chassis_temperature gauge
chassis_temperature{temp_sensor_id="exhaust_temp"} 43
chassis_temperature{temp_sensor_id="gw_core_temp"} 64
chassis_temperature{temp_sensor_id="inlet_temp"} 33.5
...
chassis_temperature{psu_id="ps1",temp_sensor_id="inlet"} 39
chassis_temperature{psu_id="ps1",temp_sensor_id="outlet"} 51
# HELP exporter_ticks A tick counter that increases every time the exporter is accessed
# TYPE exporter_ticks counter
exporter_ticks 3100
# HELP gcipuinfo_clock_frequency Current clock frequency
# TYPE gcipuinfo_clock_frequency gauge
gcipuinfo_clock_frequency{device_id="0"} 1330
gcipuinfo_clock_frequency{device_id="1"} 1330
gcipuinfo_clock_frequency{device_id="2"} 1330
gcipuinfo_clock_frequency{device_id="3"} 1330
# HELP gcipuinfo_ipu_error_state IPU error state. 0 if no errors are reported, 1 otherwise
# TYPE gcipuinfo_ipu_error_state gauge
gcipuinfo_ipu_error_state{device_id="0"} 0
gcipuinfo_ipu_error_state{device_id="1"} 0
gcipuinfo_ipu_error_state{device_id="2"} 0
gcipuinfo_ipu_error_state{device_id="3"} 0
# HELP gcipuinfo_parity_error_count_threshold Threshold number of parity errors to promote to a unrecoverable error
# TYPE gcipuinfo_parity_error_count_threshold gauge
gcipuinfo_parity_error_count_threshold{device_id="0"} 2
gcipuinfo_parity_error_count_threshold{device_id="1"} 2
gcipuinfo_parity_error_count_threshold{device_id="2"} 2
gcipuinfo_parity_error_count_threshold{device_id="3"} 2
# HELP gcipuinfo_parity_error_interval_threshold Threshold in seconds at which `num parity errors` are promoted to an uncorrectable error
# TYPE gcipuinfo_parity_error_interval_threshold gauge
gcipuinfo_parity_error_interval_threshold{device_id="0"} 3600
gcipuinfo_parity_error_interval_threshold{device_id="1"} 3600
gcipuinfo_parity_error_interval_threshold{device_id="2"} 3600
gcipuinfo_parity_error_interval_threshold{device_id="3"} 3600
# HELP gw_link_pkt_drop_count Number of dropped packets
# TYPE gw_link_pkt_drop_count counter
gw_link_pkt_drop_count{gwlink="L0", origin="devmem"} 0
gw_link_pkt_drop_count{gwlink="L1", origin="devmem"} 0
# HELP gw_link_rx_ack_count Number of ACKs received
# TYPE gw_link_rx_ack_count counter
gw_link_rx_ack_count{gwlink="L0", origin="driver"} 0
gw_link_rx_ack_count{gwlink="L1", origin="driver"} 0
# HELP gw_link_rx_good_packets_count Number of good packets received
# TYPE gw_link_rx_good_packets_count counter
gw_link_rx_good_packets_count{gwlink="L0", origin="devmem"} 0
gw_link_rx_good_packets_count{gwlink="L1", origin="devmem"} 0
# HELP gw_link_rx_nack_count Number of NACKs received
# TYPE gw_link_rx_nack_count counter
gw_link_rx_nack_count{gwlink="L0", origin="devmem"} 0
gw_link_rx_nack_count{gwlink="L1", origin="devmem"} 0
# HELP gw_link_rx_total_bytes_count Number of total bytes received
# TYPE gw_link_rx_total_bytes_count counter
gw_link_rx_total_bytes_count{gwlink="L0", origin="driver"} 0
gw_link_rx_total_bytes_count{gwlink="L1", origin="driver"} 0
# HELP gw_link_rx_total_packets_count Number of total packets received
# TYPE gw_link_rx_total_packets_count counter
gw_link_rx_total_packets_count{gwlink="L0", origin="driver"} 0
gw_link_rx_total_packets_count{gwlink="L1", origin="driver"} 0
# HELP gw_link_tx_total_packets_count Number of total packets transmitted
# TYPE gw_link_tx_total_packets_count counter
gw_link_tx_total_packets_count{gwlink="L0", origin="driver"} 0
gw_link_tx_total_packets_count{gwlink="L1", origin="driver"} 0
# HELP ipu_attached Whether or not an application process is attached to the device (1 = attached).
# TYPE ipu_attached gauge
ipu_attached{device_id="0"} 0
ipu_attached{device_id="1"} 0
ipu_attached{device_id="2"} 0
ipu_attached{device_id="3"} 0
# HELP ipu_link_err_cnt IPU-Link error counter
# TYPE ipu_link_err_cnt counter
ipu_link_err_cnt{device_id="0",ipu_link="0B"} 0
ipu_link_err_cnt{device_id="0",ipu_link="0C"} 0
...
ipu_link_err_cnt{device_id="3",ipu_link="3B"} 0
ipu_link_err_cnt{device_id="3",ipu_link="3C"} 0
# HELP ipu_tile_clk_speed The frequency which the tiles are currently running (MHz).
# TYPE ipu_tile_clk_speed gauge
ipu_tile_clk_speed{device_id="0"} 1330
ipu_tile_clk_speed{device_id="1"} 1330
ipu_tile_clk_speed{device_id="2"} 1330
ipu_tile_clk_speed{device_id="3"} 1330
# HELP ipum_hardware_info Information about the IPUM hardware
# TYPE ipum_hardware_info gauge
ipum_hardware_info{board_serial_number="8203921-0007",part_number="GC-ADA2-00-ES1 Rev. C",platform="ipum-p2"} 1

7.1.2. V-IPU exporter metrics description

In this section you can find a description of all the metrics exported by the V-IPU exporter.

Table 7.1 Exported metrics

Metric name

Description

chassis_fan

Fan speed in RPMS

chassis_power

Power measurement in watts

chassis_temperature

Temperature measured in Degrees Celsius

exporter_ticks

A tick counter that increases every time the exporter is accessed

gcipuinfo_clock_frequency

IPU clock frequency (in MHz)

gcipuinfo_ipu_error_state

IPU error state. 0 if no errors are reported, 1 otherwise

gcipuinfo_parity_error_count_threshold

Threshold for number of parity errors before an uncorrectable error is promoted

gcipuinfo_parity_error_interval_threshold

Interval for gcipuinfo_parity_error_count_threshold (in seconds)

gw_link_pkt_drop_count

Number of dropped packets

gw_link_rx_ack_count

Number of ACKs received

gw_link_rx_good_packets_count

Number of good packets received

gw_link_rx_nack_count

Number of NACKs received

gw_link_rx_total_bytes_count

Number of total bytes received

gw_link_rx_total_packets_count

Number of total packets received

gw_link_tx_total_packets_count

Number of total packets transmitted

ipu_attached

Indicates whether or not an application process is attached to the device (1 = attached)

ipu_link_err_cnt

IPU-Link error counter

ipu_tile_clk_speed

The frequency which the tiles are currently running (MHz).

ipum_hardware_info

Information about the IPU-Machine hardware

7.2. V-IPU controller

The V-IPU controller has its own built-in exporter that exports metrics for the V-IPU management system. The built-in exporter is disabled by default, but you can enable it by passing the --exporter-activate option to the vipu-server command as explained in Section 8.1, Global options.

When it is enabled, you can see the currently exported metrics by pointing your web browser to the IP address of the machine where the V-IPU controller (vipu-server) is running. The default port used by the built-in exporter is 2113, but this can be changed if needed (see Section 8.1, Global options for more details).

$ curl -s http://vipu-controller:2113/metrics
# HELP exporter_ticks A tick counter that increases every time the exporter is accessed
# TYPE exporter_ticks counter
exporter_ticks 1206
# HELP grpc_agent_latency_hist Communication latency between the VIPU server and VIRM agents, measured in microseconds
# TYPE grpc_agent_latency_hist histogram
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="InfoService/GetInfo",status="success",le="1000"} 24
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="InfoService/GetInfo",status="success",le="2000"} 32
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="InfoService/GetInfo",status="success",le="5000"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="InfoService/GetInfo",status="success",le="10000"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="InfoService/GetInfo",status="success",le="20000"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="InfoService/GetInfo",status="success",le="50000"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="InfoService/GetInfo",status="success",le="100000"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="InfoService/GetInfo",status="success",le="200000"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="InfoService/GetInfo",status="success",le="500000"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="InfoService/GetInfo",status="success",le="1e+06"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="InfoService/GetInfo",status="success",le="2e+06"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="InfoService/GetInfo",status="success",le="5e+06"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="InfoService/GetInfo",status="success",le="1e+07"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="InfoService/GetInfo",status="success",le="+Inf"} 33
grpc_agent_latency_hist_sum{agent="ag09",endpoint="InfoService/GetInfo",status="success"} 34355
grpc_agent_latency_hist_count{agent="ag09",endpoint="InfoService/GetInfo",status="success"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="VersionService/GetVersion",status="success",le="1000"} 6
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="VersionService/GetVersion",status="success",le="2000"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="VersionService/GetVersion",status="success",le="5000"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="VersionService/GetVersion",status="success",le="10000"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="VersionService/GetVersion",status="success",le="20000"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="VersionService/GetVersion",status="success",le="50000"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="VersionService/GetVersion",status="success",le="100000"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="VersionService/GetVersion",status="success",le="200000"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="VersionService/GetVersion",status="success",le="500000"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="VersionService/GetVersion",status="success",le="1e+06"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="VersionService/GetVersion",status="success",le="2e+06"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="VersionService/GetVersion",status="success",le="5e+06"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="VersionService/GetVersion",status="success",le="1e+07"} 33
grpc_agent_latency_hist_bucket{agent="ag09",endpoint="VersionService/GetVersion",status="success",le="+Inf"} 33
grpc_agent_latency_hist_sum{agent="ag09",endpoint="VersionService/GetVersion",status="success"} 39300
grpc_agent_latency_hist_count{agent="ag09",endpoint="VersionService/GetVersion",status="success"} 33
# HELP grpc_user_facing_api_latency_hist User/Admin API endpoint RCP serving latency, measured in microseconds
# TYPE grpc_user_facing_api_latency_hist histogram
grpc_user_facing_api_latency_hist_bucket{endpoint="AdminService/ListAllIPUAttributes",status="success",le="1000"} 0
grpc_user_facing_api_latency_hist_bucket{endpoint="AdminService/ListAllIPUAttributes",status="success",le="2000"} 0
grpc_user_facing_api_latency_hist_bucket{endpoint="AdminService/ListAllIPUAttributes",status="success",le="5000"} 0
grpc_user_facing_api_latency_hist_bucket{endpoint="AdminService/ListAllIPUAttributes",status="success",le="10000"} 1
grpc_user_facing_api_latency_hist_bucket{endpoint="AdminService/ListAllIPUAttributes",status="success",le="20000"} 1
grpc_user_facing_api_latency_hist_bucket{endpoint="AdminService/ListAllIPUAttributes",status="success",le="50000"} 1
grpc_user_facing_api_latency_hist_bucket{endpoint="AdminService/ListAllIPUAttributes",status="success",le="100000"} 1
grpc_user_facing_api_latency_hist_bucket{endpoint="AdminService/ListAllIPUAttributes",status="success",le="200000"} 1
grpc_user_facing_api_latency_hist_bucket{endpoint="AdminService/ListAllIPUAttributes",status="success",le="500000"} 1
grpc_user_facing_api_latency_hist_bucket{endpoint="AdminService/ListAllIPUAttributes",status="success",le="1e+06"} 1
grpc_user_facing_api_latency_hist_bucket{endpoint="AdminService/ListAllIPUAttributes",status="success",le="2e+06"} 1
grpc_user_facing_api_latency_hist_bucket{endpoint="AdminService/ListAllIPUAttributes",status="success",le="5e+06"} 1
grpc_user_facing_api_latency_hist_bucket{endpoint="AdminService/ListAllIPUAttributes",status="success",le="1e+07"} 1
grpc_user_facing_api_latency_hist_bucket{endpoint="AdminService/ListAllIPUAttributes",status="success",le="+Inf"} 1
grpc_user_facing_api_latency_hist_sum{endpoint="AdminService/ListAllIPUAttributes",status="success"} 7255
grpc_user_facing_api_latency_hist_count{endpoint="AdminService/ListAllIPUAttributes",status="success"} 1
grpc_user_facing_api_latency_hist_bucket{endpoint="VersionService/GetVersion",status="success",le="1000"} 24
grpc_user_facing_api_latency_hist_bucket{endpoint="VersionService/GetVersion",status="success",le="2000"} 24
grpc_user_facing_api_latency_hist_bucket{endpoint="VersionService/GetVersion",status="success",le="5000"} 24
grpc_user_facing_api_latency_hist_bucket{endpoint="VersionService/GetVersion",status="success",le="10000"} 24
grpc_user_facing_api_latency_hist_bucket{endpoint="VersionService/GetVersion",status="success",le="20000"} 24
grpc_user_facing_api_latency_hist_bucket{endpoint="VersionService/GetVersion",status="success",le="50000"} 24
grpc_user_facing_api_latency_hist_bucket{endpoint="VersionService/GetVersion",status="success",le="100000"} 24
grpc_user_facing_api_latency_hist_bucket{endpoint="VersionService/GetVersion",status="success",le="200000"} 24
grpc_user_facing_api_latency_hist_bucket{endpoint="VersionService/GetVersion",status="success",le="500000"} 24
grpc_user_facing_api_latency_hist_bucket{endpoint="VersionService/GetVersion",status="success",le="1e+06"} 24
grpc_user_facing_api_latency_hist_bucket{endpoint="VersionService/GetVersion",status="success",le="2e+06"} 24
grpc_user_facing_api_latency_hist_bucket{endpoint="VersionService/GetVersion",status="success",le="5e+06"} 24
grpc_user_facing_api_latency_hist_bucket{endpoint="VersionService/GetVersion",status="success",le="1e+07"} 24
grpc_user_facing_api_latency_hist_bucket{endpoint="VersionService/GetVersion",status="success",le="+Inf"} 24
grpc_user_facing_api_latency_hist_sum{endpoint="VersionService/GetVersion",status="success"} 811
grpc_user_facing_api_latency_hist_count{endpoint="VersionService/GetVersion",status="success"} 24
# HELP vipu_num_agents Number of agents currently managed by the VIPU server
# TYPE vipu_num_agents gauge
vipu_num_agents 16
# HELP vipu_num_allocations Number of allocations currently active
# TYPE vipu_num_allocations gauge
vipu_num_allocations 1
# HELP vipu_num_clusters Number of clusters currently active
# TYPE vipu_num_clusters gauge
vipu_num_clusters 1
# HELP vipu_num_partitions_total Number of partitions currently active
# TYPE vipu_num_partitions_total gauge
vipu_num_partitions_total 1
Table 7.2 V-IPU controller metrics description

Metric name

Description

exporter_ticks

A tick counter that increases every time the exporter is accessed

grpc_agent_latency_hist

Provides a histogram of the communication latency per API-endpoint between the V-IPU server and V-IPU agents, measured in microseconds. Note this is not the latency of the user facing APIs, but the internal communication latency between the V-IPU controller and the V-IPU agent

grpc_user_facing_api_latency_hist

Provides a histogram of the time it takes to serve user facing API endpoint requests. This includes all the communication from command line tools or third party integrations to the V-IPU controller, both for the User and Admin APIs

vipu_num_agents

Number of V-IPU agents currently managed by the VIPU server

vipu_num_allocations

Number of allocations currently active

vipu_num_clusters

Number of clusters currently active

vipu_num_partitions_total

Number of partitions currently active

7.3. Example V-IPU / Prometheus integration

This section assumes that you are familiar with Prometheus. The scope is to provide a simple example integration where Prometheus scrapes and stores metrics from a V-IPU system. The metrics can then be visualised with an observability platform of your choice, like Grafana. For more information about Prometheus, including the Prometheus configuration file and query language (PromQL), consult the Prometheus documentation.

7.3.1. Prometheus configuration

In the following Prometheus configuration sample file make sure you change the line - 'vipu-server:2113' to point to the address:port where the built-in exporter of your V-IPU controller is running. Also make sure that the directory /prometheus-config is readable by the prometheus process, and writable by the vipu-server process. We’ll need this in the next steps.

Listing 7.1 prometheus.yml
---
global:
  # Scrape all targets for metrics every 10 seconds
  scrape_interval: 10s

scrape_configs:
  - job_name: vipu-agent-exporters
    file_sd_configs:
      - files:
          # File containing the list of vipu-exporters to scrape
          - /prometheus-config/vipu-agent-exporter-targets.json
    relabel_configs:
      # Reading hosts that look like this: host:port/metrics-path
      # and changes the __metrics_path__ to /metric-path
      # and the __address__ to host:port.
      # Introducing a new host label as well.
      - source_labels: [__address__]
        regex: '.+(/.*)$'               # capture '/...' part
        target_label: __metrics_path__  # change metrics path
      - source_labels: [__address__]
        regex: '(^.+)/.*'               # capture host:port
        target_label: __address__       # change target
      - source_labels: [__address__]
        regex: '(.+):.*'                # capture host
        target_label: host              # add a new host label
  - job_name: vipu-exporter
    static_configs:
      - targets:
          # scrape the vipu-server
          - 'vipu-server:2113'
          # scrape prometheus server itself
          - 'localhost:2113'

Download: prometheus.yml

Save the above configuration file to a file named prometheus.yml and start the Prometheus service with the following command. This will instruct Prometheus to load the configuration file we just created and store the metrics in the DB for 15 days (15d).

$ Prometheus \
        --config.file=prometheus.yml \
        --storage.tsdb.retention.time=15d

Open your browser and check the Prometheus targets that are getting scraped by Prometheus at this point. There should be two targets:

  1. The V-IPU controller

  2. The Prometheus instance itself

_images/prometheus-1.png

Fig. 7.1 Graphical user interface

We are still not scraping metrics from any IPU-Machines. We will now do that by manually adding the IPU-Machine entries that we want to be scraped by Prometheus into the /prometheus-config/vipu-agent-exporter-targets.json file that we defined in the prometheus.yml configuration file above. To find the V-IPU exporter endpoint that Prometheus will scrape, read the section Section 7.1.1, V-IPU exporter. Add one or more entries in the format shown by the example below and save the file as /prometheus-config/vipu-agent-exporter-targets.json.

Listing 7.2 vipu-agent-exporter-targets.json
[
  {
    "targets": [
      "10.1.2.9:2112/metrics"
    ],
    "labels": {
      "agent_id": "ag09"
    }
  },
  {
    "targets": [
      "10.1.2.10:2112/metrics"
    ],
    "labels": {
      "agent_id": "ag10"
    }
  }
]

Note that after you save the file /prometheus-config/vipu-agent-exporter-targets.json, you don’t need to restart Prometheus. Prometheus will monitor this file for changes and try to scrape any new targets that are added or removed. If you check the Prometheus targets now, you should see four targets that are getting scraped:

  1. The V-IPU controller

  2. The Prometheus instance itself

  3. The V-IPU exporter from the IPU-Machine 10.1.2.9

  4. The V-IPU exporter from the IPU-Machine 10.1.2.10

One important thing to remember at this point is that Prometheus will always try to make direct contact with the scrape targets. That means that Prometheus should have direct access to the IPU-Machines 10.1.2.9 and 10.1.2.10 that were added in this example.

7.3.2. V-IPU controller / Prometheus integration

The V-IPU controller supports auto-generating the /prometheus-config/vipu-agent-exporter-targets.json file that we edited manually in the Prometheus Configuration section.

If you start vipu-server with the option --prometheus-sd-config-file=/prometheus-config/vipu-agent-exporter-targets.json, the V-IPU controller will automatically update the corresponding configuration file when agents are created or removed with the vipu-admin create agent or vipu-admin remove agent commands. Then the Prometheus server will pick up and start scraping new IPU-Machines that are added in the V-IPU management system, or forget decommissioned ones that are removed. If the Prometheus server is running in a different machine than the one where the V-IPU controller is running, the --prometheus-sd-config-file must be shared over a network file system.

$ vipu-server --exporter-activate \
     --prometheus-sd-config-file=/prometheus-config/vipu-agent-exporter-targets.json

7.3.3. Using Grafana for visualization

Promethus supports using Grafana for creating dashboards for visualization, described in https://prometheus.io/docs/visualization/grafana/