Monitoring Data

GET

/ai_labs/organization/{Organization_Id}/metrics/

curl --request GET \
  --url 'https://api.e2enetworks.com/myaccount/api/v1/gpu/ai_labs/organization/{Organization_Id}/metrics/?location=<LOCATION>&node_name=spk-4h100-hgx-10&interval=5m&apikey=<API_KEY>' \
  --header 'Authorization: Bearer <API_TOKEN>'

import requests

response = requests.get(
    "https://api.e2enetworks.com/myaccount/api/v1/gpu/ai_labs/organization/{Organization_Id}/metrics/",
    params={"location": "<LOCATION>", "node_name": "spk-4h100-hgx-10", "interval": "5m", "apikey": "<API_KEY>"},
    headers={"Authorization": "Bearer <API_TOKEN>"},
)
print(response.json())

const url = new URL("https://api.e2enetworks.com/myaccount/api/v1/gpu/ai_labs/organization/{Organization_Id}/metrics/");
url.search = new URLSearchParams({ location: "<LOCATION>", node_name: "spk-4h100-hgx-10", interval: "5m", apikey: "<API_KEY>" });

const response = await fetch(url, {
  method: "GET",
  headers: { "Authorization": "Bearer <API_TOKEN>" },
});
console.log(await response.json());

Note: AI Labs is currently available only in the Delhi region. Get monitoring metrics for organization resources

Parameters

Path Parameters

Organization_Id

required

integer

Organization ID

Query Parameters

location

required

string

Allowed values: Delhi Chennai

Location

active_iam

integer

Active IAM ID (To access contact person account) Find your Active IAM ID here

node_name

required

string

Name of the node to retrieve metrics for

Example

spk-4h100-hgx-10

interval

required

string

Allowed values: 1m 5m 15m 30m 1h

Time interval for metrics aggregation

Example

5m

Responses

200

Successfully retrieved node metrics

application/json

object

code

integer

data

object

node_memory_MemTotal_bytes

object

time_series

Array<string>

value_series

Array<string>

node_cpu_seconds_total

object

time_series

Array<string>

value_series

Array<string>

node_disk_read_bytes_total

object

time_series

Array<string>

value_series

Array<string>

node_disk_written_bytes_total

object

time_series

Array<string>

value_series

Array<string>

gpu_memory_util

object

key

additional properties

object

time_series

Array<string>

value_series

Array<string>

gpu_power_usage

object

key

additional properties

object

time_series

Array<string>

value_series

Array<string>

gpu_temperature

object

key

additional properties

object

time_series

Array<string>

value_series

Array<string>

gpu_util

object

key

additional properties

object

time_series

Array<string>

value_series

Array<string>

errors

object

message

string

Example

{
  "code": 200,
  "data": {
    "node_memory_MemTotal_bytes": {
      "time_series": [
        "02:17:18PM"
      ],
      "value_series": [
        "1.9148718093873627"
      ]
    },
    "node_cpu_seconds_total": {
      "time_series": [
        "02:17:18PM"
      ],
      "value_series": [
        "0.286718749999304"
      ]
    },
    "node_disk_read_bytes_total": {
      "time_series": [
        "02:17:18PM"
      ],
      "value_series": [
        "10928503296"
      ]
    },
    "node_disk_written_bytes_total": {
      "time_series": [
        "02:17:18PM"
      ],
      "value_series": [
        "38315643904"
      ]
    },
    "gpu_memory_util": {
      "additionalProperty": {
        "time_series": [
          "02:17:18PM"
        ],
        "value_series": [
          "0"
        ]
      }
    },
    "gpu_power_usage": {
      "additionalProperty": {
        "time_series": [
          "02:17:18PM"
        ],
        "value_series": [
          "69.512"
        ]
      }
    },
    "gpu_temperature": {
      "additionalProperty": {
        "time_series": [
          "02:17:18PM"
        ],
        "value_series": [
          "33"
        ]
      }
    },
    "gpu_util": {
      "additionalProperty": {
        "time_series": [
          "02:17:18PM"
        ],
        "value_series": [
          "0"
        ]
      }
    }
  },
  "errors": {},
  "message": "Success"
}