Reference > PyDo > Library Reference > monitoring > get_lb_droplets_http_response_time_95p()

Was this page helpful?

Give Feedback

pydo.monitoring.get_lb_droplets_http_response_time_95p()

Generated on 25 November 2024 from pydo version v0.6.0

Description

To retrieve Droplets 95th percentile HTTP response time in seconds for a given load balancer, send a GET request to /v2/monitoring/metrics/load_balancer/droplets_http_response_time_95p.

Parameters

Name	Type	Required	Description	Default Value
`lb_id`	string	True	A unique identifier for a load balancer.
`start`	string	True	UNIX timestamp to start metric window.
`end`	string	True	UNIX timestamp to end metric window.

Responses

See the API spec for this endpoint to view additional detail on responses, headers, parameters, and more.

200
401
429
500
default

The response will be a JSON object with a key called data and status.

Click to expand an example response.

{
  "data": {
    "result": [
      {
        "metric": {
          "host_id": "19201920"
        },
        "values": [
          [
            1435781430,
            "1"
          ],
          [
            1435781445,
            "1"
          ]
        ]
      },
      {
        "metric": {
          "host_id": "19201920"
        },
        "values": [
          [
            1435781430,
            "1"
          ],
          [
            1435781445,
            "1"
          ]
        ]
      }
    ],
    "resultType": "matrix"
  },
  "status": "success"
}

Unauthorized

Click to expand an example response.

{
  "id": "unauthorized",
  "message": "Unable to authenticate you."
}

API Rate limit exceeded

Click to expand an example response.

{
  "id": "too_many_requests",
  "message": "API Rate limit exceeded."
}

Server error.

Click to expand an example response.

{
  "id": "server_error",
  "message": "Unexpected server-side error"
}

Unexpected error

Click to expand an example response.

{
  "id": "example_error",
  "message": "some error message"
}