doc-exports/docs/modelarts/api-ref/modelarts_03_0087.html

Querying Service Monitoring Information

Function

This API is used to query service monitoring information.

URI

GET /v1/{project_id}/services/{service_id}/monitor

Table 1 describes the required parameters.

Table 1 Parameters

Parameter	Mandatory	Type	Description
project_id	Yes	String	Project ID. For details about how to obtain a project ID, see Obtaining a Project ID and Name.
service_id	Yes	String	Service ID

Table 2 Parameters

Parameter	Mandatory	Type	Description
node_id	No	String	ID of the node to be obtained. By default, all nodes are obtained.

Request Body

None

Response Body

Table 3 describes the response parameters.

Table 3 Parameters

Parameter	Type	Description
service_id	String	Service ID
service_name	String	Service name
monitors	monitor array corresponding to infer_type of a service	Monitoring details If infer_type is set to real-time, see Table 4.

Table 4 monitor parameters of real-time

Parameter	Type	Description
model_id	String	Model ID
model_name	String	Model name
model_version	String	Model version
invocation_times	Long	Total number of model instance calls
failed_times	Long	Number of failed model instance calls
cpu_core_usage	Float	Number of used CPUs
cpu_core_total	Float	Total number of CPUs
cpu_memory_usage	Integer	Used memory, in MB
cpu_memory_total	Integer	Total memory, in MB
gpu_usage	Float	Number used GPUs
gpu_total	Float	Total number of GPUs

Samples

The following shows how to query the monitoring information about a real-time service.

• Sample request

  GET    https://endpoint/v1/{project_id}/services/{service_id}/monitor

• Sample response

  {
      "service_id": "xxx",
      "service_name": "mnist",
      "monitors": 
      [{
          "model_id": "xxxx",
          "model_name": "minst",
          "model_version": "1.0.0",
          "invocation_times": 50,
          "failed_times": 1,
          "cpu_core_usage": "2.4",
          "cpu_core_total": "4",
          "cpu_memory_usage": "2011",
          "cpu_memory_total": "8192",
          "gpu_usage": "0.6",
          "gpu_total": "1"
     } ]
  }

Status Code

For details about the status code, see Table 1.

Parent topic: Service Management