Querying Service Monitoring Details

You can use the API to query the monitoring information about a service.

Sample Code

In the ModelArts notebook instance, you do not need to enter authentication parameters for session authentication. For details about session authentication of other development environments, see Session Authentication.

• Method 1: Query the monitoring information about the service created in Deploying a Real-Time Service.

  from modelarts.session import Session
  from modelarts.model import Predictor
  session = Session()
  predictor_instance = Predictor(session, service_id="input your service_id")
  predictor_monitor = predictor_instance.get_service_monitor()
  

• Method 2: Query the monitoring information about the service object returned in Querying the List of Service Objects.

  from modelarts.session import Session
  from modelarts.model import Predictor
  session = Session()
  predictor_object_list = Predictor.get_service_object_list(session)
  predictor_instance = predictor_object_list[0]
  predictor_monitor = predictor_instance.get_service_monitor()
  

Parameter Description

Table 1 get_service_monitor response 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

Table 2 monitor parameters corresponding to real-time

Parameter	Type	Description
model_id	String	Model ID
model_name	String	Model name
model_version	String	Model version
invocation_times	Number	Total number of model instance calls
failed_times	Number	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 MBs
cpu_memory_total	Integer	Total memory, in MBs
gpu_usage	Float	Number of used GPUs
gpu_total	Float	Total number of GPUs

last updated: 2024-12-11 13:55 UTC - commit: afb4a7dfa15e256dc933e946d9e874db041cb35c