Viewing Service Details

After an AI application is deployed as a real-time service, you can access the service page to view its details.

1. Log in to the ModelArts management console and choose Service Deployment > Real-Time Services.
2. On the Real-Time Services page, click the name of the target service. The service details page is displayed.

   You can view the service name, status, and other information. For details, see Table 1.

   Table 1 real-time service parameters

   Parameter	Description
   Name	Name of the real-time service.
   Status	Status of the real-time service.
   Source	AI application source of the real-time service.
   Service ID	Real-time service ID
   Failed Calls/Total Calls	Number of service calls, which is counted from the time when the service was created. If the number of AI applications is changed or a service is invoked when an AI application is not ready, the number of calls is not counted.
   Description	Service description, which can be edited after you click the edit button on the right side.
   Data Collection	Enable this option to store the data generated when the real-time service is invoked to a specified OBS path.
   WebSocket	Whether to upgrade to the WebSocket service.

3. You can switch between tabs on the details page of a real-time service to view more details. For details, see Table 2.

   Table 2 Details of a real-time service

   Parameter	Description
   Usage Guides	Displays the API URL, AI application information, input parameters, and output parameters. You can click to copy the API URL to call the service.
   Prediction	Performs a prediction test on the real-time service. For details, see Testing the Deployed Service.
   Configuration Updates	Displays Existing Configuration and Historical Updates. Existing Configuration: includes the AI application name, version, status, compute node flavor, the number of compute nodes, and traffic ratio. Historical Updates: displays historical AI application information.
   Monitoring	Displays Resource Usage and AI Application Calls. Resource Usage: includes the used and available CPU, memory, and GPU resources. AI Application Calls: indicates the number of AI application calls. The statistics collection starts after the AI application status changes to Ready. (This parameter is not displayed for WebSocket services.)
   Event	Displays key operations during service use, such as the service deployment progress, detailed causes of deployment exceptions, and time points when a service is started, stopped, or modified. Events are saved for one month and will be automatically cleared then. For details about the event types and event information of services, see What Are the Events and Their Types for a Service?
   Logs	Displays the log information about each AI application in the service. You can view logs generated in the latest 5 minutes, latest 30 minutes, latest 1 hour, and user-defined time segment. You can select the start time and end time when defining the time segment.