Viewing Service Details¶
After an AI application is deployed as a real-time service, you can access the service page to view its details.
Log in to the ModelArts management console and choose Service Deployment > Real-Time Services.
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.
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 :ref:`What Are the Events and Their Types for a Service? <modelarts_01_0023>`
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.