ModelArts Metrics

Description

The cloud service platform provides Cloud Eye to help you better understand the status of your ModelArts real-time services and models. You can use Cloud Eye to automatically monitor your ModelArts real-time services and model loads in real time and manage alarms and notifications so that you can obtain the performance metrics of ModelArts and models.

Namespace

SYS.ModelArts

Monitoring Metrics

**Table 1** ModelArts metrics
Metric ID	Metric Name	Description	Value Range	Monitored Entity	Monitoring Interval
cpu_usage	CPU Usage	CPU usage of ModelArts Unit: %	≥ 0%	ModelArts model loads	1 minute
mem_usage	Memory Usage	Memory usage of ModelArts Unit: %	≥ 0%	ModelArts model loads	1 minute
gpu_util	GPU Usage	GPU usage of ModelArts Unit: %	≥ 0%	ModelArts model loads	1 minute
successfully_called_times	Number of Successful Calls	Times that ModelArts has been successfully called Unit: times/minute	≥ counts/minute	ModelArts models ModelArts real-time services	1 minute
failed_called_times	Number of Failed Calls	Times that ModelArts failed to be called Unit: times/minute	≥ counts/minute	ModelArts models ModelArts real-time services	1 minute
total_called_times	Total Calls	Times that ModelArts is called Unit: times/minute	≥ counts/minute	ModelArts model loads ModelArts real-time services	1 minute
If a measurement object has multiple measurement dimensions, all the measurement dimensions are mandatory when you use an API to query monitoring metrics. The following provides an example of using the multi-dimensional dim to query a single monitoring metric: dim.0=service_id,530cd6b0-86d7-4818-837f-935f6a27414d&dim.1="model_id,3773b058-5b4f-4366-9035-9bbd9964714a The following provides an example of using the multi-dimensional dim to query monitoring metrics in batches: "dimensions": [ { "name": "service_id", "value": "530cd6b0-86d7-4818-837f-935f6a27414d" } { "name": "model_id", "value": "3773b058-5b4f-4366-9035-9bbd9964714a" } ]