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| Display instance information, such as the Chinese and English names, purpose, and description. |
| Monitor basic performance metrics of the instance, such as CPU, network, and disk. This feature can help you learn the overall load and resource consumption of instances. |
| Monitor the operating system of the instance, including its CPU, memory, disk, network, and network interface. This can help you to obtain deeper and more accurate information about instance operations. |
| Monitor the TCP connection state of the instance operating system. Monitoring metrics include TCP bytes sent/received and connection retransmission count for connections between local and remote IP addresses. This can help you timely detect the TCP connection state of the instance operating system. |
| Active internal processes within ECS instances are monitored in real time, including metrics such as CPU usage and memory usage. This allows you to learn the system resource consumption of processes and to timely identify resource-intensive processes. This feature also offers visual monitoring of the number of key processes after you manually add such processes. |
| Only monitor the metrics of GPU instances, such as GPU utilization rate, GPU memory utilization rate, and GPU temperature. This can help you easily learn about instance information, such as GPU memory usage and GPU utilization rate. |
| Only monitor the RDMA network metrics of GPU Compute Service (GPU) instances. Monitoring metrics include RDMA network inflow/outflow rate, the number of received/sent RDMA data packets, the number of RDMA network outbound/inbound suspended packets, and other metrics. This feature can help you learn RDMA network-related information of instances. |