> ## Documentation Index
> Fetch the complete documentation index at: https://docs.gpuhub.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Monitoring

> Active retrieval via API inside the container

Use the following code inside the container (container instance or elastic deployment container) to retrieve CPU, memory, and GPU monitoring information.

<CodeGroup>
  ```python Python theme={null}
  import requests
  import json

  # The URL is the same for all containers; use 127.0.0.1 to retrieve
  url = 'http://127.0.0.1:2022/autopanel/v1/api/monitor/current'
  response = requests.get(url)
  content = response.content.decode()
  if response.status_code == 200 and "success" in content:
      metric = json.loads(content)['data']
      print(f"CPU Usage: {metric['cpu_usage']} %")
      print(f"Mem Usage: {metric['memory_usage']} MiB")
      print("GPU Info:")
      gpu_metrics = metric.get('gpu_list', [])
      for gm in gpu_metrics:
          print(f"\tIdx:{gm['index']}  Mem Usage: {gm['memory_used']} MiB  Utilization: {gm['utilization']} %")
  ```
</CodeGroup>