README.md

RiseML Kubernetes Monitor

This component monitors new PODs on a node and publishes utilization stats of PODs to a queue. Using the NVML library it reports detailed GPU statistics like temperature and additional information like the used NVIDIA driver version and exact model and serial number of installed GPUs.

Published Node Information

The following information is sent on startup:

{  
   "name":"ip-172-31-30-80",
   "gpus":[  
      {  
         "name":"Tesla V100-SXM2-16GB",
         "mem":16936861696,
         "serial":"0322917092147",
         "device":"/dev/nvidia0"
      }
   ],
   "memory":62879860000,
   "cpus":4,
   "nvidia_driver":"384.90",
   "cpu_model":"Intel(R) Xeon(R) CPU E5-2686 v4 @ 2.30GHz"
}

Utilization Stats

The following messages are sent while a POD is running:

GPU utilization:

{  
   "job_id":"0408f010-bb08-11e7-965a-0a580af4f059",
   "gpus":{  
      "/dev/nvidia0":{  
         "temperature":60,
         "power_limit":249,
         "memory_utilization":31,
         "gpu_utilization":67,
         "memory_free":520421376,
         "name":"Tesla V100-SXM2-16GB",
         "device_minor":0,
         "power_draw":107,
         "memory_total":16936861696,
         "device_bus_id":"0000:00:1E.0",
         "fan_speed":null,
         "memory_used":11475156992
      }
   },
   "timestamp":1509103012437
}

CPU/memory utilization:

{  
   "job_id":"0408f010-bb08-11e7-965a-0a580af4f059",
   "percpu_percent":[  
      96.71262123755025,
      97.95838776488651,
      95.34449857171664,
      95.66360231475599
   ],
   "memory_limit":64388976640,
   "timestamp":1509103012109,
   "memory_used":1828540416,
   "cpu_percent":385.6786764857881
}