Usage Reports

From PrimeHub v3.1, the new feature, Usage Reports, is introduced that administrators can have a overall insight of who/what consumed resources monthly.

Usage is defined by allocated resources, not by actual utilization. For example, when an user opens an Jupyter notebook, the record of the allocated resources is logged in the usage report, even if the user doesn't run any program actually on it. The each record includes the lifetime of a pod, and CPU/GPU/Memory are allocated/occupied for a pod.

Download Report

Click Detailed Report or Summary Report of the month for downloading a csv file or search specific year-month by the format YYYY/M (e.g. 2020/7, 2020/12) in Date search field.

You even can download the report of the current month which is not over yet. It will have a pop-up to inform you that the data of current month is not intact. Just click Confirm for downloading.

Detailed Report

There are some insightful data of usage:

Item	Description
report_month	the report is for which year and month
group	which group which component runs at
user	which user uses resources
component	such as job, notebook, model_deploy
component_name	the name of the component
cpu_core_hours	hours if the computing work runs in a CPU
gpu_core_hours	hours if the computing work runs in a GPU
gb_memory_hours	hours if the computing work uses 1 GB memory
usage_hours	hours the computing work has done
instance_type	instance type
instance_cpu_core	vCPU cores of the instance
instance_gpu_core	GPU cores of instance
instance_memory_gb	memory of the instance
pod_name	name of the pod
k8s_uid	Kubernetes object id
start_time	time pod began running
end_time	time pod finished running
running	if it's still running

Summary Report

There are some insightful data of usage:

Item	Description
report_month	the report is for which year and month
group	which group which component runs at
user	which user uses resources
component	such as job, notebook, model_deploy
gpu_core_hours	hours if the computing work runs in a GPU
cpu_core_hours	hours if the computing work runs in a CPU
gb_memory_hours	hours if the computing work uses 1 GB memory
usage_hours	hours the computing work has done
running	if it's still running