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:

ItemDescription

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:

ItemDescription

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

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