- Print
- PDF
Monitoring
- Print
- PDF
Available in VPC
This page describes how to monitor batch jobs and apps submitted from Data Forest.
In the Monitoring menu, you can check the batch job status executed in Data Forest and resource usage as well as monitor apps created in Data Forest.
Batch job monitoring
The following describes how to view indicators for a batch job.
From the NAVER Cloud Platform console, click the Services > Big Data & Analytics > Data Forest > Monitoring menus, in that order.
Click the [Batch] tab.
Select the account that executed the batch job.
Check the account's batch status.
Item Description Status The batch job's status ID The unique ID value of the batch job executed Batch name The batch job's name Queue Information of the queue requested by the batch job Start time The date and time when the batch job started End time The date and time when the batch job ended Execution time The uptime of the batch job
Batch resource monitoring
You can check the indicators for the resource usage used by the batch (excluding app resources). Select an account by which the batch was executed to see graphic indicators of average memory usage for the last day, week, and month.
The following describes how to view batch resource usage indicators.
- From the NAVER Cloud Platform console, click the Services > Big Data & Analytics > Data Forest > Monitoring menus, in that order.
- Click the [Batch - resource] tab.
- Select the account where the batch was executed.
- Check the memory usage.
App resource monitoring
The following describes how to view resource usage indicators for apps created by the user.
From the NAVER Cloud Platform console, click the Services > Big Data & Analytics > Data Forest > Monitoring menus, in that order.
Click the [App] tab.
Select the account and the app.
Check the app information.
Item Description App name App name Queue The information for the queue where the app is running Status The app's status information Start time The date and time when the app started End time The date and time when the app ended Run time The uptime of the app allocated memory(MB) The amount of the memory assigned to the app. (unit: MB) The value shows as -1 for the apps that have been ended. allocated cpu(vcpu) The number of vCPUs assigned to the app. The value shows as -1 for the apps that have been ended. memorySeconds(s) The amount of time for which the memory was assigned to the app (unit: second) vcoreSeconds(s) The amount of time for which the CPU was assigned to the app (unit: second)
- If the app status is Running, then it will show up in the app list.
- The status of the apps that have been ended or deleted is displayed as Finished.
- Apps are displayed in the list for 24 hours after they are ended or deleted.
AI app resource monitoring
The resource usage indicators for the AI apps submitted by the user can be viewed. The AI app's information is displayed only when the AI app was run in the last 24 hours.
The following describes how to monitor resource usage of a AI app.
From the NAVER Cloud Platform console, click the Services > Big Data & Analytics > Data Forest > Monitoring menus, in that order.
Click the [AI app] tab.
Select the account that has created the AI app.
View the AI app's indicators.
Item Description App name The AI app's name Queue The information for the queue where the AI app is running Status The AI app's status information Start time The date and time when the AI app started End time The date and time when the AI app ended Run time The uptime of the AI app allocated memory(MB) - The amount of the memory assigned to the AI app (unit: MB)
- Indicated as -1 for the closed appsallocated cpu(Vcore) - The number of vCores assigned to the AI app
- Indicated as -1 for the closed appsallocated gpu - The number of GPUs assigned to the AI app
- Indicated as -1 for the closed appsmemory*Seconds The memory assigned to the AI app (MB) x time assigned (second) vcore*Seconds The number of vCores assigned to the AI app x time assigned (second) gpu*Seconds The number of GPUs assigned to the AI app x time assigned (second)