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

# ETL: Monitoring Jobs

> How to monitor running and completed Integrate.io ETL jobs using the dashboard, cluster pages, REST API, and webhooks to track progress and failures.

You can monitor jobs that executed or are still running on clusters in the dashboard, on a specific cluster's page, by polling the [API](/etl/integrateio-etls-api/) or using [webhooks](/etl/service-hooks/). In the UI, the following information is displayed for each job:

* the numeric job ID
* name of the package run by the job. Clicking the package name opens the package for editing.
* name of the cluster the job ran/is running on. Clicking the cluster name opens the cluster and its job list.
* job variables. Clicking Job icon displays the evaluated values for the job variables.
* the date submitted and the member who submitted the job or the schedule that initiated the job. Clicking the name displays the member's or schedule's details.
* the duration of the runtime and date/time when the job actually started running
* job status - possible values are:
  * **idle** - the user sent a request to run the job
  * **pending** - the job is initializing
  * **running** - the job is running
  * **done** - the job completed successfully
  * **failed** - the job failed to complete
  * **pending\_stoppage** - the user sent a request to stop the job
  * **stopping** - the job is stopping
  * **stopped** - the job has stopped
* job progress in %.
* the number of MapReduce jobs completed
* job errors for failed jobs (see [To see job error details for failed jobs](/etl/viewing-job-error-details-for-failed-jobs/)).
* outputs for completed (Done) jobs (see [Viewing completed tasks outputs](/etl/viewing-completed-tasks-outputs/)).