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Monitoring capacity usage by executions with detailed consumption reports

With the Data Capacity Reporting App of Qlik Cloud, you can monitor the capacity consumption by the Job executions in Talend Management Console.

The app allows you to monitor the consumption of the monthly capacity for your tenants at both consolidated and detailed levels, gaining insights about how you are consuming the resources of your Talend Management Console accounts or tenants.

This consumption is measured by number of executions and duration of executions, showing current capacity and historical monthly usage.

Job executions

Job executions refer to Job task runs in Talend Management Console.

The Job Executions page presents your current month's usage of the capacity, overview of historical usage of last 12 months, and detailed usage of up to last 3 months.

Only started executions are taken into account for this measurement. Therefore, an execution that fails to deploy does not count. For the started executions, those with the Failed status (DEPLOY_FAILED and EXECUTION_FAILED in API responses) are also excluded from the measurement, thus consuming none of your capacity.

  • Usage overview:

    The bar charts provide a consolidated overview of all your tenants, without the option to filter them by individual tenants.

    As indicated in the legend of the charts, the dotted line represents the maximum capacity you expected to consume, and any part of the bar that exceeds this line turns red.

    The bar charts of a consolidated view of Job executions.
  • Detailed view:

    For detailed usage, you can filter information by months, tenants, environments, workspaces, and engines.

    The detailed view of the capacity usage.

Job duration

Job duration refers to the execution time of a Job task in Talend Management Console.

Along with Job executions, the total duration of your Job executions also serves as a value meter to measure your monthly capacity consumption.

The view of the Job duration metrics has the same layout, filters, and timeframe limitations as the Job Executions view, with the following distinguished characteristics:
  • Only the failed punctual executions are excluded from the measurement. Streaming Jobs, including Routes, data service Jobs, and Spark streaming Jobs, are always taken into account. A failed streaming Job task is considered to be completed.
  • The measurement for streaming Jobs is adjusted at the end of each month. This means you see the actual duration consumption by these Jobs during the ongoing month, but only 10% of that consumption is ultimately counted towards your capacity usage when the month ends.
The Job duration view to measure capacity consumption

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