> For the complete documentation index, see [llms.txt](https://docs.cloudeka.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cloudeka.ai/deka-gpu-mlops/recurring-runs.md).

# Recurring Runs

The **Recurring Runs** menu is used to execute pipelines periodically based on a predefined schedule. It is useful for tasks that require repeated execution, such as retraining a model with new data, evaluating a deployed model, or monitoring model performance. On the Cloudeka Deka MLOps Service Portal page, select the **Recurring Runs** menu.

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In this section, two options are available.

<figure><img src="/files/ZQtE16CxnIYyJJ26cpcg" alt=""><figcaption></figcaption></figure>

a. **+Create Recurring Run**

This option allows you to create a new recurring run. By selecting this option, you can configure a pipeline to run at specified intervals. This is useful for tasks that need to be executed regularly, such as data processing or model training. You are prompted to provide details such as the pipeline to be used, the run frequency, and any parameters required for execution.

b. **Refresh**

This option is used to refresh the list of recurring runs displayed on the page. By clicking **Refresh**, you can ensure that the displayed information is up to date, including newly created recurring runs or changes made to existing runs. This is particularly useful in dynamic environments where recurring runs are frequently created, modified, or completed.