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View execution history

Serverless Security Preview

Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud.

Availability

  • Preview

    This functionality is in technical preview and is ready for evaluation. Use with caution in production; it is not recommended for mission-critical workloads. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features. Specific Support terms apply.

Stack Planned

The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats.

Availability

  • Planned

    We plan to add this functionality in a future Elastic Stack update. Subject to changes.

Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments.

This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.

Each time a Worker runs, Kibana records the run. Use the execution history to check that a Worker is running on schedule, to see what a run did, and to find out why a run failed. The history includes scheduled runs and runs that you start yourself.

  1. Find Watches in the navigation menu or use the global search field.
  2. Open the Watch that contains the Worker.
  3. In the Worker's settings, select View executions. The Worker's execution history opens in the workflow editor.
  4. Select a run to see its logs, including what each step did.

If a run fails, open it and find the step with the error indicator to see what went wrong. For troubleshooting steps, refer to Monitor workflow execution.

To see what a run produced, such as proposed actions, refer to Work in AlertZero.

Note

Runs that you start from the workflow editor are test runs. They're saved with a flask badge, so you can tell them apart from scheduled runs and from runs that you start from the workflow list. Refer to Use the YAML editor > Test runs and production runs.