🚨 New in Maia: Pipeline duration anomaly alerts, iterator improvements, and GitLab API support

Welcome back to the Maia New Features Blog! This week, we're bringing you proactive pipeline anomaly detection, better iterator visibility, and GitLab API support, all designed to give you greater control and insight into your workflows. For a full list of recent changes, be sure to check our changelog updates.

⏱️ Monitor pipeline run duration with new anomaly alerts

Maia now provides early warning alerts when your pipelines take longer or shorter than expected to complete, helping you catch performance issues before they impact your business operations.

For every scheduled or API pipeline run, Maia compares the duration against its historical baseline and fires an anomaly alert if it falls outside the statistically normal range. You'll receive two types of alerts:

• Run is taking longer than expected: Fires mid-run, so if a pipeline is hanging, you find out while it's happening, not after a timeout.
• Run finished unusually quickly: Detected at completion, useful for identifying unexpected data volume drops or processing being skipped silently.

Alerts include the actual duration, the expected range, and how far outside it the run fell, making them immediately actionable. Learn more about pipeline duration anomaly alerts in our documentation

🔄 See iterator variable names and values in task history

We've made a valuable improvement to all iterators in Maia – the new "Record values in task history" parameter allows you to print the names and values of variables used in each iteration directly in the task history tab in Designer and in the Observability dashboard.

This gives you better visibility into your pipeline execution, making it easier to debug and monitor iterator performance. You'll now have clear insight into exactly what variables are being processed during each iteration cycle.

🔗 GitLab repositories now supported via the API

You can now associate a GitLab repository to a project directly through Maia's public API, eliminating the need to use the UI for project creation.

Previously, the Project Provisioning API endpoints only supported GitHub and Azure DevOps. With this expansion, you have more flexibility in how you manage your version control integration with Maia.

Read the documentation for detailed setup instructions.

💬 We'd love to hear from you!

Let us know how these new features are improving your workflows—we're all ears! Feel free to add any comments or questions below.

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