Releasesby GlyphAutomate work with Otto Routines
Otto Routines run Otto unattended when a Dag fails or on a schedule, and send the result to your email and Slack notification channels. You can write your own instructions or start from one of the managed Routines that Astronomer maintains: Investigate Dag failures and Daily ops report . To create a Routine, go to Build > Routines in the Astro UI.
Also shipped Nov 12, 2026Astronomer in November 2026 →
Genie ZeroOps is available in Beta
Genie ZeroOps is now in beta, providing automated monitoring for jobs, pipelines, and tables. It detects failures and data quality issues, investigates root causes, and proposes fixes.
You can track table-level data lineage in Knowledge Catalog for BigQuery pipelines
You can track table-level data lineage in Knowledge Catalog for BigQuery pipelines. For more information, see Track data lineage . This feature is generally available (GA).
BigQuery generative AI functions now support the gemini-4-hydrogen model
BigQuery generative AI functions now support the gemini-4-hydrogen model. This model is generally available .
Amazon Aurora and RDS now support Graviton5-based R9g database instances
AWS Graviton5-based R9g database instances are now generally available for Amazon Aurora with PostgreSQL compatibility and MySQL compatibility, and for Amazon RDS for PostgreSQL, MySQL, and MariaDB.
[In preview] Public Preview: SQL performance monitoring for Azure SQL Managed Instance
The public preview of Microsoft-managed performance monitoring for Azure SQL Managed Instance is now available. Customers monitoring business-critical SQL Managed Instance workloads often rely on custom scripts and disconnected monitoring tools. This requ
Gemini Enterprise: Gemini 4 Hydrogen available in web app, mobile app, Workflow Builder, and AI developer tools
Gemini 4 Hydrogen is generally available (GA) for the Gemini Enterprise web app, mobile app, Workflow Builder, and AI developer tools. Location availability : Supported in global , us , and eu multi-regions, with data residency and ML processing support in us and eu . For more information, see Data residency for Gemini Enterprise .
More from AstroEvery Astro release →
Set Astro AI spend limits for users and API tokens
You can now set a monthly Astro AI spend limit for each user and each API token in your Organization, in addition to the Organization total spend limit: The Per-User spend limit and the Per-API Token spend limit apply to every user and API token that doesn't have a limit of its own.
API server autoscaling is generally available
API server autoscaling for Airflow 3 deployments is now generally available. It automatically adjusts replicas based on CPU utilization.
Run GPU workloads with the KubernetesPodOperator
Astronomer Astro now supports executing GPU workloads on AWS by requesting NVIDIA GPU node pool resources within KubernetesPodOperator tasks.
Roll back one bundle to an earlier version
Each bundle on a Deployment now records a version history, and you can roll one bundle back to a version in that history. Your project image, your Astro Runtime version, and every other bundle stay as they are. Previously, the only way to undo a change to one bundle was to roll back the whole Deployment.
View Astro Runtime upgrade progress in the Astro UI
The Astro UI now provides a progress card and dedicated logs for Airflow database migrations during runtime upgrades.
The Astro v1 Labs API includes every Astro API v1 endpoint
The Astro v1 Labs API now serves all standard v1 endpoints under a unified base URL. This allows integrations to use a single base URL for both Labs and production endpoints.
Additional improvements
Users can now create AWS dedicated clusters in the eu-west-3 (Paris) region.
Deployment hibernation is generally available
Deployment hibernation is now generally available on Astro, allowing users to scale development deployment resources to zero on a schedule or on demand.