Billing API added to the Astro v1 Labs API
Enterprise+ Organizations can now query Astro cost and usage data programmatically through the new List daily usage endpoint on the Astro v1 Labs API , which returns per-Deployment resource cost data with a FOCUS-formatted response option.
Also shipped Aug 13, 2026Astronomer in August 2026 →
BigQuery pipelines add automated metadata enrichment in preview
Semantic metadata defined in SQLX configurations now syncs with Knowledge Catalog, and the Data Engineering Agent can generate this metadata from your intent or context.
Sharing tables backed by default storage will be enabled by default for all accounts
OpenSharing support for tables backed by default storage is generally available and on by default for most accounts. For most Enterprise or Premium tier accounts, Databricks will enable it automatically in mid-September 2026, and by early 2027 for the rest.
Expanded networking billing for OpenSharing SecureConnect
Databricks will be expanding networking billing for OpenSharing SecureConnect. Today, data providers are billed for data transfer (egress) when recipients access shared data through SecureConnect. Additional charge types and access scenarios, including charges billed to recipients, are planned.
OpenSharing SecureConnect will be available by default for all accounts
OpenSharing SecureConnect is generally available and available by default for accounts on the Premium plan. For accounts on the Enterprise plan, Databricks will enable it automatically in mid-September 2026, and by early 2027 for the rest.
Block or redact sensitive data in requests and responses
The Sensitive Data Detection guardrail (Beta) detects structured sensitive data (such as Social Security numbers, credit card numbers, IBANs, and phone numbers) and either blocks the interaction or redacts the matched values in place.
Smart Routing: Cut AI costs by routing each task to the right model
Smart Routing (Beta) automatically picks the right model and agent harness for each task, based on complexity, permissions, and budget. It shifts routine work to lower-cost models and reserves frontier models for hard problems, and every routing decision is visible and auditable.
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Cross-region disaster recovery for Azure dedicated clusters is generally available
Self-service cross-region disaster recovery (DR) for Azure dedicated clusters is now generally available, which means DR is now available on all three cloud providers. You can configure a primary and a secondary dedicated cluster in different Azure regions, and fail over with minimal downtime and data loss.
Cross-region disaster recovery for GCP dedicated clusters is generally available
Self-service cross-region disaster recovery (DR) for GCP dedicated clusters is now generally available. You can configure a primary and a secondary dedicated cluster in different GCP regions, and fail over with minimal downtime and data loss.
Task-level utilization metrics
Astro now shows CPU and memory utilization at the Dag, task, and task instance level in a new Resource Metrics tab in the Airflow UI, with task-to-worker mapping that ties resource use back to the Dag, task, task run, and time window.
Additional improvements
- Updated Astro infrastructure to improve stability and reliability.
Try the new Astro experience
Astro's navigation now gives you a single view across your entire Organization instead of a single Workspace. Deployments, Dags, and Astro IDE projects all appear across Workspaces in one view, with Workspace context on every row. Filter to a specific Workspace when you need to, or work from the full picture across your Organization.
Improved hibernation schedule management
Hibernation schedules now display as a visual weekly chart instead of a list of cards or a CRON table. The chart shows every schedule on one week-long timeline, in both UTC and your local time zone, so you can see at a glance when a Deployment will be awake or hibernating.
Additional improvements
- Ask Otto can now read, edit, save, deploy, and run tasks for an open Astro IDE session.
Test against an existing Deployment in the Astro IDE
You can now test code in the Astro IDE against an existing Astro Deployment in your Workspace, instead of only an ephemeral test Deployment. Testing against an existing Deployment reuses its configuration, connections, and resources, and skips provisioning a new environment.