See all the latest updates to all things Astronomer, including Astro, Observe, Software, and more.
Author pipelines, investigate failures, and keep Airflow current with Astronomer's proprietary knowledge from running Airflow at scale built in. Otto learns from every correction a team makes and gets better every session.
Extend Dag creation to more teams with Blueprint. Use reusable templates and a drag-and-drop interface in Astro to build pipelines without writing Python, while platform teams maintain standardized patterns and governance.
Build and test Airflow pipelines more efficiently with updates to the Astro CLI, including Docker-free development, automatic port management, and direct API access.
Protect your data pipelines from regional outages. Pair clusters across AWS regions and fail over with minimal downtime and data loss, all managed directly from the Astro UI.
Control access at the Dag level so teams only see what they need, making it easy to collaborate securely in one deployment.
Bring Airflow knowledge directly into your local development workflow. Use AI coding tools with built-in Airflow skills to speed up Dag authoring, testing, and migrations across versions.
Catch data issues with built-in checks for volume, completeness, and schema consistency or define custom checks will full SQL flexibility.
New Watcher Execution Mode in Cosmos dramatically reduces dbt DAG runtimes while preserving the observability you need for production.
Set up a Proactive Failure Monitor for data products to get alerts when upstream or final Dags fail before downstream delivery or SLAs are impacted.
Control plane & data plane separation for centralized Airflow 3 management across clusters, regions, and cloud providers.
Airflow 3.1 is now GA on Astro bringing improved support for human-in-the-loop AI workflows, synchronous DAG execution, a new plugins interface, and several UI enhancements including native language support.
Author, test, and release production-ready DAGs from your browser with context-aware AI, zero local setup, and one-click deploys to Astro.
Airflow 3 is now GA on Astro with DAG Versioning, Event-driven Scheduling, Remote Execution, and a new executor.
Enhanced Alerts let you match DAGs and tasks using patterns like “contains” and apply rules across many workflows.
SLA metrics and entity names in the Event Timeline make it easier to monitor and debug DAG performance.
Observe now shows Snowflake cost per task, detailed lineage views, and drilldowns into DAG and task-level costs.
You can now choose the Team plan on monthly billing. Easily subscribe and scale.
Astro Observe gives teams real-time insight into pipeline health, alerts, and AI-powered root cause analysis.
View alert history to track issues across deployments. Filter by status, time, channel, and alert type.
HA Deployments now run two webservers by default, improving API availability and minimizing disruptions.
You can now launch Astro clusters in the Australia East region on Azure for better latency and compliance.
Astro Alerts now support Task Failure and DAG Duration alerts to help teams catch issues earlier and respond faster.
Subscribe to Astro via AWS Marketplace with pay-as-you-go billing and no extra contracts or setup.
Restrict outbound traffic with Private or Customer Managed Egress to meet security and compliance needs.
Define data products—like dashboards or reports—and monitor the pipelines that power them for freshness and reliability.
Get automatic alerts when Deployment components fail. Resolve faster with built-in recommendations.
Use the Astro API to automate and manage environment configs like metrics export, variables, and connections.
Astro Runtime now disables the mini-scheduler by default to reduce task state issues and simplify debugging.
Manage alerts by scope—Deployment, Workspace, or Org—and see only what you’re allowed to create or edit.
You can now create XL Deployments with 2 DAG processors and 8 vCPU—designed for large, dynamic workloads and reliable scheduling.
Track Network and Cluster costs in Org Dashboards to improve budgeting and cost transparency.
A new Org section, analytics tab, and Deploy History make it easier to manage clusters and settings.
Export Astro metrics to tools like Grafana or New Relic using Prometheus to track performance your way
Create and share Airflow variables across Deployments securely, without needing custom secrets backends.
Tag exported metrics with custom Key:Value labels to organize and filter observability data by context.
Assign an IAM role when creating an AWS Deployment to enable secure, passwordless access to cloud resources.
Automate Airflow infrastructure with Terraform to enable scalable, consistent, and reproducible deployments.
Get full visibility into your dbt workflows in Airflow with Cosmos—now fully supported in Astro.
Securely assign and reuse IAM roles across Deployments to simplify access control and reduce credential sprawl.
Deploy dbt and Airflow code together from Astro to streamline collaboration and speed up delivery.
Astro now automatically detects and replaces non-responsive workers to improve reliability and uptime.
Export metrics from Astro to your observability stack to track performance and reliability in real time.
Automate Astro workflows through the API to reduce manual steps, scale reliably, and standardize operations.
Track usage and performance across your Org with built-in dashboards to guide optimization and decision-making.
Define fine-grained roles and enforce access policies with full support for SSO and SCIM integration.
Leverage your GCP or Azure identities across Deployments to simplify access management and speed up migrations.
Test DAG changes and promote them to production with Astro’s built-in GitHub-based CI/CD workflow.
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