# Astronomer

> Astronomer empowers data teams to enhance their data availability with Astro, a modern data orchestration platform powered by Apache Airflow. Astro enables companies to place Airflow at the core of their data operations, providing ease of use, scalability, and enterprise-grade security to ensure the reliable delivery of mission-critical data pipelines.

All blog posts on this site are available as clean Markdown by appending `.md` to the post URL.
For example: `https://www.astronomer.io/blog/post-slug.md`

## Blog

- [Introducing Blueprint in Astro: Self-Service Dag Authoring For Your Entire Organization](https://www.astronomer.io/blog/introducing-blueprint-in-astro-self-service-dag-authoring-for-your-entire-organization.md): With Blueprint, creating Airflow pipelines is now possible for anyone in your organization. Data engineers define templates, and others can create pipelines though a drag-and-drop no-code interface in Astro.  No python or Airflow knowledge required. 
- [How Blueprint and Astro IDE Redefine Orchestration](https://www.astronomer.io/blog/how-blueprint-and-astro-ide-redefine-orchestration.md): The final chapter in the Rise of Abstraction series. Blueprint gives platform teams reusable, validated templates. Astro IDE turns them into a visual builder. Together, they close the Airflow literacy gap without sacrificing governance.
- [Introducing Apache Airflow® 3.2](https://www.astronomer.io/blog/apache-airflow-3-2-release.md): Asset partitions, async tasks, and continued improvements to the Airflow 3 platform
- [The EduAgent: The AI Agent Behind Astronomer Academy's Support](https://www.astronomer.io/blog/the-eduagent-the-ai-agent-behind-astronomer-academy-s-support.md): How the Astronomer Education team uses AI to help respond to user tickets and answer questions about Academy usage.
- [Airflow in Action: From Steel City to Data City. Pittsburgh, Astro and Open Government Data](https://www.astronomer.io/blog/airflow-in-action-pittsburgh.md): See how Pittsburgh's two-person data team uses Apache Airflow and Astro to power open government data, cut manual work, and deliver real civic impact.
- [The AI Agent Behind Astro Runtime's Reliability](https://www.astronomer.io/blog/the-ai-agent-behind-astro-runtimes-reliability.md)
- [Airflow in Action: How DoorDash Scaled for Data and ML Engineering](https://www.astronomer.io/blog/airflow-in-action-doordash.md): DoorDash runs one of the largest Airflow deployments in the world. See how they built the Orchestration Frederator to scale without the chaos.
- [Airflow in Action: Red Hat's Blueprint for Trusted AI Agents with Astro](https://www.astronomer.io/blog/airflow-in-action-red-hat.md): How Red Hat built a trusted data and AI platform on Apache Airflow and Astro, powering 95 data products and production AI agents across the enterprise.
- [Build Faster, Let Agents Do More: What's New in the Astro CLI](https://www.astronomer.io/blog/astro-cli-update-march-2026.md): The Astro CLI is the fastest way to develop and deploy Airflow pipelines from your own editor. Today we're making it more powerful with standalone mode, automatic port management, and direct API access that works for both developers and AI coding agents.
- [Airflow in Action: How American Express Orchestrates Metadata Across 3,000 Databases](https://www.astronomer.io/blog/airflow-in-action-amex.md): Amex runs 100+ production Dags orchestrating metadata with Airflow. See how they built the operators, pipelines, and governance framework that makes it work.
- [Cross-Region Disaster Recovery on Astro: Enterprise Resilience, Without the Engineering Project](https://www.astronomer.io/blog/cross-region-disaster-recovery-on-astro-enterprise-resilience.md): Today, we are announcing the public preview of cross-region Disaster Recovery on Astro, now available on AWS.
- [Improving Reliability with a More Resilient Auth Proxy Architecture](https://www.astronomer.io/blog/improving-reliability-with-a-more-resilient-auth-proxy-architecture.md): Whether you're building new automation or migrating from the beta API, this is the stable foundation you need to programmatically manage Astro at scale.
- [Build Your Data Quality Deck](https://www.astronomer.io/blog/build-your-data-quality-deck.md): Learn how to use Apache Airflow's six SQL check operators to build comprehensive data quality checks for your pipelines, explained through the lens of Magic: The Gathering deck building.
- [Airflow in Action: Boosting BI at Visa. 100% Trust in Data With 70% Lower Overhead](https://www.astronomer.io/blog/airflow-in-action-visa.md): Visa cut BI dashboard refresh times from 24 hours to 2 hours with Airflow. Learn how they automated end-to-end workflows and achieved zero missed SLAs.
- [Building Kepler](https://www.astronomer.io/blog/building-kepler-astronomer-internal-data-assistant.md): How Astronomer built Kepler, an internal Slackbot and CLI tool that answers ad hoc data questions using LLMs, hybrid search, and code context to democratize data access across the company.
- [What Happens When a PM Runs a Coding Agent (almost) Full-Time](https://www.astronomer.io/blog/what-happens-when-a-pm-runs-a-coding-agent-almost-full-time.md): How our Principal Product Manager used AI coding agents like Claude Code during onboarding to automate workflows, track customer conversations, and ship features in his first 90 days at Astronomer.
- [Airflow in Action: Unlocking Airflow 3's Power for Multi-Tenancy at Datadog](https://www.astronomer.io/blog/airflow-in-action-datadog.md): Datadog processes 100+ trillion events daily. Learn why they chose Airflow 3 for multi-tenancy, and data-aware scheduling at scale.
- [Dag-Level Roles on Astro: Fine-Grained Access for Enterprise Airflow](https://www.astronomer.io/blog/dag-level-roles-on-astro-fine-grained-access-for-enterprise-airflow.md): Dag-level roles are now available on Astro, giving Enterprise customers the ability to control access to individual Dags within a shared deployment.
- [Airflow in Action: Best Practices Learned From Scaling AI at Oracle](https://www.astronomer.io/blog/airflow-in-action-oracle.md): Best practices from AI at Oracle: use Airflow to scale GPU-heavy AI and MLOps on Kubernetes with higher reliability, visibility, and GPU ROI.
- [Airflow in Action: Expedia’s Multi-Tenant Platform at 200+ Clusters, 14,000+ Pipelines](https://www.astronomer.io/blog/airflow-in-action-expedia.md): How Expedia runs 14,000+ Dags across 200+ isolated Airflow clusters with multi-tenancy, templates, and automated CI/CD.
- [Introducing AI Agent Tooling: Bringing Airflow Intelligence to Your Local Workflow](https://www.astronomer.io/blog/introducing-ai-agent-tooling-bringing-airflow-intelligence-to-your-local-workflow.md): Whether you use Claude Code, Cursor, VS Code, or any of the 25+ compatible AI coding tools, you can now access specialized Airflow knowledge right where you already work.
- [How to build a decision tracing context graph with Apache Airflow®](https://www.astronomer.io/blog/how-to-build-a-decision-tracing-context-graph-with-apache-airflow.md): Last week, the first-ever in-person Airflow Summit occurred in Toronto, Canada. Over 500 attendees from 20+ countries came together for all things Airflow, orchestration, and open source.
- [The 2026 Astronomer Data Excellence Awards](https://www.astronomer.io/blog/2026-data-excellence-awards.md): This year’s winners span industries, regions, and use cases, but they share a common thread: data orchestration as a strategic advantage.
- [Airflow in Action: Qualcomm Chip Design Orchestration at Million-Task Scale with Airflow 3](https://www.astronomer.io/blog/airflow-in-action-qualcomm.md): How Qualcomm uses Airflow 3 to orchestrate chip design at massive scale, running millions of EDA tasks daily across global data centers.
- [Introducing Astro API: Production-Ready and Generally Available](https://www.astronomer.io/blog/announcing-astro-api-v1-ga.md): Whether you're building new automation or migrating from the beta API, this is the stable foundation you need to programmatically manage Astro at scale.
- [Airflow in Action: Powering Investigative Journalism at the FT with Orchestration and AI](https://www.astronomer.io/blog/airflow-in-action-financial-times.md): How the Financial Times uses Apache Airflow to orchestrate AI pipelines, structure messy public data, and power investigative journalism at scale.
- [Astro Observe Data Quality: Now in Public Preview with Event-Driven Monitoring](https://www.astronomer.io/blog/astro-observe-data-quality-public-preview.md): Data Quality monitoring in Astro Observe is now available in public preview with powerful new capabilities that fundamentally change when and how you validate data.
- [State of Airflow 2026: The Orchestration Layer is Uniting Data, AI, and Enterprise Growth](https://www.astronomer.io/blog/state-of-airflow-2026.md): We've just released the State of Airflow 2026 report, built on insights from over 5,800 data professionals across 122 countries—the largest survey of data engineers ever conducted.
- [Introducing Cohort 6 of the Astronomer Champions Program for Apache Airflow®](https://www.astronomer.io/blog/introducing-cohort-6-of-the-astronomer-champions-program-for-apache-airflow.md): This new cohort brings together an outstanding group of data engineers, architects, and platform leaders from around the world who share a deep commitment to Apache Airflow® and to advancing the practice of data orchestration.
- [Building Data Pipelines Like Assembly Lines](https://www.astronomer.io/blog/building-data-pipelines-like-assembly-lines.md): Scale your data engineering team with a declarative Airflow framework and the write-audit-publish pattern, making pipeline development fast, safe, and reliable.
- [Localized Orchestrators Will Lock You Out of Enterprise AI](https://www.astronomer.io/blog/localized-orchestrators-will-lock-you-out-of-enterprise-ai.md): There’s an urgent reason why localized orchestrators are a strategic mistake. One that has nothing to do with exit costs or vendor leverage and everything to do with what AI needs to work.
- [Airflow in Action: Orchestrating AI At Duolingo To Unlock 99% Lower Costs, 10x User Growth](https://www.astronomer.io/blog/airflow-in-action-duolingo.md): Discover how Duolingo uses Airflow to orchestrate AI content pipelines, automate critical workflows, cut costs, and scale learning to millions.
- [Airflow in Action: Inside Deutsche Bank’s Regulated Data Workflows](https://www.astronomer.io/blog/airflow-in-action-deutsche-bank.md): Learn how Deutsche Bank runs Apache Airflow in a highly regulated environment to orchestrate audited, hybrid banking workflows at scale.
- [Upgrading Airflow 2 to Airflow 3 - A Checklist for 2026](https://www.astronomer.io/blog/upgrading-airflow-2-to-airflow-3-a-checklist-for-2026.md): You’ll learn: The 3 big reasons for upgrading to Airflow 3, how to plan your Airflow upgrade, and more.
- [Better together: Astro CLI and Astro IDE](https://www.astronomer.io/blog/better-together-astro-cli-and-astro-ide.md): Last week, the first-ever in-person Airflow Summit occurred in Toronto, Canada. Over 500 attendees from 20+ countries came together for all things Airflow, orchestration, and open source.
- [Data products get budgets, pipelines get questioned](https://www.astronomer.io/blog/data-products-get-budgets-pipelines-get-questioned.md): By treating your critical pipelines as products, you make the invisible visible, and you might just get the budget (and the sleep) you deserve.
- [What's New in Astro IDE: Fast Mode and Enhanced Skills](https://www.astronomer.io/blog/whats-new-in-astro-ide-fast-mode-and-enhanced-skills.md): We’ve made Astro IDE even more powerful, with a set of improvements providing the agent with more context, and data engineers more control over how the agent responds.
- [What is Data Observability?](https://www.astronomer.io/blog/what-is-data-observability.md): A guide to understanding data observability, why it matters, and how modern teams are using it to deliver trusted, reliable data at scale.
- [Airflow in Action: Inside GitHub’s Data Platform. Open Source to Copilot](https://www.astronomer.io/blog/airflow-in-action-github.md): How GitHub uses Airflow for open source insights, customer success and continuous Copilot improvements plus nine years of lessons from its data platform.
- [Airflow in Action: The Unified Orchestration Platform Behind OpenAI](https://www.astronomer.io/blog/airflow-in-action-openai.md): How OpenAI scaled Apache Airflow into a unified orchestration platform, boosted reliability, and replaced legacy schedulers across the business.
- [Best practices for writing Airflow Dags with AI](https://www.astronomer.io/blog/best-practices-for-writing-airflow-dags-with-ai.md): Learn how to effectively use AI tools like the Astro IDE to write maintainable Airflow DAGs by providing proper context, using structured prompting techniques, and enforcing governance standards rather than relying on "vibe coding."
- [Multi-Agent orchestration with Apache Airflow®, Apache Kafka®, Aryn AI, and OpenAI](https://www.astronomer.io/blog/multi-agent-orchestration-apache-airflow-apache-kafka-aryn-ai-openai.md): Build multi-agent AI pipelines with Airflow, orchestrating specialized agents, RAG with Aryn AI and Weaviate, human-in-the-loop steps, and Kafka.
- [Cut DAG Runtimes by Up to 80% with Cosmos Watcher Execution Mode](https://www.astronomer.io/blog/cosmos-1-11-ga.md): This release focuses on helping teams run dbt workflows faster while maintaining the task-level observability that makes using Cosmos superior to running dbt projects with the BashOperator.
- [Abstraction with DAG Factory: From Excel to Minecraft](https://www.astronomer.io/blog/abstraction-with-dag-factory-from-excel-to-minecraft.md): In this second part, we explore the middle ground between full code and full abstraction: configuration-based authoring with DAG Factory.
- [From Reactive to Proactive: How Astro Observe Helps Airflow Teams Prevent Alert Fatigue and Catch Failures at the Source](https://www.astronomer.io/blog/how-astro-observe-helps-airflow-teams-prevent-alert-fatigue-and-catch-failures-at-the-source.md): Teams can move from reactive alerts to proactive prevention, detecting issues at the source before they break dashboards or delay critical SLAs.
- [Speedrun your first Apache Airflow® Dag run](https://www.astronomer.io/blog/speedrun-your-first-apache-airflow-dag-run.md): The Astro IDE allows you to run your first Airflow Dag within X minutes! Can you beat my time?
- [Calculating Airflow’s Total Cost of Ownership](https://www.astronomer.io/blog/calculating-airflows-total-cost-of-ownership.md): Model the true cost of Airflow. Use Astronomer’s TCO Calculator to uncover savings and ROI from a fully managed, unified orchestration platform.
- [The Rise of Abstraction in Data Orchestration](https://www.astronomer.io/blog/the-rise-of-abstraction-in-data-orchestration.md): We look at how abstraction reshapes orchestration, why it matters for technical managers, and how to position teams to thrive in a multi-level reality.
- [Introducing Astro Private Cloud: An Enterprise Orchestration & Scheduling Platform in Your Environment](https://www.astronomer.io/blog/introducing-astro-private-cloud.md): Today, we're excited to announce the launch of Astro Private Cloud. This release represents a fundamental shift in how enterprises deliver data orchestration at scale within their own infrastructure.
- [Astro IDE and Human-in-the-Loop: A First Look at Airflow 3.1 and AI Agent comparison](https://www.astronomer.io/blog/astro-ide-human-in-the-loop.md): As part of the Astronomer DevRel team I get to explore new features in the weeks before the release to produce educational content, for humans but also for our friendly helpful robots: AI coding assistants.

## Optional

- [Full blog archive](https://www.astronomer.io/blog/): Index of all Astronomer blog posts on data orchestration, Apache Airflow, and the Astro platform.
- [Documentation](https://www.astronomer.io/docs/): Full Astro platform and Apache Airflow documentation.
- [Apache Airflow guides](https://www.astronomer.io/guides/): In-depth tutorials and best-practice guides for Apache Airflow.