Airflow in Action: ETL Insights from Bloomberg — Slashing Runtimes by 50%
Bloomberg's Data Platform Engineering team shares four real-world Airflow configuration fixes that resolved production issues across 2,500+ DAGs — no code changes required.
Real-world stories from teams running Apache Airflow at scale.
Bloomberg's Data Platform Engineering team shares four real-world Airflow configuration fixes that resolved production issues across 2,500+ DAGs — no code changes required.
Uber is migrating 200k pipelines to Airflow 3. Here's the architecture, tooling, and strategy behind one of the largest orchestration migrations ever undertaken.
See how Kaiser Permanente runs AI and ML research pipelines on-prem with Airflow, and how Astronomer supports regulated industries with the same flexibility
See how SAP built a production RAG pipeline with Apache Airflow to power Joule for Consultants, processing 5M+ documents across 15 data sources for the enterprise.
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.
DoorDash runs one of the largest Airflow deployments in the world. See how they built the Orchestration Frederator to scale without the chaos.
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.
Amex runs 100+ production Dags orchestrating metadata with Airflow. See how they built the operators, pipelines, and governance framework that makes it work.
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.
Datadog processes 100+ trillion events daily. Learn why they chose Airflow 3 for multi-tenancy, and data-aware scheduling at scale.
Best practices from AI at Oracle: use Airflow to scale GPU-heavy AI and MLOps on Kubernetes with higher reliability, visibility, and GPU ROI.
How Expedia runs 14,000+ Dags across 200+ isolated Airflow clusters with multi-tenancy, templates, and automated CI/CD.
How Qualcomm uses Airflow 3 to orchestrate chip design at massive scale, running millions of EDA tasks daily across global data centers.
How the Financial Times uses Apache Airflow to orchestrate AI pipelines, structure messy public data, and power investigative journalism at scale.
Discover how Duolingo uses Airflow to orchestrate AI content pipelines, automate critical workflows, cut costs, and scale learning to millions.
Learn how Deutsche Bank runs Apache Airflow in a highly regulated environment to orchestrate audited, hybrid banking workflows at scale.
How GitHub uses Airflow for open source insights, customer success and continuous Copilot improvements plus nine years of lessons from its data platform.
How OpenAI scaled Apache Airflow into a unified orchestration platform, boosted reliability, and replaced legacy schedulers across the business.
Discover how Procter & Gamble uses Apache Airflow to modernize data systems, power AI, and streamline legacy workflows at global scale.
Vibrant Planet optimizes Airflow pipelines for wildfire prevention, using ML and dynamic memory scaling to process massive geospatial datasets
Integrating Slurm and Airflow, Meteosim runs over 6,000 pipelines daily with zero failures. Read the post to learn how they did it.
How Laurel uses Airflow to scale GenAI, automate timekeeping, and cut LLM costs by $500K per year. Learn how DAGs power model retraining and inference.
Discover Rakuten Kobo’s strategies for scaling Airflow usage across teams, fostering collaboration with guardrails, alerts, and shared environments.
BAM simplifies complex data pipelines with dbt on Airflow using Cosmos, enabling teams to scale transformations with ease and transparency.
Discover Autodesk’s secure UAT environment for PII testing, achieving faster deployments and reduced technical debt, powered by Airflow and Astronomer.
Wix runs 5,500 Airflow pipelines daily, powering ML workflows for the company that hosts 10% of the web. Explore their innovative MLOps platform.
Learn how Airflow powers Cloudflare’s infrastructure automation, from server diagnostics to GPU inference clusters in 100+ data centers
Learn how Circle manages stablecoins across multiple blockchains with Airflow, tackling MWAA challenges and exploring Astronomer for speed & scale
Learn how Robinhood scaled mission-critical financial workflows with Airflow, from trading to clearing, migration strategies, and future plans.
Discover how Instacart scaled Apache Airflow to handle 2,200 pipelines and 16 million tasks monthly with custom tools, IaC, and centralized management.
Explore how the Texas Rangers and Philadelphia Phillies use Airflow to revolutionize data orchestration and ML, driving faster insights and a competitive edge.
Learn how Panasonic leverages Apache Airflow to streamline battery production, scale workflows, and plan for streaming and Kubernetes.
Discover how ASAPP turbocharges MLOps with Airflow and Spark, scaling LLM workflows to boost efficiency & achieve lightning-fast processing in hours vs days.
Discover how LinkedIn uses Airflow to orchestrate 12k pipelines managing 1m deploys for 7k services. And Airflow 3 will make provisioning even easier!
Learn how Stripe processes petabytes of data daily with Apache Airflow, ensuring compliance while accelerating developer workflows with its dev/test tooling
Go on an Airflow journey with Bosch as they scale from 1k to 50k DAG runs per hour and 1.2 million pipeline runs per day with an average 1 second latency.
Discover how Burns & McDonnell scaled data delivery from ad-hoc workflows to a unified platform using Apache Airflow, providing reliable data in under 24 hours.
Discover how Uber streamlined data workflows with Apache Airflow, scaling to support 1,000 teams, 450,000 daily pipeline runs, and plans for Airflow 3