Orchestrating the future of Tech
Here’s how leading technology companies use Apache Airflow® and Astro to ship AI-native products, secure digital trust, and drive breakout growth.
Data is your product advantage.
Technology companies are converging on strategic IT priorities that will define category leadership over the next three years. These span making products AI-native, securing digital trust, to scaling product-led growth and developer velocity, all powered by reliable, production-grade data orchestration.
Transform your Tech data operations.
Before Astro | After Astro |
|---|---|
Scheduling sprawl across teams and tools | One unified orchestration platform with 2,100+ connectors to build, run, and observe critical pipelines and workflows |
Managed services require access to sensitive data | Remote Execution keeps execution inside your environment |
Legacy schedulers stall modernization | Cloud-native orchestration bridges mainframes and cloud platforms seamlessly |
Brittle ETL scripts and manual jobs | Astro Runtime delivers hardened, production-ready Airflow images with RBAC and audit logging |
Governance bolted on post-hoc | Policy-as-code pipelines enforce masking, logging, and validation at runtime |
AI pilots fail to scale | Unified pipelines + 1,600 connectors operationalize AI across enterprise. Airflow 3.0 enables real-time, parallel inference at scale |
Manual retraining processes | Event-driven retraining & inference automated in Airflow 3.0 |
Little data trust and limited insight into model explainability | Astro Observe tracks lineage, SLAs, and model performance in production |
Slow and fragmented LLM workflows in silos | Airflow AI SDK enables agentic, multi-step, vectorized workflows |
Batch analytics delay insights | Event-driven scheduling updates dashboards, fraud models, and risk systems as data changes |
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Orchestrating the Future of Tech
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