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.

Ship AI-native products with production-grade orchestration.AI features fail when data is stale, pipelines are stitched together, and inference is opaque. Astro orchestrates feature pipelines, training, evaluation, and event-driven inference with secure execution, retries, and observability so teams move from demos to durable AI in production.
Secure digital trust with zero-trust execution.Trust breaks when security controls and audit trails vary across pipelines. Astro enforces policy-as-code, RBAC, and hardened runtime controls. Remote Execution keeps sensitive data and compute inside your boundary while delivering a managed orchestration control plane.
Run data and AI workflows efficiently at scale.Orchestration sprawl drives cost and reliability issues as cloud and token spend rise. Astro consolidates schedulers into a single control plane with autoscaling and high availability. Astro Observe links pipelines to performance and spend so teams can optimize the true cost drivers.
Rewire growth with PLG, usage-based pricing, and AI monetization.PLG depends on trusted signals across product, billing, CRM, and support. Without orchestration, metering breaks and reverse ETL fails silently. Astro standardizes usage pipelines, enables event-driven activation, and uses Astro Observe to enforce freshness and SLAs for reliable monetization.
Unlock developer velocity with platform engineering.Velocity stalls when each team runs its own schedulers and platform teams can’t enforce guardrails. Astro provides a standardized orchestration layer with governed multi-tenancy, CI/CD paths, and a single operational view so engineers onboard faster and ship with confidence.

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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