Pipeline Orchestration
Last updated on
April 10, 2025
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Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. It is designed to be dynamic, extensible, and scalable, allowing users to easily define and orchestrate complex workflows as directed acyclic graphs (DAGs) of tasks. Airflow is often used in data engineering and machine learning pipelines, and has a large and active community of developers and users.
Instant scalability
Shakudo Platform serves Apache Airflow on Kubernetes. Data engineers and developers can unlock increased stability and autoscaling capabilities of a Kubernetes cluster without taking time to setup.
Maintenance free
Every tool your team use on top of the Shakudo platform is connected to be compatible with each other.
End-to-end
You can develop code in Python push it to your git repository and set up your Directed Acryclic Graph (DAGs)
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Own Your AI
Keep data sovereign, protect IP, and avoid vendor lock-in with infra-agnostic deployments.
Faster Time-to-Value
Pre-built templates and automated DevOps accelerate time-to-value.
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Flexible with Experts
Operating system and dedicated support ensure seamless adoption of the latest and greatest tools.
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