Infrastructure & MLOps
Airflow
Apache Airflow is a platform developed by the community to programmatically author, schedule, and monitor workflows. It enables users to define workflows as code, allowing for dynamic pipeline generation and easy maintenance. Airflow provides tools to track the progress and outcomes of workflows, facilitating operational visibility and troubleshooting. The platform is designed to handle complex dependencies and scheduling requirements, making it suitable for managing data pipelines and other automated processes.
Overview
Platform to programmatically author, schedule, and monitor workflows.
Pricing
open-source
Category
Infrastructure & MLOps
Company
Visual Guide
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Key Features
01
Allows users to define workflows programmatically as code.
02
Supports scheduling of workflows to run at specified intervals or triggers.
03
Provides monitoring capabilities to track workflow execution and status.
Real-World Use Cases
Data Pipeline Management
Automate and monitor complex data processing workflows.
Task Scheduling
Schedule recurring tasks with dependencies.
Quick Start
1
Define Workflow
Write your workflow as code using the platform's programming interface.
2
Schedule Workflow
Set up scheduling parameters to run the workflow at desired times or events.
3
Monitor Execution
Use monitoring tools to track workflow progress and troubleshoot issues.