Managed Airflow

Apache Airflow clusters for orchestrating your data pipelines and workflows at any scale.

Overview

Fresh.dev Managed Airflow provides fully managed Apache Airflow clusters. Focus on building your DAGs while we handle the infrastructure, scaling, and maintenance.

Features

  • Fully managed — No infrastructure to maintain
  • Auto-scaling — Workers scale based on demand
  • High availability — Built-in redundancy and failover
  • Git sync — Deploy DAGs directly from your repository
  • Pre-installed providers — Common integrations ready to use

Cluster Sizes

PlanSchedulerWorkersMetadata DBBest For
Starter1 vCPU / 2 GB1-21 GBDevelopment, small workloads
Standard2 vCPU / 4 GB2-104 GBProduction workloads
Enterprise4 vCPU / 8 GB5-5016 GBHigh-volume pipelines

Supported Airflow Versions

  • Apache Airflow 2.8 (latest)
  • Apache Airflow 2.7
  • Apache Airflow 2.6

Getting Started

  1. Create a new Airflow cluster from the dashboard
  2. Connect your Git repository for DAG deployment
  3. Access the Airflow web UI to monitor your pipelines