Overview
Code Creator Apache Airflow Workflow Automation Server provides a fast way to launch a self hosted Apache Airflow environment on Ubuntu using Docker Compose.
This server is designed for workflow orchestration ETL jobs data pipelines and scheduled task automation. It includes a First Boot Wizard that guides new users through creating an Airflow admin account selecting a web port and starting the Airflow stack on first login.
The setup is ideal for developers analysts engineers and teams who want a ready to launch Airflow server on AWS without spending time on manual installation steps. After setup users can access the Airflow web interface create and manage DAGs and run workflow automation jobs from a familiar browser based UI.
The product is built for ease of use and repeatable deployment with a clean first time user experience and automatic startup on reboot after initial configuration. This makes it a strong option for learning development testing proof of concept work and internal workflow automation environments. This is a repackaged open source software product wherein additional charges are applied for the deployment of the application and AMI support and compliance.
Highlights
- Fast Airflow deployment on Ubuntu 24 04 using Docker Compose
- First Boot Wizard creates admin login and starts the stack for new users
- Self hosted workflow automation and ETL server with web UI and reboot auto start after setup
Details
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Pricing
Dimension | Cost/hour |
|---|---|
t3.medium Recommended | $0.025 |
m6i.2xlarge | $0.025 |
t3.2xlarge | $0.025 |
t2.2xlarge | $0.025 |
t2.medium | $0.025 |
t3a.xlarge | $0.025 |
m6i.8xlarge | $0.025 |
t3a.2xlarge | $0.025 |
t2.xlarge | $0.025 |
t3.xlarge | $0.025 |
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No contracts. We do not currently support refunds, but you can cancel at any time.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
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