Sold by: Code Creator
Deployed on AWS
Apache Airflow Workflow Automation Server is built on Ubuntu with Docker Compose for fast self hosted setup to programmatically author, schedule and monitor workflows. The setup is ideal for developers analysts engineers and teams. Airflow helps monitor computer workflows jobs and task progress. This product has charges associated with it for the provision and deployment of the application and AMI support.
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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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
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 |
Dimensions summary
You pay by the hour for a pre-built Apache Airflow server, billed per running EC2 instance. The 12 dimensions map to different EC2 instance types, so your rate depends on the size you choose. The t2 and t3 options (medium, xlarge, 2xlarge) cover smaller, burstable workloads. The t3a options add xlarge and 2xlarge sizes. The m6i options (xlarge, 2xlarge, 8xlarge, 32xlarge) scale up to larger, compute-heavier needs. Larger instances offer more CPU and memory and cost more per hour. You select one instance type and pay only for the hours it runs.
Top-of-mind questions for buyers
Each dimension bills per hour that one EC2 instance of that type runs. One unit equals one running virtual machine of the chosen size, measured hourly. You pick a single instance type, and its hourly rate covers the pre-built Apache Airflow server running on that machine.
Software charges accrue only while the instance runs. A fully stopped instance stops accruing the hourly software rate. Underlying AWS resources, such as attached storage, may still incur separate AWS fees. To stop software charges, stop the running instance.
You are not locked to one size. To scale, you switch to a different instance-type dimension, such as moving from a t3 size to an m6i size. Each type carries its own hourly rate. The change is manual: you choose the type that fits your compute and memory needs.
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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.
Version release notes
n/a
Additional details
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Support
Vendor support
AWS infrastructure support
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