Overview
This is a repackaged open source software product wherein additional charges apply for the installation, configuration, and maintenance by Intuz. The Airflow Stack AMI provides a ready-to-use environment with Apache Airflow pre-installed and configured for task orchestration and data pipeline automation.
Designed for data engineers and developers, this AMI eliminates the hassle of manual setup, enabling quick deployment of workflow automation solutions. It includes the Airflow web interface, a secure login setup, and compatibility with a wide range of EC2 instance types. With browser-based access and SSH support, users can begin managing workflows in minutes. Whether you are orchestrating ETL jobs, scheduling ML tasks, or coordinating complex pipelines, this stack simplifies your start on the cloud.
Highlights
- Pre-configured Apache Airflow stack for quick workflow orchestration
- Browser-accessible UI and SSH-ready environment for easy control
- No manual setup required; ready to deploy on supported EC2 instances
Details
Unlock automation with AI agent solutions

Features and programs
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Pricing
Free trial
Dimension | Cost/hour |
---|---|
t3a.medium Recommended | $0.09 |
m5ad.2xlarge | $0.09 |
m7a.metal-48xl | $0.09 |
m5ad.4xlarge | $0.09 |
m6a.24xlarge | $0.09 |
t3a.small | $0.09 |
m7a.12xlarge | $0.09 |
m6a.12xlarge | $0.09 |
m7a.xlarge | $0.09 |
m7a.32xlarge | $0.09 |
Vendor refund policy
Intuz will not refund money in any case.However, you can cancel your subscription 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.
Version release notes
Initial release of Intuz Airflow AMI, providing a fully pre-configured Apache Airflow environment for seamless workflow and pipeline orchestration.
Includes web-based UI access for easy DAG management and monitoring.
Supports rapid deployment on cloud instances with built-in integrations for common data engineering tasks.
Optimized for stability and performance to support production workloads.
Updated documentation and usage instructions included.
Additional details
Usage instructions
After launching the Intuz Airflow AMI, wait for approx 5 minutes for the environment to initialize. Then open a Web Browser and navigate tot he EC2 Instance's Public IP address to access the Airflow Web UI. Log in using admin as username and the EC2 instance ID as the password. For SSH Access, connect using ssh -i key.pem ubuntu@public-ip.
Support
Vendor support
We provide best effort technical support for this product. We will do our best to respond to your questions within the next 24 hours in business days. For any technical support or query, you can drop an email here: cloudsupport@intuz.com or fill up this form:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.