Sold by: Websoft9
Deployed on AWS
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This product has charges associated with it for Websoft9 support. Pre-configured, web-based, cloud-native, secure, one-click to deploy Apache Airflow® with Websoft9 Applications Hosting Platform on AWS. Apache Airflow is Platform to programmatically author, schedule and monitor workflow, used for Operations Automation.
Overview
This is a cloud-native Apache Airflow® runtime on the Websoft9 Applications Hosting Platform. It is always up-to-date, secure, and ready to use right out of the box with business support from Websoft9.
Apache Airflow® is an open source workflow management platform for orchestrating and scheduling complex tasks. It uses a directed acyclic graph (DAG) to define task dependencies , support for dynamic generation of tasks and flexible scheduling.Airflow provides a rich user interface and powerful extensions for data engineering , ETL processing and machine learning pipelines and other scenarios.
Websoft9 is a lightweight, self-hosting PaaS that allows you to deploy multiple applications on your own cloud infrastructure. It employs a GitOps approach and includes an integrated app store that supports one-click deployment of over 200 template applications, as well as the ability to deploy custom applications. Users have complete autonomy, ensuring that applications can be easily configured and continuously deployed even after they are live. Additionally, the web-based interface allows users to effortlessly perform tasks such as domain binding, HTTPS setup, access control, and status monitoring.
Image Components
Apache Airflow 3.0, Docker, Websoft9 Platform
Trademark Statement Apache Airflow, Apache, Airflow, the Airflow logo, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation, which is not affiliated with, and does not endorse, this product.
Use Cases
Operations Automation, schedule and monitor workflows.
Ready-to-use related applications
This product enables users to deploy additional applications related to Airflow with a one-click, including n8n, Node-RED, Ansible, and others you may need.
EC2 requirements
CPU no less than 2 core, Memory no less than 8G
Highlights
- Docker-based, easy to deploy and upgrade
- One-click deployment of over 200+ template applications from the console
- Console panel for installing and managing multiple applications on a single instance
Details
Sold by
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
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t3.large Recommended | $0.055 |
t3.micro | $0.055 |
t2.micro | $0.039 |
c5d.large | $0.055 |
c5.large | $0.055 |
c5d.xlarge | $0.078 |
c5.xlarge | $0.078 |
c4.8xlarge | $0.233 |
c4.large | $0.055 |
x1.16xlarge | $0.311 |
Dimensions summary
You pay by the hour for Apache Airflow running on an EC2 instance you choose. Pricing is not tiered by features. Instead, each dimension maps to a specific EC2 instance type, and your rate depends on which size you select. Options range from small burstable instances like t2.nano and t3.micro up to large compute, memory, storage, and GPU instances such as x1e.32xlarge, r5.24xlarge, and p3.16xlarge. Larger instances with more CPU, memory, or GPU cost more per hour. You can start or stop usage as your workload needs change.
Top-of-mind questions for buyers
Each dimension maps to one running EC2 instance of the named type. You pay for every hour that instance runs Apache Airflow. The rate covers the software plus the compute size you selected. Running two instances means paying two hourly rates. Instance type determines your CPU, memory, storage, and GPU resources.
The hourly software charge applies only while the instance runs. Stopping the instance halts the software rate. Underlying AWS storage fees for the attached volume may still apply while stopped. You control usage by starting and stopping the instance as your workload needs change.
You choose one instance type when you deploy. To change size, you switch to a different instance type running the same image. Your hourly rate then follows the new dimension. There is no separate tier upgrade; billing simply reflects whichever instance type is running at that time.
support.websoft9.com
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Vendor refund policy
Annual Subscriptions: Refunds are allowed if you are canceling a subscription to purchase a new subscription from Websoft9 at the same or higher rate. Hourly Subscriptions: We do not currently support refunds, but you can cancel at any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Airflow 3.1, Docker, Websoft9 v2.2.17
Additional details
Usage instructions
Once the instance is running, enter the http://Public DNS:9000 provided by AWS into your browser. You will then see the Websoft9 Console.
And refer to the following steps to get started:
- Use SSH to connect your AWS EC2 by user ubuntu
- Run command 'sudo usermod -aG docker ubuntu && sudo passwd ubuntu' to set password and permisson for this user
- Use your EC2 username 'ubuntu' and password to log in Websoft9 Console.
- Go to the "App Store" in the Websoft9 Console and install Airflow with a one-click.
- Once installation is complete, go to "My Apps" to get the port, access url and credentials of Airflow.
Resources
Vendor resources
Support
Vendor support
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.
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