Overview
Apache Airflow makes it easier to create, maintain and test complex workflows by providing a platform to express and execute them as directed acyclic graphs (DAGs). It includes utilities to schedule tasks, monitor task progress and handle task dependencies. Key features include:
- Support for task scheduling and dependencies
- Rich user interface to visualize, modify and manage tasks
- Extensible and scalable
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Highlights
- Tools to design and express workflows as code.
- Rich user interface.
- Support for scheduled tasks and dependencies.
Details
Typical total price
$0.075/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.large | $0.00 | $0.093 | $0.093 |
t2.xlarge | $0.00 | $0.186 | $0.186 |
t2.2xlarge | $0.00 | $0.371 | $0.371 |
t3.large | $0.00 | $0.083 | $0.083 |
t3.xlarge | $0.00 | $0.166 | $0.166 |
t3.2xlarge | $0.00 | $0.333 | $0.333 |
t3a.medium | $0.00 | $0.038 | $0.038 |
t3a.large Recommended | $0.00 | $0.075 | $0.075 |
t3a.xlarge | $0.00 | $0.15 | $0.15 |
t3a.2xlarge | $0.00 | $0.301 | $0.301 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
N/A
Legal
Vendor terms and conditions
Content disclaimer
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
- scripts structure
- Updated redis to 7.4.1
- Updated airflow to 2.10.3
- Updated postgresql to 17.0.0
- Updated gdal to 3.10.0
- Updated orafce to 4.13.5
- Updated pljava to 1.6.8
- Updated pgaudit to 17.0.0
- Updated pgbackrest to 2.54.0
- Updated python to 3.12.7
- Updated virtualenv to 20.27.1
Additional details
Usage instructions
Once the instance is running, access your instance via SSH using the username 'bitnami' and your Amazon private key. For additional setup instructions and frequently asked questions please go to https://docs.bitnami.com/aws/infrastructure/apache-airflow/
Resources
Vendor resources
Support
Vendor support
Bitnami also provides technical documentation for installation and setup issues through our support center at
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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