Overview
Airflow on Ubuntu 22.04 with maintenance support by ATH. This is a repackaged open source software product wherein additional charges apply for support. Apache Airflow is an open-source workflow automation and scheduling platform designed to manage and organize complex data workflows. It allows users to define workflows as Directed Acyclic Graphs (DAGs) in Python, providing a flexible and extensible way to manage and orchestrate tasks. With Airflow, you can easily schedule, execute, and monitor your data pipelines, making it a popular choice for data engineers and scientists working with large-scale data processing.
Highlights
- Workflows in Airflow are defined as Directed Acyclic Graphs (DAGs), where each node represents a task. The tasks are connected based on their dependencies, making it easy to visualize, manage, and control the execution order of tasks within a workflow.
- Airflow modular design allows users to extend its functionality through plugins. It supports various types of operators (e.g., Python, Bash, MySQL, etc.), hooks, and executors, which can be customized to fit specific use cases. Airflow also integrates seamlessly with numerous services like AWS, Google Cloud, and Kubernetes.
- Airflow provides comprehensive monitoring and logging capabilities. The web interface allows users to monitor the status of DAGs, track task execution, and view logs for troubleshooting. Users can also set up alerts and notifications to be informed of task failures or other issues in real-time.
Details
Typical total price
$0.12/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.micro AWS Free Tier | $0.001 | $0.012 | $0.013 |
t2.small | $0.02 | $0.023 | $0.043 |
t2.medium | $0.02 | $0.046 | $0.066 |
t2.large | $0.02 | $0.093 | $0.113 |
t2.xlarge | $0.02 | $0.186 | $0.206 |
t2.2xlarge | $0.02 | $0.371 | $0.391 |
t3.nano | $0.02 | $0.005 | $0.025 |
t3.micro AWS Free Tier | $0.02 | $0.01 | $0.03 |
t3.small | $0.02 | $0.021 | $0.041 |
t3.medium | $0.02 | $0.042 | $0.062 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
No Refund
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
Try one unit of this product for 5 days. There will be no software charges for that unit, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration and you will be charged for additional usage above the free units provided.
Additional details
Usage instructions
After successful launch Connect your virtual machine via SSH using username "ubuntu". To Access your application : Step 1: Use Below commands to activate the airflow:
- sudo su
- source airflow_env/bin/activate
- bash ath.sh When you will see "Airflow services restarted successfully." go ahead.
Step 2: After running above commands wait for 60 seconds and then Hit of Browser http://<PublicIP>
Step 3: When you see the login page you have to use below credentials: username : admin password : password is your <InstanceID>
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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