Sold by: kCloudHubs LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. Luigi is a Python based workflow management system used to build complex data pipelines. It helps in handling task dependencies, scheduling jobs, and managing large scale batch processing in a simple and structured way. Developers define tasks and Luigi automatically resolves execution order and handles failures.
Overview
This is a repackaged open-source software product wherein additional charges apply for support. Luigi on Ubuntu 24.04 is a Python-based workflow orchestration framework designed to build, schedule, and manage complex batch processing and data pipelines. It helps developers and data engineering teams organize workflows as individual tasks while automatically managing dependencies and execution order. Luigi is particularly useful for workflows where multiple processing stages must be completed in a specific sequence.
Luigi represents workflows as task dependency graphs, allowing each task to define its inputs, outputs, and execution logic. The framework can determine which tasks need to run, avoid unnecessary duplicate execution, and provide workflow status information through its scheduler and web interface. It can be integrated into data engineering and analytics environments for ETL pipelines, batch processing, data transformation, reporting, automation, and other dependency-driven workloads.
The Luigi environment on Ubuntu 24.04 provides a ready-to-use foundation for workflow development, data processing, and pipeline automation. It can be used with databases, distributed data processing systems, cloud infrastructure, and custom Python applications. kCloudHubs provides maintenance support that may include installation and configuration assistance, troubleshooting, environment maintenance, updates, dependency guidance, workflow configuration, and operational support. Keywords: Luigi, luigi, LUIGI, Ubuntu 24.04, workflow orchestration, Python, data pipelines, ETL, batch processing, task scheduler, task dependencies, data engineering, data analytics, workflow automation, pipeline management, kCloudHubs.
Highlights
- Luigi manages task dependencies automatically and ensures correct execution order
- It provides scheduler and web interface for monitoring workflows easily
- It is widely used for building scalable and reliable data pipelines
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.
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 |
|---|---|
m4.large Recommended | $0.06 |
t2.micro | $0.001 |
t3.micro | $0.06 |
t3.medium | $0.06 |
t2.2xlarge | $0.06 |
t2.medium | $0.06 |
t3.nano | $0.06 |
r3.large | $0.06 |
r4.large | $0.06 |
t3.large | $0.06 |
Vendor refund policy
No refund
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
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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
Packaged with latest updates as of April/2026
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #sudo su #cd /opt #source luigi-env/bin/activate #python
import luigi luigi.version #luigid (Run Luigi scheduler test) #open in browser: http://your-server-ip:8082
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Email: meha@kcloudhubs.com
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.
Similar products
This product has charges associated with it for seller support. Luigi is a Python-based workflow orchestration and pipeline management system that helps automate complex data processing tasks, manage task dependencies, and monitor workflow execution through a centralized web interface. It is widely used for building reliable ETL, machine learning, and data engineering pipelines.
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