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 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.
Overview
Luigi 3.8.1 on Ubuntu 26.04 with Free Maintenance Support by kCloud
Luigi 3.8.1 on Ubuntu 26.04 is an open-source Python workflow orchestration framework designed to build, schedule, and monitor complex data processing pipelines. It provides a simple yet powerful way to manage task dependencies, automate ETL workflows, and coordinate large-scale data engineering processes. This solution includes free maintenance support from kCloud and optional enterprise-grade support for advanced workflow automation and production deployments.
Luigi enables developers and data engineers to define tasks as Python classes, automatically resolve dependencies, manage execution order, and track workflow progress through a centralized scheduler and web-based monitoring interface. It is widely used for data pipelines, machine learning workflows, batch processing, and business automation systems.
What Luigi Does
Luigi automates the execution of complex workflows by managing dependencies between tasks, scheduling jobs, tracking execution status, and handling workflow failures. It helps organizations build reliable data pipelines that can process, transform, and move data efficiently across multiple systems.
Key Features
- Open-source workflow orchestration framework for Python applications.
- Automatic dependency resolution and task scheduling.
- Built-in centralized scheduler for workflow coordination.
- Web-based dashboard for monitoring pipeline execution.
- Scalable architecture for batch processing and ETL workloads.
- Extensible integration with databases, cloud services, and data platforms.
Technical Highlights
- Luigi 3.8.1 deployment optimized for Ubuntu 26.04 LTS.
- Python-based task definitions and workflow management.
- Centralized scheduler with dependency tracking and execution control.
- Web UI accessible via port 8082 for workflow monitoring.
- Support for local, distributed, and cloud-based data pipelines.
- Lightweight and modular design suitable for enterprise automation.
AWS Marketplace Benefits
- Pre-configured workflow orchestration platform ready for immediate deployment.
- Reduces setup time for ETL and data pipeline automation.
- Optimized for cloud-based data engineering workloads.
- Scalable solution suitable for small projects and enterprise environments.
- Improves workflow reliability, visibility, and operational efficiency.
Use Cases
- Building ETL and data transformation pipelines.
- Automating machine learning and analytics workflows.
- Managing batch processing and scheduled jobs.
- Coordinating data movement across multiple systems.
- Workflow orchestration for business process automation.
- Monitoring and managing complex task dependencies.
Accessing Luigi Web Interface
After deployment, access the Luigi Scheduler Web UI using your web browser:
- http://YOUR_SERVER_IP:8082
- http://YOUR_PUBLIC_DNS:8082
Ensure that TCP port 8082 is allowed in your AWS Security Group settings.
Maintenance Support
kCloud provides free maintenance support for Luigi 3.8.1 deployments, helping ensure stable workflow execution, scheduler reliability, and configuration assistance. Optional premium support is available for advanced pipeline design, performance optimization, security hardening, cloud integration, and enterprise-scale workflow architecture.
Why Choose This Solution?
Luigi 3.8.1 on Ubuntu 26.04 delivers a robust and developer-friendly workflow orchestration platform for managing data pipelines and automated processes. With its Python-native design, centralized scheduling capabilities, and intuitive monitoring interface, it is an ideal solution for organizations seeking reliable, scalable, and maintainable workflow automation in the cloud.
Highlights
- Automates complex data pipelines with dependency-aware workflow scheduling.
- Centralized scheduler and web dashboard for workflow monitoring and management.
- Supports batch processing, machine learning workflows, and business automation tasks.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
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 | $0.03 |
t3.micro | $0.03 |
t2.micro | $0.01 |
t3.nano | $0.03 |
t2.2xlarge | $0.03 |
t2.medium | $0.03 |
t3.medium | $0.03 |
t2.large | $0.03 |
r4.large | $0.03 |
r3.large | $0.03 |
Vendor refund policy
No Refund
Legal
Vendor terms and conditions
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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 June/2026
Additional details
Usage instructions
Connect you 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/luigi-src
source /opt/luigi313-env/bin/activate
pip show luigi
python -c "import luigi; print(luigi.version)"
luigid --port 8082
Open a web browser and navigate to: http://YOUR_SERVER_IP:8082
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance mail: 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 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.
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