This product has charges associated with it for seller support. Python is a powerful and versatile programming language used for web development automation and data driven applications. Django and Flask are popular Python web frameworks Django is a high level framework with built in features for rapid secure and scalable development while Flask is a lightweight and flexible framework that allows developers to build customized web applications with full control.
Python Django and Flask on Ubuntu 24.04 with Free Maintenance Support by ATH Infosystems
is a repackaged open-source software offering wherein additional charges apply for
support. This environment combines Python with two widely used
web frameworks, Django and Flask, providing
developers with a flexible platform for building web applications, REST APIs,
backend services, and cloud-native applications.
The pre-configured environment on Ubuntu 24.04 is designed to help developers,
software engineers, DevOps teams, startups, and enterprises quickly build, test,
and deploy Python-based applications with reduced installation and configuration
effort. Django provides a structured, full-featured web development framework,
while Flask provides a lightweight and flexible framework suitable for APIs,
microservices, and custom web applications.
Django follows a batteries-included approach and provides built-in
capabilities for URL routing, database interaction, authentication, administration,
forms, security, and application structure. It is suitable for content-driven
websites, business applications, portals, e-commerce platforms, dashboards, and
larger web applications that benefit from an organized framework.
Flask is a lightweight Python web framework that provides the
essential components for building web applications and APIs while allowing
developers to select additional libraries and tools according to project needs.
Its flexible architecture makes it suitable for REST APIs, microservices,
prototypes, internal tools, and custom backend services.
Key Features:
Python-based web application development environment.
Django framework for structured and full-featured web applications.
Flask framework for lightweight web applications and REST APIs.
URL routing and request handling capabilities.
Database integration and application data management.
Authentication and user management capabilities.
Django administrative interface for application management.
Flask extensions for customizable application functionality.
Support for RESTful API and backend service development.
Suitable for monolithic applications and microservices.
Python package and virtual environment support.
Integration with databases, cloud services, and external APIs.
Suitable for development, testing, and production workloads.
Compatible with modern CI/CD and DevOps workflows.
Development and Deployment:
Python, Django, and Flask can be integrated with common development and DevOps
workflows, including Git-based version control, automated testing, CI/CD pipelines,
containerized deployments, reverse proxies, and cloud infrastructure. Applications
can be deployed on AWS EC2 and integrated with services such as load balancing,
storage, databases, monitoring, and logging according to project requirements.
AWS Deployment:
Pre-configured Python, Django, and Flask environment on Ubuntu 24.04.
Ready-to-use platform for Python web and API development.
Reduced installation and initial configuration effort.
Suitable for AWS EC2 development and application workloads.
Compatible with standard AWS networking, storage, monitoring, and security services.
ATH Infosystems Support:
Installation and environment configuration assistance.
Django and Flask deployment troubleshooting.
Python environment and dependency management assistance.
Maintenance and update support.
Application deployment and operational guidance.
Keywords: Python, Django, Flask, Ubuntu 24.04, Python web framework,
web development, REST API, backend development, microservices, Python applications,
Django framework, Flask framework, API development, web applications, cloud-native
development, CI/CD, DevOps, AWS EC2, open-source development tools,
ATH Infosystems.
Licensing & Disclaimer: Python, Django, and Flask are open-source
software projects distributed under their respective applicable licenses. This AWS
Marketplace offering is independently packaged, maintained, and supported by
ATH Infosystems. Python, Django, Flask, and related trademarks belong to their
respective owners. No warranty, express or implied, is provided with this package.
Highlights
Python is widely used for web development, automation, and AI applications
Django is a fullstack framework with built in features
Flask gives more freedom and control to developers
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.
You pay by the hour based on the EC2 instance size you run. This listing bundles Python Django and Flask on Ubuntu 24.04, with maintenance support. All 21 dimensions charge the same way; they differ only by the underlying compute type you select. Options span burstable general-purpose instances (t2 and t3 families, from nano through 2xlarge), balanced general-purpose instances (m3, m4, m5 large), memory-focused instances (r3, r4, r5 large), and compute-focused instances (c3, c4, c5 large). Larger or specialized instances carry higher hourly rates. You choose the size that fits your workload and pay only for hours used.
Top-of-mind questions for buyers
Am I charged the hourly software fee when my EC2 instance is stopped?
The software fee meters running instance-hours. When you stop an instance, the hourly software charge stops accruing. Stopped instances may still incur underlying AWS storage fees for attached volumes, but those are separate from this listing's per-hour software rate.
What determines the hourly rate I pay across these instance options?
Each dimension maps to one EC2 instance type. You pay the software rate tied to the size and family you launch. Rates differ by compute, memory, and general-purpose families. You pay only for the specific type running, per hour, with no upfront commitment.
Is maintenance support billed separately from the hourly instance charge?
Maintenance support is bundled into this listing. You pay the single hourly rate for the instance type you select, and support is included in that rate. There is no separate line item or additional charge for the support component.
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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/python-projects
#python3 --version
pip3 --version
#source env/bin/activate
#django-admin --version
#python -c "import flask; print(flask.version)"
Open setting files
#cd /opt/python-projects/myproject
nano myproject/settings.py
#Find line :ALLOWED_HOSTS = [ ] and replace with your ip
then run django : #python manage.py runserver 0.0.0.0:8000
Access on broswer :http://your-server-ip:8000
Test flask : # python app.py and open : http://your-server-ip:5000
Support
Vendor support
For product specific assistance, customization, deployment guidance, or technical support, ATH Infosystems provides dedicated expert support to help you meet your unique business needs. To get in touch with our support team, please contact us through our support portal or email: Support Portal: https://www.athinfosys.com/ContactUs.aspx Email: support@athinfosys.com Our team is available to provide assistance, consultation, and issue resolution to help you successfully use and manage your deployed solution. Let us help you unlock the full potential of this product with our specialized services.
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.
This is a repackaged open source software product wherein additional charges apply for support provided by Galaxys. Experience the power of Python 3.10 on the cutting-edge Ubuntu 23.04 platform, meticulously supported and optimized by Galaxys. This AWS Marketplace offering brings you a robust and efficient Python development environment, empowering you to harness the latest language features and enhancements for your projects.
This product has charges associated with it, which includes support from Cloud Infrastructure Services. Python Web Application Framework. Django is Fast, Secure & Scalable for building applications on AWS
This product has charges associated with it for seller support. This is open source software, which is repackaged by Hanwei. The additional cost is applicable to the extended support of 24-hour response time.This AMI contains CentOS Stream 9(with Python-3.10) and includes support.
Pre-configured AMI with Python, CUDA Toolkit, and JupyterLab for seamless development. Ideal for developers and data scientists who need a ready-to-use environment for GPU-accelerated workflows, machine learning, and data analysis without the hassle of manual setup.
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