Overview
This product provides Python 3.9 integrated with Amazon Linux 2023 and delivered as an Amazon Machine Image (AMI) by ThinkCloud. The image includes a pre-configured, security-hardened development environment with Python 3.9.25, Docker 25.0.14, Node.js 18 LTS, nginx 1.28, AWS CLI v2, Git, GCC, GNU Make, and jq.
The environment supports Python virtual environments, Flask, Django, FastAPI, REST APIs, scripting, automation, data processing, CI/CD builds, containerized development, and nginx reverse-proxy workflows.
Marketplace software charges cover seller-performed software and operating-system integration, preparation of the Python, container, web, and cloud tooling, application of the verified hardening baseline, repeatable image construction, and final AMI testing. Support and maintenance are supplementary services and are not the sole basis for the software charges.
Highlights
- Complete dev stack - Python 3.9 with Docker, Node.js, nginx, and AWS CLI pre-installed. Everything you need for full-stack development in one AMI.
- Security hardened - Built on Amazon Linux 2023 with automatic security updates, key-based SSH only, and minimal attack surface.
- Production workflow ready - From coding to containerization to deployment. Virtual environments, Docker builds, and AWS integration out of the box.
Details
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Features and programs
Financing for AWS Marketplace purchases
Pricing
- ...
Dimension | Cost/hour |
|---|---|
t3.medium Recommended | $350.00 |
t3.micro | $350.00 |
c6id.8xlarge | $350.00 |
c6in.24xlarge | $350.00 |
c6i.xlarge | $350.00 |
t3a.small | $350.00 |
m6in.8xlarge | $350.00 |
m6in.large | $350.00 |
c6id.large | $350.00 |
c6in.12xlarge | $350.00 |
Vendor refund policy
No Refund
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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
Python3 dev on Amazon Linux 2023
Additional details
Usage instructions
SSH to the instance and login as 'ec2-user' using the key specified at launch. Additional information may be found at : https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html After entering the system, please check the Readme file under the /root path, which contains detailed configuration information
Support
Vendor support
If you encounter problems in the process of using the system, please feel free to contact us by email: support@thinkclouds.ai . Thank you!
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.