Overview
CherryPy on Ubuntu 24.04 with maintenance support by bCloud. This is a repackaged open source software product wherein additional charges apply for support. It operates as a standalone web server while providing a flexible and intuitive architecture for handling HTTP requests. Unlike larger frameworks, CherryPy follows a minimalist approach, enabling developers to write web applications similarly to regular Python programs without requiring extensive boilerplate code.
Highlights
- CherryPy comes with a production ready, multi threaded HTTP server, eliminating the need for an external web server
- Applications written in CherryPy follow a natural Pythonic style, using classes and methods to define web routes, making development intuitive and reducing complexity.
- CherryPy supports plugins, middleware, and custom configurations, making it adaptable for applications of various sizes while maintaining performance and stability.
Details
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Pricing
Dimension | Cost/hour |
---|---|
m4.large Recommended | $0.06 |
t2.micro AWS Free Tier | $0.001 |
t3.micro AWS Free Tier | $0.06 |
t2.large | $0.06 |
r3.large | $0.06 |
r4.large | $0.06 |
t3.large | $0.06 |
t3.nano | $0.06 |
t3.medium | $0.06 |
t2.2xlarge | $0.06 |
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
Packaged with latest updates as of Feb/2025
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 #sudo apt update #source myenv/bin/activate #pip show cherrypy
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