Overview
pytest 9.0.3 on Ubuntu 26.04 with Free Maintenance Support by kCloud
pytest 9.0.3 on Ubuntu 26.04 is a repackaged open-source Python testing framework available through AWS Marketplace. This offering includes free maintenance support from kCloud, with optional paid support services available for organizations that require advanced assistance, deployment guidance, and operational support.
pytest is one of the most widely used testing frameworks for Python, designed to simplify unit testing, functional testing, integration testing, and automated quality assurance workflows. With its simple syntax, powerful fixtures, rich plugin ecosystem, and detailed test reporting, pytest enables developers to build reliable and maintainable software applications efficiently.
Built on Ubuntu 26.04 LTS and optimized for AWS environments, pytest provides a scalable and efficient testing platform for software developers, QA engineers, DevOps teams, and organizations implementing continuous integration and continuous delivery (CI/CD) practices.
What pytest Does
pytest streamlines software testing by providing a flexible framework for creating, organizing, and executing automated tests. It supports test discovery, parameterized testing, fixtures, mocking, and integration with CI/CD pipelines, helping teams improve code quality and reduce software defects.
Whether you are validating APIs, testing web applications, verifying backend services, or implementing automated regression testing, pytest provides a powerful and extensible platform for software quality assurance.
Why Choose pytest on Ubuntu 26.04?
- Simple and intuitive Python testing framework.
- Automatic test discovery and execution.
- Powerful fixture system for reusable test components.
- Supports unit, integration, functional, and regression testing.
- Extensive plugin ecosystem for enhanced testing capabilities.
- Ideal for CI/CD, DevOps, and software quality assurance workflows.
Technical Highlights
- pytest 9.0.3 pre-installed and configured.
- Ubuntu 26.04 LTS operating system.
- Automatic test collection and execution engine.
- Advanced fixture management and dependency injection.
- Parameterized testing for comprehensive test coverage.
- Detailed assertion introspection and failure reporting.
- Integration with popular CI/CD platforms and developer tools.
- Optimized for AWS Marketplace deployments.
AWS Marketplace Optimized
This solution is designed for quick deployment on Amazon EC2 and integrates seamlessly into modern software development and DevOps environments.
- Pre-configured AWS Marketplace AMI.
- Rapid deployment on Amazon EC2.
- Optimized for software testing and quality assurance workloads.
- Suitable for development, testing, staging, and production environments.
- Easy integration with CI/CD pipelines and DevOps toolchains.
Use Cases
- Python unit testing.
- Integration and functional testing.
- API and microservices testing.
- Automated regression testing.
- Continuous integration and continuous delivery pipelines.
- Quality assurance and software validation.
- Test-driven development (TDD) and behavior-driven development workflows.
Benefits
- Improve software quality and reliability.
- Reduce manual testing effort through automation.
- Accelerate development and release cycles.
- Detect defects early in the development process.
- Enhance test coverage and maintainability.
- Support scalable testing across development teams.
Maintenance Support
Free maintenance support from kCloud helps ensure a stable and reliable deployment experience. Organizations can also choose optional support services for additional operational assistance, troubleshooting, testing environment optimization, CI/CD integration guidance, and deployment support.
Why Choose This AWS Marketplace Solution?
pytest 9.0.3 on Ubuntu 26.04 provides a powerful and flexible automated testing platform for modern software development teams. Optimized for AWS deployments and backed by kCloud maintenance support, it enables organizations to improve software quality, streamline testing workflows, accelerate release cycles, and implement robust quality assurance practices at scale.
Highlights
- Automatic discovery of test files and test functions.
- Powerful fixture system for reusable test setup and teardown.
- Detailed failure reporting and assertion introspection for faster debugging.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.03 |
t2.micro | $0.01 |
t3.micro | $0.03 |
t3.nano | $0.03 |
t3.medium | $0.03 |
t2.2xlarge | $0.03 |
t2.medium | $0.03 |
t2.large | $0.03 |
r3.large | $0.03 |
r4.large | $0.03 |
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 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
ssource pytest-env/bin/activate
pytest --version
pytest
Connect to your Linux instance using an SSH client - Amazon Elastic Compute Cloud Connect to your Linux instances using an SSH client.
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.