Microsoft Is Open-Sourcing Its Linux Integration Services Automation Image-Testing Service

An anonymous reader quotes a report from ZDNet: Would you believe Microsoft has announced a new Linux distribution service for its Azure cloud service? You should. For many years, the most popular operating system on Azure has not been Windows Server, it's been Linux. Last time I checked, in 2024, Azure Linux Platforms Group Program Manager Jack Aboutboul told me that 60% of Azure Marketplace offerings and more than 60% of virtual machine cores use Linux. Those figures mean it's sensible for Microsoft to make it easier than ever for Linux distributors to release first-class Linux distros on Azure. The tech giant is taking this step, said Andrew Randall, principal manager for the Azure Core Linux product management team, by making 'Azure Image Testing for Linux (AITL) available 'as a service' to distro publishers.'

ATIL is built on Microsoft's Linux Integration Services Automation project (LISA). Microsoft's Linux Systems Group originally developed this initiative to validate Linux OS images. LISA is a Linux quality validation system with two parts: a test framework to drive test execution and a set of test suites to verify Linux distribution quality. LISA is now open-sourced under the MIT License. The system enables continuous testing of Linux images, covering a wide range of scenarios from kernel updates to complex cloud-native workloads. Specifically, the ATIL service is designed to streamline the deployment, testing, and management of Linux images on Azure. The service builds on the company's internal expertise and open-source tools to provide:

- Curated, Azure-optimized, security-hardened Linux images
- Automated quality assurance and compliance testing for Linux distributions
- Seamless integration with Azure's cloud-native services and Kubernetes environments

Krum Kashan, Microsoft Azure Linux Platforms Group program manager, said in a statement: 'While numerous testing tools are available for validating Linux kernels, guest OS images, and user space packages across various cloud platforms, finding a comprehensive testing framework that addresses the entire platform stack remains a significant challenge. A robust framework is essential, one that seamlessly integrates with Azure's environment while providing coverage for major testing tools, such as LTP and kselftest, and covers critical areas like networking, storage, and specialized workloads, including Confidential VMs, HPC, and GPU scenarios. This unified testing framework is invaluable for developers, Linux distribution providers, and customers who build custom kernels and images.'

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