testing

All posts tagged testing by Linux Bash
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    In the world of software development, particularly in systems programming, understanding how an application behaves under erroneous conditions, such as memory access violations, is crucial. This typically involves exploring how your program responds to various signals such as a segmentation fault (SIGSEGV). In this article, we will explore how to intentionally trigger a segmentation fault in a Bash script to test signal handling mechanisms. Q: What is a segmentation fault? A: A segmentation fault (often abbreviated as segfault) is a specific kind of error caused by accessing memory that “does not belong” to you. It's a way your program tells you that you are attempting to access memory in a way that is not allowed.
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    In the ever-evolving landscape of software development, DevOps has become invaluable in fostering collaboration, enhancing deployments, and increasing the speed of delivery. However, as organizations strive to integrate this culture, they often face significant hurdles when dealing with legacy systems. These older systems can be resistant to change due to their architecture, dependencies, and lack of compatibility with modern tools. In this article, we explore practical strategies and approaches using Linux Bash that can help bridge the gap between traditional operations and modern DevOps practices.
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    Testing is an essential part of software development that helps in ensuring the consistency, reliability, and functionality of code. pytest is one of the most popular testing frameworks in Python due to its simplicity, scalability, and ability to handle complex test scenarios. In this post, we will guide you through installing pytest on a Linux system using various package managers and introduce you to its basic usage. pytest is a robust Python library for writing and running tests. It supports unit, functional, and integration testing. pytest makes it easy to create simple tests yet scales to support complex functional testing for applications and libraries.
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    Rolling release distributions are known for their constant updates, providing the latest software and features to their users. Unlike standard release cycles that update infrequently, rolling releases continuously receive updates, ensuring that systems run the newest and most secure versions of all packages. Among the various rolling release distributions, openSUSE Tumbleweed stands out for its balance between cutting-edge technology and stability. Testing these distributions, especially for new users or developers, can be an insightful journey. openSUSE Tumbleweed is a powerful Linux distribution that embodies the principles of a rolling release system.
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    Upgrading software packages on a Linux system is essential for security, performance, and feature enhancements. However, this process can sometimes become a double-edged sword as new package versions might introduce breaking changes or compatibility issues. Fortunately, containerization offers a robust solution for testing package upgrades in isolated environments, minimizing the risk to production systems. This blog explores how to use containerization to test package upgrades with specific instructions for popular Linux package managers: apt, dnf, and zypper. Containerization is a lightweight alternative to full machine virtualization that involves encapsulating an application in a container with its own operating environment.
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    When it comes to managing packages on Linux systems, different distributions come with different tools tailored to their specific needs. For those working across multiple distributions, it becomes essential to master these tools. In this blog post, we'll focus on exploring and testing Zypper commands within a virtualized environment while also touching on how to handle similar tasks with apt and dnf, the package managers for Debian-based and Fedora-based systems respectively. Testing in a virtualized environment allows users to experiment without risking their main operating system. Changes are confined to the virtual machine, and can easily be reverted to a snapshot if something goes wrong.