Introduction In the world of Linux shell scripting, user interaction is a crucial aspect of creating dynamic, user-friendly scripts. Whether you're automating system maintenance tasks, creating interactive scripts for software installations, or simply gathering input from users, knowing how to prompt for responses is key. This article will walk you through the process of using a **Linux shell script to prompt for user input** with the classic **Yes, No, and Cancel options**. We will explore basic and advanced methods, show how you can process these inputs effectively, and address common issues. Why Use Yes, No, and Cancel in Shell Scripts? When scripting in Linux, you often need to make decisions based on user input. Asking users to respond with "Yes," "No," or "Cancel" provides a simple and effective way to guide the flow of the script. Here are a few practical applications for these prompts: Confirm actions: Before performing potentially risky operat...

Introduction In the world of machine learning and AI, the deployment of Large Language Models (LLMs) has traditionally been a complex task, often requiring expensive infrastructure or cloud-based services. However, Docker's innovative Model Runner is changing the game by allowing developers to run LLMs locally on their machines, without the need for advanced configuration or costly resources. Docker Model Runner is designed to simplify the process of deploying and testing LLMs, empowering developers to experiment with AI models more efficiently. In this article, we will delve into how Docker Model Runner works, its key features, and provide a detailed guide on setting it up for local LLM deployment. Whether you're a seasoned developer or a beginner, Docker Model Runner can significantly enhance your workflow. What is Docker Model Runner? Docker and Its Role in AI Model Deployment Docker is a platform that uses containerization technology to package software and its depend...

Introduction In the ever-evolving landscape of artificial intelligence, the concept of a Multi-agent AI system stands out as a transformative approach to problem-solving. Unlike traditional AI models that function in isolation, multi-agent systems involve multiple autonomous AI agents working collaboratively or competitively to achieve complex goals. From self-driving car coordination to autonomous trading systems and smart factory management, multi-agent systems are becoming integral to modern AI strategies. What is a Multi-agent AI System? Definition A Multi-agent AI system is an architecture where several AI agents operate in a shared environment. Each agent is an intelligent entity capable of: Perceiving its environment Processing data and making decisions Interacting with other agents Adapting based on outcomes Key Characteristics Autonomy : Agents make decisions independently. Collaboration and Competition : Agents may work together or compete. Communication : Agents exchange ...

Introduction Containerization has revolutionized how we build, deploy, and scale applications. Docker has long been the dominant force in this space, but as technology evolves, so do the needs of developers and system administrators. Enter Podman — a powerful, daemonless container engine that addresses many of Docker's limitations. In this comprehensive guide, we explore why Podman is the best Docker alternative . Whether you're a developer, DevOps engineer, or system admin, this guide will help you understand how Podman compares to Docker, and why you might want to make the switch. What is Podman? A Brief Overview Podman (short for Pod Manager ) is a container engine developed by Red Hat. It is designed to manage containers and pods on Linux systems and is fully compatible with the OCI (Open Container Initiative) standards. Key Features Daemonless architecture Rootless container support Docker CLI compatibility Pod concept for grouping containers Better system integration and...

Introduction The Linux kernel is the core of any Linux-based operating system, managing hardware, processes, and system calls. While most users rely on precompiled kernels from their distribution, compiling your own kernel unlocks performance gains, custom functionality, and a deeper understanding of your system. This comprehensive guide walks beginners through the process of compiling the Linux kernel from scratch, including practical examples, tips, and frequently asked questions. Whether you're seeking to improve performance, enable specific hardware, or explore Linux internals, compiling the kernel is a rewarding learning experience. Why Compile the Linux Kernel? Customization Include only the features and drivers you need Optimize kernel size and boot time Performance Tuning Enable real-time or low-latency features Fine-tune memory and CPU scheduling Learning and Troubleshooting Gain in-depth knowledge of Linux internals Debug hardware or system-specific issues Prerequisites B...

Introduction In the rapidly evolving world of DevOps, automating infrastructure is no longer a luxury but a necessity. Tools like Ansible and Terraform are at the forefront of Infrastructure as Code (IaC), offering developers and system administrators powerful ways to define, provision, and manage infrastructure. However, these tools serve different purposes and excel in different areas. If you're wondering whether to choose Ansible or Terraform for your next project, this guide will provide clarity by comparing their architecture, use cases, strengths, and limitations. An Overview of Ansible and Terraform What is Ansible? Ansible is an open-source automation tool developed by Red Hat. It is primarily used for configuration management, application deployment, and task automation. Key Features: Agentless (uses SSH/WinRM) YAML-based Playbooks Push-based model Idempotent tasks Extensive module ecosystem What is Terraform? Terraform, created by HashiCorp, is an open-source tool for ...

Introduction Apache Tomcat is one of the most widely used open-source servlet containers and web servers. Trusted by millions of organizations for its speed, scalability, and flexibility, Tomcat powers applications that rely on Java Servlets and JavaServer Pages (JSP). However, like any software, Apache Tomcat is not immune to vulnerabilities. A critical flaw, CVE-2025-24813, was recently disclosed, which has raised alarm in the IT community. This flaw has the potential to allow attackers to execute malicious actions on affected systems, making it essential for organizations to understand its implications and how to mitigate the associated risks. In this article, we’ll dive deep into the Apache Tomcat flaw CVE-2025-24813, examining what it is, how it works, and how you can protect your systems from its impact. What is Apache Tomcat Flaw CVE-2025-24813? CVE-2025-24813 refers to a security vulnerability in Apache Tomcat versions 9.0.0.M1 through 9.0.98, 10.1.0-M1 through 10.1.34, an...