Edge computing, an evolving paradigm in distributed computing, focuses on processing data close to its source. Linux, known for its versatility and open-source nature, aligns seamlessly with edge computing requirements. Its flexibility, scalability, security features, real-time capabilities, and cost-effectiveness make it an ideal operating system for edge computing. Examples of Linux in edge computing include Industrial IoT, smart cities, healthcare, retail, autonomous vehicles, and agriculture. Despite its advantages, deploying Linux in edge computing faces challenges like resource constraints, device diversity, security concerns, and integration complexity. Looking forward, Linux is expected to play a pivotal role in emerging technologies, edge AI, machine learning, and security innovations, ensuring its continued relevance in the dynamic landscape of edge computing.