Automatización de redes: caso práctico ancho de banda y establecimiento de roles

Abstract

Network automation has become a crucial tool for optimizing the management of technological infrastructures; its implementation improves operational efficiency and enables more effective resource management. This study, focused on networking and programming, presents a practical case aimed at automating bandwidth management and role assignment in an emulated network environment. This approach addresses the need to reduce manual intervention in network configuration, resulting in time savings and a decrease in human errors. A network environment was implemented using Python, VMware, GNS3, Lubuntu, and Cisco C7200 routers, following the PDCA (Plan-Do-Check-Act) methodology. This approach made it possible to manage network traffic more efficiently and assign roles dynamically, leading to more precise administration and a significant reduction in configuration time compared to traditional manual methods. The results demonstrate that automation not only enhances network stability and performance but also optimizes bandwidth usage and simplifies its management. Additionally, this strategy reduces the operational workload and contributes to a more efficient management of technological infrastructures. As a future research direction, integrating artificial intelligence for improved decision-making in network configuration and extending automation to more complex infrastructures is suggested. This would enable a higher level of efficiency and adaptability to different technological scenarios.