Traditional Scripting is Holding Your Network Back
The increasing complexity, scale, and diversity of today’s enterprise network infrastructures demand more efficient, agile, and error-free management approaches. As organizations strive to meet these demands, network automation has emerged as an increasingly critical strategy. However, not all automation approaches are created equal. While many organizations still rely on traditional scripting for network automation, more advanced methodologies like intent-based data model driven automation have emerged, offering significant advantages in managing modern networks.
For years, network engineers have leveraged scripts to automate repetitive tasks and configurations. While scripting has undoubtedly improved efficiency compared to manual processes, it comes with inherent limitations. As networks grow, maintaining and updating scripts becomes increasingly complex and time-consuming, creating scalability issues.