AI-Driven Intent-Based Networking: The Future of Network Management Using AI
We are living in a world where the internet is an inseparable part of our lives, and with the growth of Cloud computing and increased demand for AI/ML-based applications, the demand for network capacity is unstoppable. As networks scale exponentially, classical topologies and designs are struggling to keep in sync with the rapidly evolving demands of the modern IT infrastructure. Network management is getting complex due to the sheer amount of network infrastructure and links. AI-driven intent-based networking emerges as a potential solution, promising to reshape our approach to network management — but is it truly the solution to this problem it claims to be? Let’s dive into its details to understand how intent-based networking will be shaping the future of network management.
What Is Intent-Based Networking?
Traditional intent-based networking (IBN) evolved from software-defined networking (SDN). SDN is a very popular approach in network automation where software-defined controllers and APIs communicate with the physical Infrastructure. IBN is a natural progression of SDN that combines intelligence, analytics, machine learning, and orchestration to automate network management. It translates high-level business intent into network policies to configure the underlying network. IBN abstracts the complex part of underlying hardware, and network configuration to allow users to express their desired intent in natural language.