The rapid adoption of AI and machine learning workloads, in combination with existing cloud-native applications, demands a network fabric at scale, with release cycles compressed from months to hours.

Enterprises are wrestling with some major technology challenges, but three of the biggest are sprawling tech stacks and legacy constraints and rising integration costs. Fortunately, there is a quiet ...