In today’s digital environments, slow is the new down. As users continue to grow increasingly accustomed to rapid response—and less willing to wait—slow application performance continues to be highly problematic for organizations. While downtime of major services can make headlines, it is more often slow performance that hurts businesses, ultimately stifling productivity and profits.

The landscape of enterprise networking has undergone tremendous change in recent years. Widespread adoption of software-defined networking (SDN), the proliferation of multi-cloud environments, the rise of edge computing, and the implementation of zero-trust security models have collectively reshaped network architectures. While these trends bring unprecedented flexibility and scalability, they have also exponentially increased complexity.

At AppNeta we talk a lot about network performance, but sometimes a user experience issue lies with the application itself. As network operations teams rarely have full visibility into the applications that drive the business, getting metrics to isolate when the app is the problem is crucial to ensure low mean time to repair (MTTR) and reduce mean time to innocence (MTTI). When it is an app issue, understanding how your web application performs is crucial for ensuring a positive user experience.

The AppNeta by Broadcom product team has been focused on enhancing the solution’s capabilities for monitoring setup and administration. This evolution began with the introduction of Monitoring Policies, which provided a framework for setting up monitoring in a scalable, automated fashion. Following this, we added new network rules that made it simple to select and tag the networks that should be monitored.

Our thinking and use of topology within AIOps and Observability solutions from Broadcom has advanced significantly in recent years while solidly building on our innovative domain tools. We’re looking to communicate these innovations, advancements, and benefits for IT operations. In this blog, we continue where the previous blog left off to explain the boundary blame concept and mechanism to obtain a sufficiently complete topology.