For today’s network operations teams, change is a constant. Applications, app delivery chains, software-defined and physical infrastructures, cloud services, and more are in continuous flux. Further, as organizations continue to pursue ever more strategic digital transformation efforts, the pace of this change only accelerates. These days, about the only constant is the demand being placed on network operations teams.

In a relatively short period of time, networks have grown much bigger, much more complex, and much more critical to the ongoing operation of the business. Quite simply, while ensuring optimized network services has never been more critical, it’s also never been more difficult. In many large enterprises, network operations teams are seeing tens of thousands of endpoints added to already complex internal environments.

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.

For today’s enterprises, there’s no good time for network downtime. In this post, we detail how DX NetOps by Broadcom provides advanced capabilities that help teams minimize outage incidents and duration. We then offer an example of how these capabilities benefited a leading telecommunications provider in the UK, fueling an 80% reduction in alarm noise and a 40% decrease in mean time to resolution.

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.