AI-Powered Network Monitoring and Analytics

AI-Powered Network Monitoring and Analytics Solution

Broadcom has introduced its next-generation network monitoring solution, DX NetOps, powered by Broadcom Silicon. This AI-driven platform is designed for highly scalable operations monitoring and analytics. Its goal is to provide a unified, intelligent view of the user experience across modern IT architectures, leveraging advanced AI capabilities.

From data silos to a unified intelligence layer

DX NetOps aggregates inventory and topology data, device metrics, fault logs, flow information, and packet analysis into a centralized insights platform, enabling network operations teams to take immediate and informed optimization actions.

When combined with Broadcom’s AIOps platform, DX NetOps allows IT teams to establish proactive, autonomous troubleshooting for IT infrastructure, applications, and network systems — helping to secure a consistently improved digital experience for end users.

Tackling today’s network bottlenecks

Powered by Broadcom Silicon, DX NetOps enables scalable monitoring across 5G, IoT, cloud, and SD-WAN environments, using modern AI and machine learning technologies. By capturing data directly at the chip level in real time — both on Broadcom chips and endpoint devices — the solution delivers a significant differentiator in the market: the ability to ensure visibility and performance where it matters most.

DX NetOps builds on Broadcom AIOps and serves as a trusted proof point for Broadcom BizOps IT operations analytics. The AIOps solution includes intelligent automation features that help IT teams predict and resolve problems before they impact user experience.

Strengthening SD-WAN monitoring through partnerships

Broadcom has expanded the analytics capabilities of DX NetOps to deliver deeper visibility into SD-WAN user experience, partnering strategically with Silver Peak (now HPE Aruba), VMware VeloCloud, and 128 Technology.

The enhanced application-centric optimization technology allows enterprises to unify real-time monitoring across multi-vendor SD-WAN implementations. This creates a single consolidated view that spans network devices, infrastructure layers, and applications — regardless of vendor.

Why this matters now

As enterprises continue to adopt cloud-native architectures, remote work infrastructures, and AI-driven business models, having a complete, real-time view of digital operations is no longer optional. With integrated AI and machine learning, organizations gain the ability to truly understand application behavior, eliminate blind spots, and optimize SD-WAN investments for the future.