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Broadcom Releases DX NetOps

Broadcom announced the availability of DX NetOps powered by Broadcom Silicon,an AI-driven, high scale operations monitoring and analytics solution.

Captured at the chip level for advanced network triage and remediation, DX NetOps delivers fine-grain per packet and flow level visibility to mitigate complex network congestion.

“Today’s businesses are now hyper-connected, reliant upon complex infrastructures, multi-cloud environments connecting billions of devices through a mesh of networks. This means more congestion and less visibility to triage the delivery of today’s digital experience,” said Serge Lucio, VP and GM, Enterprise Software Division, Broadcom. “In this complex environment, businesses demand a new approach to network monitoring to solve the new network congestion issue, one that is AI-driven, self-healing and powered by silicon.”

Broadcom provides next-generation high-scale operations monitoring that simplifies 5G, IoT, Cloud and SD-WAN deployments by applying AI and ML to the rich granular data captured at the chip level— enabling a unique automated AI-driven solution that remediates network congestion.

DX NetOps leverages AIOps from Broadcom and acts as a trusted proof point for the IT Operations analytics offered in BizOps from Broadcom. AIOps from Broadcom includes new intelligent recommendations and auto-remediation capabilities that help IT teams predict and prevent problems before they impact user experience.

“SD-WAN, 5G and edge compute technologies are key enablers for network agility but their dynamic nature introduces unique monitoring challenges, making it more difficult to detect, debug and remediate problems that degrade service delivery,” said Sudip Datta, head of AIOps and Monitoring, Enterprise Software Division, Broadcom. “DX NetOps powered by Broadcom silicon and BroadView™ Telemetry provides unparalleled granular, per-packet and flow-level insights that could potentially save our customers millions of dollars in lost revenue due to network bottlenecks.”

“Artificial Intelligence has the potential to fundamentally transform the networking landscape and deliver superior network optimization,” said Ram Velaga, SVP and GM, Core Switching Group, Broadcom. “AI capabilities critically depend on the quality and depth of the data. Powered by Broadcom silicon, BroadView Instrumentation delivers real-time network telemetry at packet level granularity in a scalable manner to differentiate the DX NetOps AI-driven next-gen network monitoring solution in the industry.”

Broadcom enhanced its analytic capabilities in the DX NetOps platform that now enables network operations teams to reliably deliver applications experiences over SD-WAN technologies built on Silver Peak, VMware (VeloCloud) and 128 Technology. Enhanced application-aware optimization technology allows enterprises to centralize real-time application monitoring across their multi-vendor SD-WAN deployments in a unified view that includes existing multi-vendor network devices, infrastructure layers and applications.

With the rise of modern architectures required to support digital business initiatives, it is imperative that enterprises have comprehensive visibility coupled with AI and machine learning capabilities to truly understand application behavior and optimize their SD-WAN investments.

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Broadcom Releases DX NetOps

Broadcom announced the availability of DX NetOps powered by Broadcom Silicon,an AI-driven, high scale operations monitoring and analytics solution.

Captured at the chip level for advanced network triage and remediation, DX NetOps delivers fine-grain per packet and flow level visibility to mitigate complex network congestion.

“Today’s businesses are now hyper-connected, reliant upon complex infrastructures, multi-cloud environments connecting billions of devices through a mesh of networks. This means more congestion and less visibility to triage the delivery of today’s digital experience,” said Serge Lucio, VP and GM, Enterprise Software Division, Broadcom. “In this complex environment, businesses demand a new approach to network monitoring to solve the new network congestion issue, one that is AI-driven, self-healing and powered by silicon.”

Broadcom provides next-generation high-scale operations monitoring that simplifies 5G, IoT, Cloud and SD-WAN deployments by applying AI and ML to the rich granular data captured at the chip level— enabling a unique automated AI-driven solution that remediates network congestion.

DX NetOps leverages AIOps from Broadcom and acts as a trusted proof point for the IT Operations analytics offered in BizOps from Broadcom. AIOps from Broadcom includes new intelligent recommendations and auto-remediation capabilities that help IT teams predict and prevent problems before they impact user experience.

“SD-WAN, 5G and edge compute technologies are key enablers for network agility but their dynamic nature introduces unique monitoring challenges, making it more difficult to detect, debug and remediate problems that degrade service delivery,” said Sudip Datta, head of AIOps and Monitoring, Enterprise Software Division, Broadcom. “DX NetOps powered by Broadcom silicon and BroadView™ Telemetry provides unparalleled granular, per-packet and flow-level insights that could potentially save our customers millions of dollars in lost revenue due to network bottlenecks.”

“Artificial Intelligence has the potential to fundamentally transform the networking landscape and deliver superior network optimization,” said Ram Velaga, SVP and GM, Core Switching Group, Broadcom. “AI capabilities critically depend on the quality and depth of the data. Powered by Broadcom silicon, BroadView Instrumentation delivers real-time network telemetry at packet level granularity in a scalable manner to differentiate the DX NetOps AI-driven next-gen network monitoring solution in the industry.”

Broadcom enhanced its analytic capabilities in the DX NetOps platform that now enables network operations teams to reliably deliver applications experiences over SD-WAN technologies built on Silver Peak, VMware (VeloCloud) and 128 Technology. Enhanced application-aware optimization technology allows enterprises to centralize real-time application monitoring across their multi-vendor SD-WAN deployments in a unified view that includes existing multi-vendor network devices, infrastructure layers and applications.

With the rise of modern architectures required to support digital business initiatives, it is imperative that enterprises have comprehensive visibility coupled with AI and machine learning capabilities to truly understand application behavior and optimize their SD-WAN investments.

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...