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.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
