Broadcom announced its intent to acquire privately held AppNeta Inc. headquartered in Boston, MA.
AppNeta is a provider of a SaaS-based network performance monitoring solution for the distributed enterprise, providing IT teams with precise, end-to-end visibility into network performance from the end user's point of view, independent of what network they use to access applications.
With AppNeta's SaaS-based solution, IT and Network Ops teams at large, distributed enterprises can quickly pinpoint issues that affect network and business-critical cloud application performance, regardless of where they occur.
By combining AppNeta's end-to-end visibility with Broadcom's award-winning and proven Infrastructure and AIOps capabilities, the world's largest enterprises running the most complex networks will now have access to a single source of truth to support their cloud journey.
"We are excited about the new Digital Experience Management (DEM) capabilities AppNeta will add to our DX NetOps network monitoring solutions. Hybrid cloud deployments, work from home, and prevalence of SaaS-based applications have made enterprises incredibly reliant on the Internet to deliver business-critical applications to employees and customers," said Serge Lucio, vice president and general manager, Enterprise Software Division, Broadcom. "Visibility and control for most performance management teams ends at corporate network boundaries. With AppNeta, DX NetOps solutions by Broadcom Software have visibility into Internet connections and can monitor and manage digital experiences for any user across any cloud, mobile, SaaS or remote work scenario."
"The enterprise network monitoring market has completely transformed in the past two years, with a much deeper focus on managing how network performance impacts end user productivity," said Stephen Elliot, Group VP, I&O, Cloud Operations, and DevOps at IDC. "Organizations that can pinpoint performance issues affecting digital experience will gain a strategic advantage by ensuring excellent quality of service independent of user location."
The Latest
While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...
A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...
In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability...
While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...
Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...
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 ...