
VIAVI Solutions acquired Expandium, a provider of core network monitoring and assurance solutions powered by big data, based in Saint-Herblain, France.
This acquisition augments VIAVI’s network assurance portfolio with a cloud-native virtualized solution offering, in alignment with virtualization initiatives at Tier-1 service providers worldwide.
In order to manage operations and customer experience across generations of technology, between wireless and wireline networks, and into new domains such as IoT and V2X, carriers are moving away from proprietary hardware to software-defined services running on off-the-shelf servers. The network itself becomes disaggregated, no longer a topology of discrete nodes, but a more dynamic and shapeable environment which can adapt to rapidly changing demand. The entire ecosystem supporting the network must evolve accordingly, replacing hardware-based solutions with containerized virtual machines which can respond dynamically as the network shifts.
As VIAVI continues to virtualize its NITRO Mobile portfolio of core and RAN assurance solutions, the company’s acquisition of Expandium adds cloud-native, microservices-based, and 5G-ready mobile core assurance technologies. Expandium uses advanced techniques such as machine learning, stream processing and pattern detection within a platform that is vendor-independent and can connect to heterogeneous data sources, offering analytics and insights for network monitoring, troubleshooting, fraud detection, and more.
“Our major service provider customers are reporting that up to 75 percent of their networks have already been virtualized, and they are expecting their vendors to deliver products that will fit into the new fully virtualized 5G SA architecture,” said Sameh Yamany, CTO, VIAVI. “Through our close collaboration with these customers, we have evolved our assurance technologies to seamlessly bridge the physical, virtual and disaggregated core and RAN. The combination of VIAVI and Expandium will enable us to deliver innovative 5G solutions that offer seamless, virtualized visibility for real intelligence and insight to support even the most aggressive virtualization initiatives.”
In addition to its solutions for mobile network operators, Expandium is also a leader in monitoring platforms for railway mobile services, including GSM-R and migration to LTE-R and FRMCS. VIAVI will continue to support Expandium’s position in this market. Terms of the acquisition are not being disclosed.
The Latest
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 ...
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 ...