BE Networks announced a new partnership with Edgecore Networks to deliver a joint solution to customers seeking to revolutionize how new or existing Edgecore campus and data center networks can be managed, automated, and monitored.
Using IBN methodologies and streamlined automation, The BE Networks orchestration platform, named Verity, helps enterprise IT teams design, deploy, and manage networks with an intuitive graphical interface that enables operators to focus on the high-level tasks of delivering services to endpoints – the intent – eliminating the need to focus on the time-consuming, error-prone tasks of network service implementation.
Verity also acts as a Network Source of Truth (NSoT), enabling network operators to search, filter, and visualize the current and historical state and performance of every aspect of the network fabric. The deep observability provided greatly reduces event troubleshooting and remediation times, meaningfully increasing network uptime.
Through this partnership, Verity now supports a wide range of Edgecore Networks' switch hardware and supported network operating system (NOS) software, empowering network teams to design and deploy networks that meet their specific needs. This includes network switching hardware running SONiC, EdgeCOS, and BE Networks BENOS network operating systems. Both BE Networks and Edgecore are contributing organizations to the SONiC Foundation.
Helping customers to rethink how campus networks can be intelligently managed, the joint product offering also prevents proprietary vendor lock-in while lowering the overall total cost of ownership.
"BE Networks Verity is a perfect solution for businesses that wish to manage their existing or new campus and data center networks using advanced orchestration and intent-based network methodologies," said BE Networks CEO, Amir Elbaz. "We're thrilled to be partnered with Edgecore Networks and fully support their line of enterprise-grade switch hardware. With the ability to choose from a range of network operating system software including SONiC, the partnership gives customers tremendous architectural flexibility with the added benefit of software-defined orchestration."
"Edgecore is committed to providing open networking solutions for seamlessly managing data center and campus networks through our partner ecosystem," said Nanda Ravindran, VP of Product Management at Edgecore Networks. "Our strategic partnership with BE Networks not only reinforces this commitment, but also provides businesses the latitude to harness the full potential of robust hardware platforms. The collaboration offers customers a compelling blend of innovation and adaptability, ushering in an era of software-defined orchestration and unprecedented architectural freedom."
Verity licenses can now be purchased directly through the Edgecore product ecosystem using a simplified, per-switch model and without complicated feature tiering. Additionally, customers receive tier-1 and tier-2 technical support directly through the world-class Edgecore Help Center. This support model affords added convenience to customers when troubleshooting network hardware, software, and fabric orchestration issues.
The Latest
For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...
FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...
Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...
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 ...