Riverbed Technology announced the signing of a definitive agreement to acquire Xirrus, a provider of next generation Wi-Fi networks.
The acquisition of the privately-held company will expand Riverbed’s market leading SD-WAN (software-defined wide area network) and cloud networking solution Riverbed SteelConnect with the integration of a robust and proven suite of advanced, high density and cloud-managed Wi-Fi solutions, offering Riverbed customers and partners the power of unified connectivity and policy-based orchestration that spans the entire distributed network – WAN, LAN/WLAN, data center and the cloud. Riverbed will also continue to offer Xirrus as a stand-alone enterprise WLAN solution.
“Xirrus is a strategic acquisition for Riverbed, providing us with a leading enterprise-grade Wi-Fi solution, and enhancing SteelConnect to deliver an unmatched SD-WAN offering that will help further fuel our growth in this hot market,” said Jerry M. Kennelly, Riverbed Chairman and CEO. “In today’s digital, cloud, and mobile world, enterprise networks are more complex and unpredictable than ever before and IT is struggling to manage all of this. A fundamental rethink to networking is required and with this acquisition, Riverbed and our partners are uniquely positioned to provide CIOs and businesses with a software-defined networking approach that delivers unified connectivity and orchestration across the entire network.”
Riverbed SteelConnect is a highly differentiated SD-WAN solution offering: unparalleled simplicity and improved agility with centralized and unified management spanning the entire network fabric with policy-based orchestration and one-click connectivity to Amazon Web Services (AWS) and Microsoft Azure; superior performance with integrated WAN optimization and visibility; network and application intelligence with business intent-based policies and user experience driven control. By adding Xirrus, the power of policy-based orchestration by SteelConnect will be further extended to the wireless edge.
“Legacy approaches to network management have become completely untenable. IT must move beyond the days of managing individual network devices using arcane CLI commands and scripts and instead move to software-defined approaches that are based on global policies, automation and orchestration,” said Paul O’Farrell, SVP of the Riverbed SteelConnect, SteelHead and SteelFusion Business Unit. “The SteelConnect offering is unique in that it is the first SD-WAN solution that has extended the power of policy-based orchestration out to the broader reaches of the distributed network. By combining the advanced Wi-Fi capabilities of Xirrus and SteelConnect’s intuitive and powerful orchestration, we’re taking a bold step to bring the power of policy-based network management out to the wireless edge.”
“Together with Riverbed, we embrace a tremendous opportunity to create the world’s first SD-WAN solution that covers the core to the edge of the network,” said Shane Buckley, CEO of Xirrus. “The integration of our solutions combines best-of-breed federated identity and application control with differentiated SD-WAN technology, addressing the stringent requirements of today’s cloud, mobile and digital world. We are thrilled to be part of the Riverbed family and continue to thrive in this fast-growing, critical market.”
“A key facet of network transformation is convergence at the enterprise branch as IT/network managers look to unify network operations and management across wired and wireless LANs and WANs, all within the context of a cloud-enabled architecture,” said Rohit Mehra, Research Vice President, Network Infrastructure, IDC. “With this acquisition, Riverbed is well positioned to address this shift, adding an enterprise-grade WLAN solution to a broader enterprise branch offering with SD-WAN that also integrates industry-leading WAN optimization and visibility.”
Riverbed plans to offer Xirrus solutions through its robust partner ecosystem.
The Latest
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...