
Riverbed Technology announced Riverbed SteelFusion 4.2 will support VMware vSphere 6.
The support for VMware vSphere in SteelFusion 4.2 builds upon the long-standing partnership between the two companies, delivering superior business agility, information security and application performance to mutual customers across their remote and branch office (ROBO) locations.
Riverbed SteelFusion is a hyper-converged infrastructure solution that centralizes 100% of data and physical servers from remote sites into data centers without compromising local performance and availability of applications at ROBO locations. This enables IT to extend the security, resiliency and efficiency of infrastructure managed in centralized data centers out to every remote location where business is conducted – including regional offices, local stores, banks, manufacturing plants, hospitals, government centers, law firms and other locations – resulting in greater agility, less risk and reduced costs to the business. Today’s release follows the April SteelFusion 4.0 release, in which the hardware platforms were completely updated and redesigned to deliver increased performance and scalability for remote sites and regional hubs of all sizes.
“IDC recently completed an extensive lab validation of the Riverbed SteelFusion solution, in which we observed its tight integration with the VMware ecosystem, including vSphere and VMware vCenter Server,” said Rohit Mehra, VP, Network Infrastructure, at IDC. "VMware customers using SteelFusion will now have the unique ability to provision new branch services and sites with ease and agility, directly from a centralized data center without affecting user experience in remote locations. IDC also believes VMware Horizon running on SteelFusion is a notable differentiating feature that increases business agility.”
“As a longtime VMware partner, our mutual customers can feel confident when a new version of vSphere is released,” said Paul O’Farrell, SVP and GM, SteelHead and SteelFusion, at Riverbed. “The latest release of Riverbed SteelFusion 4.2 with VMware vSphere 6 is a testament of our ongoing collaboration with VMware, as Riverbed pushes the boundaries of hyper-converged technology to the edge, delivering on the promise of zero branch IT.”
"Riverbed and VMware have partnered closely over the years to provide our customers with IT infrastructure that is flexible and easy to use. Our partnership and support from Riverbed provides a powerful platform that can exceed our mutual customers’ business needs," said Howard Hall, Senior Director, Global Technology Partner Organization, VMware. "With SteelFusion and VMware vSphere 6, the leading virtualization platform, branch offices are empowered to increase agility without compromising user productivity."
SteelFusion 4.2 will be available in November.
The Latest
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 ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.