Skip to main content

Riverbed Joins Wind River Titanium Cloud Ecosystem

Riverbed Technology joined the Wind River Titanium Cloud ecosystem, a program dedicated to accelerating the deployment of solutions for Network Functions Virtualization (NFV).

Now validated for interoperability with solutions from the Titanium Cloud ecosystem, Riverbed SteelHead delivers comprehensive visibility, optimization and control for any application across any network to ensure application performance no matter where users are located.

By validating and pre-integrating their hardware and software offerings with Wind River Titanium Server, Titanium Cloud ecosystem partners deliver optimized solutions to help accelerate time-to-market for service providers and telecom equipment manufacturers (TEMs) deploying infrastructure based on NFV. Service providers and TEMs can confidently select these hardware and software products knowing that they are pre-validated with Titanium Server and ready for deployment in live networks.

The Riverbed SteelHead integration with Wind River’s Titanium Server is designed to equip service providers with complete application visibility, optimization and control across software-defined wide area networks (WANs), resulting in superior application performance, reduced downtime, and an improved ability to meet and exceed service level agreements (SLAs) with their customers. Together, Riverbed and Wind River enable service providers to orchestrate SteelHead so that they can take advantage of SteelHead’s industry-leading WAN optimization capabilities including:

- Application and network control with quality of service (QoS), path selection and secure transport features

- Network visibility with end-user monitoring for all optimizing application traffic – including web-based, on-premises and SaaS applications

- Dynamic selection of the best application path (MPLS or internet) based on network availability and business intent

“With our rich history in superior application performance over any network – from the data center to the branch to the cloud - no matter where end users are located, Riverbed is helping distributed hybrid enterprises be more agile,” said Katie Colbert, VP, Global Technology Alliances, Riverbed Technology. “As a member of the Titanium Cloud ecosystem we are excited to join forces with Wind River to assist customers in reaching their NFV objectives, and move previously static network functions into the flexible virtualized world.”

“Service providers are looking for validated and market-ready end-to-end NFV solutions. To address this need, collaboration across the ecosystem is essential,” said Charlie Ashton, Senior Director of Business Development for Networking Solutions at Wind River. “Through our Titanium Cloud program, we are partnering with leaders like Riverbed to create optimized, interoperable solutions for service providers and TEMs who are deploying NFV in their networks. While Wind River’s Titanium Server provides a foundation for Carrier Grade NFV infrastructure, by leveraging other pre-validated NFV elements service providers can quickly achieve their goals such as reducing OPEX while accelerating the introduction of new high-value services."

Titanium Server is a carrier grade NFV infrastructure software solution that is designed to meet the stringent "always on" requirements of the telecom industry. With Titanium Server as the NFV infrastructure software foundation, the telecom industry can take full advantage of rapid service deployment while ensuring the Carrier Grade uptime and strict reliability mandated by telecom networks. Titanium Server is based on open software standards including carrier grade Wind River Linux, real-time Kernel-based Virtual Machine (KVM), carrier grade plugins for OpenStack, Data Plane Development Kit (DPDK), and accelerated virtual switching, all optimized for Intel architecture platforms.

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.

Riverbed Joins Wind River Titanium Cloud Ecosystem

Riverbed Technology joined the Wind River Titanium Cloud ecosystem, a program dedicated to accelerating the deployment of solutions for Network Functions Virtualization (NFV).

Now validated for interoperability with solutions from the Titanium Cloud ecosystem, Riverbed SteelHead delivers comprehensive visibility, optimization and control for any application across any network to ensure application performance no matter where users are located.

By validating and pre-integrating their hardware and software offerings with Wind River Titanium Server, Titanium Cloud ecosystem partners deliver optimized solutions to help accelerate time-to-market for service providers and telecom equipment manufacturers (TEMs) deploying infrastructure based on NFV. Service providers and TEMs can confidently select these hardware and software products knowing that they are pre-validated with Titanium Server and ready for deployment in live networks.

The Riverbed SteelHead integration with Wind River’s Titanium Server is designed to equip service providers with complete application visibility, optimization and control across software-defined wide area networks (WANs), resulting in superior application performance, reduced downtime, and an improved ability to meet and exceed service level agreements (SLAs) with their customers. Together, Riverbed and Wind River enable service providers to orchestrate SteelHead so that they can take advantage of SteelHead’s industry-leading WAN optimization capabilities including:

- Application and network control with quality of service (QoS), path selection and secure transport features

- Network visibility with end-user monitoring for all optimizing application traffic – including web-based, on-premises and SaaS applications

- Dynamic selection of the best application path (MPLS or internet) based on network availability and business intent

“With our rich history in superior application performance over any network – from the data center to the branch to the cloud - no matter where end users are located, Riverbed is helping distributed hybrid enterprises be more agile,” said Katie Colbert, VP, Global Technology Alliances, Riverbed Technology. “As a member of the Titanium Cloud ecosystem we are excited to join forces with Wind River to assist customers in reaching their NFV objectives, and move previously static network functions into the flexible virtualized world.”

“Service providers are looking for validated and market-ready end-to-end NFV solutions. To address this need, collaboration across the ecosystem is essential,” said Charlie Ashton, Senior Director of Business Development for Networking Solutions at Wind River. “Through our Titanium Cloud program, we are partnering with leaders like Riverbed to create optimized, interoperable solutions for service providers and TEMs who are deploying NFV in their networks. While Wind River’s Titanium Server provides a foundation for Carrier Grade NFV infrastructure, by leveraging other pre-validated NFV elements service providers can quickly achieve their goals such as reducing OPEX while accelerating the introduction of new high-value services."

Titanium Server is a carrier grade NFV infrastructure software solution that is designed to meet the stringent "always on" requirements of the telecom industry. With Titanium Server as the NFV infrastructure software foundation, the telecom industry can take full advantage of rapid service deployment while ensuring the Carrier Grade uptime and strict reliability mandated by telecom networks. Titanium Server is based on open software standards including carrier grade Wind River Linux, real-time Kernel-based Virtual Machine (KVM), carrier grade plugins for OpenStack, Data Plane Development Kit (DPDK), and accelerated virtual switching, all optimized for Intel architecture platforms.

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.