Teneo is partnering with Riverbed to launch a Visibility-as-a-Service (VaaS) capability that sets new levels in application, network and end user performance insights and problem-solving.
Utilizing key components of the Riverbed SteelCentral portfolio, the new offering complements Teneo’s existing global networking services that include a unique application-defined SD-WAN capability, supported by Riverbed SteelConnect, that is redefining cloud-based networking.
Teneo’s new VaaS helps global IT leaders to gain continuous visibility across their global application and network infrastructure, while providing actionable data to improve performance and ensure service levels are met. This new 24/7 service is available as a worldwide offering, delivering a single view of business-critical application health. It speeds up regional or local troubleshooting needs, and overcomes siloed or supplier performance reporting limitations, to any organization’s individual requirements.
The new service is a direct response to enterprise CIOs’ increasing focus on the customer experience – whether the customer is the end consumer, strategic partner, third party collaborator or a locally-based employee in a global workforce – accessing key applications or network assets.
Teneo VaaS lifts the growing monitoring burden from budget and resource-constrained IT teams. Instead of CIOs being forced to buy more monitoring tools from CAPEX or devote greater team resources to running monitoring tools as time goes on, using VaaS, enterprise IT teams get a single view of relevant performance factors while paying only for Teneo engineers’ time and infrastructure used.
Teneo’s VaaS capability is delivered flexibly at four different service levels, to match global enterprises’ IT skill sets and personnel resources, comprising:
- Level 1 – a technology readiness-focused option, where Teneo will manage the upkeep of the customer’s array of monitoring tools and the customer will generally ‘self-serve’ for their own monitoring purposes.
- Level 2 – a network performance-focused option, enabling deeper application usage and bandwidth consumption insights. This level delivers advanced behavioral analytics / trending / alert capabilities.
- Level 3 – an application performance monitoring, root cause analysis and troubleshooting offering, run in conjunction with in-house IT teams, drawing on rich forensic data. This service level enables IT teams to see emerging application performance trends and issues.
- Level 4 – a real-time, end user experience monitoring and rapid troubleshooting capability for web, cloud and hybrid environments. This bespoke service ensures faster ‘drill down’ responses and active improvements as well as deeper and very flexible collaborations with internal / third party IT teams to resolve issues and drive system enhancements.
Marc Sollars, CTO at Teneo, explains: “As they digitize operations or adopt wider cloud models, CIOs often struggle to maintain visibility of key application performance and enhance their customers’ experience. Senior IT executives are making vital networking decisions based on sprawling data, or cobbled-together performance dashboards, knowing they either lack the in-house skills or the team resources to get the best out of today’s cutting-edge monitoring tools. Our new Visibility-as-a-Service changes the game for IT executives, giving them a ‘right-sizing’ approach to getting full end-to-end performance visibility. With our bespoke service, CIOs can drive up their performance insight levels or speed up troubleshooting without committing to extra capital outlay or having to redeploy their already hard-pressed IT teams.”
“In order to achieve a new level of customer intimacy and employee productivity, enterprises are aggressively investing in the digital transformation of their business models. But the stakes have gone up, and it’s absolutely critical for them to deliver a flawless digital experience. Unfortunately, with the adoption of cloud and hybrid architectures, they are finding that their traditional tools are riddled with blind spots, and they can’t comprehensively manage the user’s end-to-end digital experience,” said Mike Sargent, SVP and GM of SteelCentral at Riverbed. “Riverbed and Teneo have partnered to ensure that our customers have the most complete, Visibility-as-a-Service solution in the market, which will help enterprises deliver a reliable and consistently high-quality end user experience. Our ability to provide end-to-end insight, down to the individual transaction level, is unparalleled in the marketplace, and uniquely well suited to delivering the kind of end user experience they need to achieve their strategic goals.”
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 ...