Telefónica Business Solutions and Riverbed Technology today announced a new partnership that enhances Telefonica´s networking and cloud service offering by bringing Riverbed SteelHead WAN optimization and Riverbed SteelCentral network visibility as managed services to Telefonica’s customers.
Telefonica’s managed services solution will augment its core MPLS and Hybrid network offerings to provide enterprise customers with an enhanced user experience while delivering Quality of Service (QoS) to key business applications that affect revenue and productivity. This launch is a key part of Telefonica’s worldwide as-a-service strategy.
“As a key partner, we are working closely with Riverbed to integrate their leading WAN optimization and network performance monitoring technologies into our managed services portfolio. The goal is to deliver quality IT services faster, bring value and align strategically with our enterprise customers. Our partnership with Riverbed provides more innovative choices in proven technologies to differentiate our services in the market and further our customers’ digital transformation initiatives,” explains Hugo de los Santos, Director B2B Products & Services of Telefónica Business Solutions.
Riverbed’s SteelHead WAN (Wide Area Network) optimization solution provides industry leading secure optimization of all applications across hybrid networks to Telefonica enterprise customers, so they can leverage global resources and access applications and data from anywhere. Gartner has positioned Riverbed as a Leader in its Magic Quadrant for WAN Optimization for the last nine years. Riverbed’s SteelCentral network performance monitoring solutions help to quickly detect and resolve network performance issues and improve service levels. For the fourth consecutive year, Riverbed SteelCentral is recognized as a four-time Leader in the Gartner Magic Quadrant for Network Performance Monitoring and Diagnostics.
“As the market shifts to digital business, companies are under increased pressure to provide customers with high-quality IT services and deliver these services faster. With the integration of our technology into Telefonica’s managed services portfolio, Telefonica and Riverbed can rapidly introduce new services to the market in response to customers’ changing needs as they move more apps and services to the cloud. We are also pleased that Telefonica has received Global Premier Status as part of the Riverbed Performance Partner Program, and we look forward to working closely to build greater market acceleration and mutual success,” said John Robertson, VP, for Global Service Providers at Riverbed.
As a Global Premier status partner in the Riverbed Performance Partner Program, Telefonica gains access to extensive resources to support its managed services. Riverbed provides performance based financial incentives to accelerate margin-rich service creation opportunities. Both companies have committed resources to drive awareness, sales enablement and demand generation through strong sales collaboration. Through committed field engagement and Riverbed’s industry leading portfolio of offerings, both companies will experience mutual growth acceleration as they jointly enable customers to successfully transition to the cloud.
Riverbed Delivers Solutions for Cloud and Digital World
Riverbed is delivering solutions to help companies transition from legacy hardware to a new software-defined and cloud-centric approach to networking, and improve end user experience, allowing enterprises’ digital transformation initiatives to reach their full potential. Riverbed’s integrated platform delivers the agility, visibility, and performance businesses need to be successful in a cloud and digital world. By leveraging Riverbed’s platform, organizations can deliver apps, data, and services from any public, private, or hybrid cloud across any network to any end-point.
Riverbed SteelHead is an optimization solution for accelerated delivery and peak performance of applications across the software-defined WAN. Riverbed SteelCentral product family is a performance management and control suite that combines user experience, application, and network performance management to provide the visibility needed to diagnose and cure issues before end users notice a problem, call the help desk, or jump to another web site out of frustration.
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 ...