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Riverbed Showcases Digital Performance Solutions that Transform the Retail Customer Experience at NRF 2019

Riverbed will showcase a set of retail-focused digital performance solutions at NRF 2019, January 13 -15 in New York City, to enable retailers to further optimize their online and in-store channels, and to stay competitive by rapidly deploying digital services, boosting same-store profits, and improving the overall customer shopping experience while cutting back on operational costs.

Digital transformation continues to disrupt the retail industry as modern consumers agree that a positive online digital shopping experience, in addition to price, is essential to their loyalty in continuing shop at a specific retailer. Today’s consumer demands an always-on, high-performing experience, that is both seamless and accessible across all available shopping channels— from online to mobile to brick-and-mortar. Retailers around the globe have large growth opportunities in ecommerce environments, compelling them to invest in new digital capabilities. Riverbed will demonstrate digital performance solutions that enable rapid delivery of digital services and expansion of retail locations (including pop-up stores) and to optimize all IT channels with increased agility, performance, visibility and reliability to ensure POS connectivity, security and business continuity at stores. Riverbed will also showcase how retailers can manage and monitor the customer’s digital shopping experience and proactively identify and solve issues before they ever impact the customer.

Visit Riverbed at Booth #4359

During NRF 2019, Riverbed will provide presentations and live demonstrations of the following solutions to show how customers can:

- Improve the Customer Shopping Experience with Riverbed SteelCentral to gain visibility into both your customer and employee omni-channel digital experience, while proactively resolving issues to improve services, and to optimize app and digital services performance and improve in-store connectivity through the use of Riverbed SteelConnect SD-WAN and SteelHead SD solutions.

- Rapidly Deploy Digital Services with easy-to-use Riverbed SD-WAN, Riverbed Xirrus Wi-Fi and SteelHead, which enable both the speed and deployment of new services or pop-up stores with a unified network policy orchestration across your LAN, WAN, Wi-Fi and cloud to simplify management, while also providing secure connectivity.

- Boost Same-Store Profits with Cloud Edge, SteelHead, SD-WAN and Wi-Fi to reduce operational and capital costs to open and run each store, enable new services to provide similar in-store and online experiences, speedy and secure POS transactions, as well as to reduce downtime, data loss, and disaster recovery time.

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 ...

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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 ...

Riverbed Showcases Digital Performance Solutions that Transform the Retail Customer Experience at NRF 2019

Riverbed will showcase a set of retail-focused digital performance solutions at NRF 2019, January 13 -15 in New York City, to enable retailers to further optimize their online and in-store channels, and to stay competitive by rapidly deploying digital services, boosting same-store profits, and improving the overall customer shopping experience while cutting back on operational costs.

Digital transformation continues to disrupt the retail industry as modern consumers agree that a positive online digital shopping experience, in addition to price, is essential to their loyalty in continuing shop at a specific retailer. Today’s consumer demands an always-on, high-performing experience, that is both seamless and accessible across all available shopping channels— from online to mobile to brick-and-mortar. Retailers around the globe have large growth opportunities in ecommerce environments, compelling them to invest in new digital capabilities. Riverbed will demonstrate digital performance solutions that enable rapid delivery of digital services and expansion of retail locations (including pop-up stores) and to optimize all IT channels with increased agility, performance, visibility and reliability to ensure POS connectivity, security and business continuity at stores. Riverbed will also showcase how retailers can manage and monitor the customer’s digital shopping experience and proactively identify and solve issues before they ever impact the customer.

Visit Riverbed at Booth #4359

During NRF 2019, Riverbed will provide presentations and live demonstrations of the following solutions to show how customers can:

- Improve the Customer Shopping Experience with Riverbed SteelCentral to gain visibility into both your customer and employee omni-channel digital experience, while proactively resolving issues to improve services, and to optimize app and digital services performance and improve in-store connectivity through the use of Riverbed SteelConnect SD-WAN and SteelHead SD solutions.

- Rapidly Deploy Digital Services with easy-to-use Riverbed SD-WAN, Riverbed Xirrus Wi-Fi and SteelHead, which enable both the speed and deployment of new services or pop-up stores with a unified network policy orchestration across your LAN, WAN, Wi-Fi and cloud to simplify management, while also providing secure connectivity.

- Boost Same-Store Profits with Cloud Edge, SteelHead, SD-WAN and Wi-Fi to reduce operational and capital costs to open and run each store, enable new services to provide similar in-store and online experiences, speedy and secure POS transactions, as well as to reduce downtime, data loss, and disaster recovery time.

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 ...