Skip to main content

Riverbed Application Acceleration Solutions Adds Cloud-Based Offerings

Riverbed is adding new cloud-based offerings into its arsenal of Riverbed Application Acceleration Solutions, all specifically built to help significantly accelerate and provide a consistent user experience for leading Microsoft collaboration, productivity and video streaming applications.

As companies continue to provide broader flexibility for employees to work from anywhere, organizations can run Riverbed’s flexible SaaS offerings to optimize performance and productivity for leading SaaS apps across multiple office locations and for remote users regardless of location, bandwidth or latency.

“With the overwhelming industry shift to SaaS applications and expected growth in hybrid work environments long-term even after COVID-19, there is a surge in enterprises using collaboration suites such as Microsoft O365 and leveraging video communications with Microsoft Teams and Stream for global employee engagement and collaboration. While these tools help companies to quickly scale and connect workforces that may be working from anywhere, in or outside the office, the value enterprises are able to achieve from these SaaS investments can be limited by the networks that connect us,” said Dante Malagrino, Chief Development Officer at Riverbed. “Riverbed’s Application Acceleration Solutions are flexible to suit the varying needs of today’s enterprises, and can be deployed immediately to augment the most popular Microsoft application suites and relieve the IT pain and productivity slowdowns caused by network latency, data congestion and overall connectivity.”

The release of SaaS Accelerator (available in Q3 2020) will provide new support for Microsoft Teams and Microsoft Stream live events and on-demand video, delivering increased performance for the best experience for users in any office, accessing video from any device. Microsoft has seen an explosive growth in collaboration and video applications, with Teams reporting more than 200 million meeting participants in a single day and over 75 million daily active users, with two-thirds of users having shared, collaborated, or interacted with files on Teams (April 2020 Microsoft earnings call). SaaS Accelerator eliminates the networking headaches inherent with corporate video communications with an enterprise-class SD-eCDN that can be deployed in minutes, reducing up to 99 percent of video data from corporate networks, enhancing the overall user experience. The SaaS Accelerator Manager (SAM) delivers comprehensive analytics for network teams and event owners, including bandwidth savings, quality of experience, reach, viewing duration and more.

Riverbed SaaS Accelerator, a fully cloud-based service, enables enterprises to ensure fast, consistent performance and user experience as demand for always-available enterprise SaaS applications continues to grow, and now scales to meet the needs of the largest enterprises in the world to support 50,000 concurrent users per accelerated app. In addition to adding new support for Microsoft Teams and Stream, SaaS Accelerator now also supports Microsoft Dynamics CRM. Additionally, Riverbed SaaS Accelerator continues to accelerate and boost the performance by up to 10x of other top enterprise collaboration applications: including Microsoft O365 apps–SharePoint, Exchange, Office WebApps; Salesforce; ServiceNow; Box and Veeva; and also integrates with any Riverbed client or branch endpoint for mobile and branch employees. Lab and real-world testing have also continuously shown up to a 99 percent data reduction for global file sharing with Microsoft applications such as SharePoint and OneDrive to maximize network efficiency.

The new Riverbed Accelerator for O365 is an end-to-end cloud service that maximizes Microsoft O365 performance for dynamic, global workforces and can be deployed in an instant without any hardware or endpoints. For enterprise application and end user services teams supporting strong usage of Microsoft O365 for file sharing across mobile workforces, this frictionless SaaS offering integrates acceleration for SharePoint, OneDrive and Office WebApps with a mobile client and can be deployed instantly anywhere in the world, making it simple and scalable solution.

Riverbed application and acceleration solutions are part of the company’s Network and Application Performance Platform, which enables organizations to maximize performance and visibility for networks and applications. These solutions include the new frictionless service, Riverbed Accelerator for O365, the flexible Accelerator service, as well as Client Accelerator and Cloud Accelerator offerings. SaaS Accelerator is a purpose-built, cloud-based solution, designed to ensure consistent performance of leading enterprise SaaS applications, such as Microsoft O365, Salesforce, ServiceNow, Box, now adding support for Microsoft Teams and Stream Live Events and On-Demand Video with a built-in eCDN, Dynamics CRM and more, delivering an average 10x increase in performance. Riverbed Client Accelerator (formerly called SteelHead Mobile) delivers leading-edge application acceleration to mobile workers anywhere, eliminating the unpredictability of dynamic network conditions that impede performance.

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 ...

Riverbed Application Acceleration Solutions Adds Cloud-Based Offerings

Riverbed is adding new cloud-based offerings into its arsenal of Riverbed Application Acceleration Solutions, all specifically built to help significantly accelerate and provide a consistent user experience for leading Microsoft collaboration, productivity and video streaming applications.

As companies continue to provide broader flexibility for employees to work from anywhere, organizations can run Riverbed’s flexible SaaS offerings to optimize performance and productivity for leading SaaS apps across multiple office locations and for remote users regardless of location, bandwidth or latency.

“With the overwhelming industry shift to SaaS applications and expected growth in hybrid work environments long-term even after COVID-19, there is a surge in enterprises using collaboration suites such as Microsoft O365 and leveraging video communications with Microsoft Teams and Stream for global employee engagement and collaboration. While these tools help companies to quickly scale and connect workforces that may be working from anywhere, in or outside the office, the value enterprises are able to achieve from these SaaS investments can be limited by the networks that connect us,” said Dante Malagrino, Chief Development Officer at Riverbed. “Riverbed’s Application Acceleration Solutions are flexible to suit the varying needs of today’s enterprises, and can be deployed immediately to augment the most popular Microsoft application suites and relieve the IT pain and productivity slowdowns caused by network latency, data congestion and overall connectivity.”

The release of SaaS Accelerator (available in Q3 2020) will provide new support for Microsoft Teams and Microsoft Stream live events and on-demand video, delivering increased performance for the best experience for users in any office, accessing video from any device. Microsoft has seen an explosive growth in collaboration and video applications, with Teams reporting more than 200 million meeting participants in a single day and over 75 million daily active users, with two-thirds of users having shared, collaborated, or interacted with files on Teams (April 2020 Microsoft earnings call). SaaS Accelerator eliminates the networking headaches inherent with corporate video communications with an enterprise-class SD-eCDN that can be deployed in minutes, reducing up to 99 percent of video data from corporate networks, enhancing the overall user experience. The SaaS Accelerator Manager (SAM) delivers comprehensive analytics for network teams and event owners, including bandwidth savings, quality of experience, reach, viewing duration and more.

Riverbed SaaS Accelerator, a fully cloud-based service, enables enterprises to ensure fast, consistent performance and user experience as demand for always-available enterprise SaaS applications continues to grow, and now scales to meet the needs of the largest enterprises in the world to support 50,000 concurrent users per accelerated app. In addition to adding new support for Microsoft Teams and Stream, SaaS Accelerator now also supports Microsoft Dynamics CRM. Additionally, Riverbed SaaS Accelerator continues to accelerate and boost the performance by up to 10x of other top enterprise collaboration applications: including Microsoft O365 apps–SharePoint, Exchange, Office WebApps; Salesforce; ServiceNow; Box and Veeva; and also integrates with any Riverbed client or branch endpoint for mobile and branch employees. Lab and real-world testing have also continuously shown up to a 99 percent data reduction for global file sharing with Microsoft applications such as SharePoint and OneDrive to maximize network efficiency.

The new Riverbed Accelerator for O365 is an end-to-end cloud service that maximizes Microsoft O365 performance for dynamic, global workforces and can be deployed in an instant without any hardware or endpoints. For enterprise application and end user services teams supporting strong usage of Microsoft O365 for file sharing across mobile workforces, this frictionless SaaS offering integrates acceleration for SharePoint, OneDrive and Office WebApps with a mobile client and can be deployed instantly anywhere in the world, making it simple and scalable solution.

Riverbed application and acceleration solutions are part of the company’s Network and Application Performance Platform, which enables organizations to maximize performance and visibility for networks and applications. These solutions include the new frictionless service, Riverbed Accelerator for O365, the flexible Accelerator service, as well as Client Accelerator and Cloud Accelerator offerings. SaaS Accelerator is a purpose-built, cloud-based solution, designed to ensure consistent performance of leading enterprise SaaS applications, such as Microsoft O365, Salesforce, ServiceNow, Box, now adding support for Microsoft Teams and Stream Live Events and On-Demand Video with a built-in eCDN, Dynamics CRM and more, delivering an average 10x increase in performance. Riverbed Client Accelerator (formerly called SteelHead Mobile) delivers leading-edge application acceleration to mobile workers anywhere, eliminating the unpredictability of dynamic network conditions that impede performance.

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 ...