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Riverbed Empowers Customers to Create Performance and IT Management Solutions

Riverbed Technology announced the availability of new product capabilities, developer tools and a supporting community that allow IT professionals to customize and adapt their IT infrastructure to meet the demands of their business and improve the experience of their users.

As developers and IT managers use this programmable infrastructure they create a performance platform that is highly flexible and inline with the needs of modern virtualized and software-defined IT architectures.

Riverbed's broad set of application performance solutions allows organizations to increase productivity and efficiency through performance acceleration and management. The new programmable infrastructure capabilities extend the rich reporting and management interfaces available in Riverbed solutions and allow IT operators to create custom rules and views attuned to their organization's needs. By doing so, organizations can solve challenges with better visibility and control through a custom IT portal, automated provisioning and management within a software-defined data center, and intelligent closed-loop performance remediation.

"We encounter customers all the time whose needs are specific to their business and their infrastructure," said Eric Wolford, president of Riverbed Products Group. "Today, we are giving customers the ability to uniquely accelerate their business in a way that has never before been possible."

Core to these capabilities are new developer tools, called FlyScript, that enable integration and automation within the Riverbed performance platform, as well as with third-party tools and customers' proprietary software.

In addition, Riverbed invites developers, programmers and operators to join Riverbed Splash, an online community where customers can learn more about using FlyScript to get better performance, control, and scale for their applications. Riverbed Splash also features best practices regarding configuring, deploying, and managing Riverbed products.

"In an effort to create a more dynamic and responsive IT environment, organizations are increasingly deploying new virtualization technologies and software-defined architectures. To extract the full value of these flexible environments, IT is also exploring how to customize and program these environments to best serve the unique needs of their business," said Bob Laliberte at Enterprise Strategy Group. "Riverbed's FlyScript developer tool kit enables IT to quickly create programmable infrastructures without requiring extensive training or experience, and accelerates the time to deploy a customized solution."

The introduction of FlyScript developer tools builds on the scripting and customization capabilities of Riverbed Stingray Traffic Manager, which allows organizations to build custom functionality or implement traffic management policies that are unique to an application.

Adding to these capabilities, FlyScript developer tools now offer that programmability within the broader development and operations lifecycle.

As part of FlyScript developer tools, Riverbed introduced REST APIs for the Riverbed performance platform solutions, including Cascade Shark, Cascade Profiler, and Stingray Traffic Manager. These REST APIs give developers a supported way to access raw data and manage the configuration of Riverbed solutions in an industry standard web service design model.

To simplify the coding process for casual coders and application programmers, Riverbed introduced the Python Software Development Kit (SDK), built on top of fully documented and supported REST APIs to develop custom modules and applications. With FlyScript developer tools, operators can simplify and accelerate the execution of repetitive tasks with scripts that can be copied, pasted, and modified as needed to automate a wide range of functions, including configuration, deployment and monitoring, and testing for performance challenges.

FlyScript also allows operators and third-party systems integrators to pull data from multiple sources, as well as push configuration settings to multiple targets. This level of automation eliminates the need for IT organizations to rely on a number of different technologies to deliver IT services to end users and support business-critical objectives.

As Riverbed customers and partners seek to take advantage of FlyScript and programmability, the Splash Community will serve as a resource environment to learn, collaborate and share. This community will enable customers to not only engage with their peers through forums and technical blogs, but also interact with the Riverbed developers and support team.

Riverbed will provide educational resources within Splash, including programming skills and best practices for all audiences, no matter their level of expertise. Developers looking to create scripts, modules, custom widgets and UI integrations that meet the specific requirements of their IT infrastructure can begin with the library found in Splash.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Riverbed Empowers Customers to Create Performance and IT Management Solutions

Riverbed Technology announced the availability of new product capabilities, developer tools and a supporting community that allow IT professionals to customize and adapt their IT infrastructure to meet the demands of their business and improve the experience of their users.

As developers and IT managers use this programmable infrastructure they create a performance platform that is highly flexible and inline with the needs of modern virtualized and software-defined IT architectures.

Riverbed's broad set of application performance solutions allows organizations to increase productivity and efficiency through performance acceleration and management. The new programmable infrastructure capabilities extend the rich reporting and management interfaces available in Riverbed solutions and allow IT operators to create custom rules and views attuned to their organization's needs. By doing so, organizations can solve challenges with better visibility and control through a custom IT portal, automated provisioning and management within a software-defined data center, and intelligent closed-loop performance remediation.

"We encounter customers all the time whose needs are specific to their business and their infrastructure," said Eric Wolford, president of Riverbed Products Group. "Today, we are giving customers the ability to uniquely accelerate their business in a way that has never before been possible."

Core to these capabilities are new developer tools, called FlyScript, that enable integration and automation within the Riverbed performance platform, as well as with third-party tools and customers' proprietary software.

In addition, Riverbed invites developers, programmers and operators to join Riverbed Splash, an online community where customers can learn more about using FlyScript to get better performance, control, and scale for their applications. Riverbed Splash also features best practices regarding configuring, deploying, and managing Riverbed products.

"In an effort to create a more dynamic and responsive IT environment, organizations are increasingly deploying new virtualization technologies and software-defined architectures. To extract the full value of these flexible environments, IT is also exploring how to customize and program these environments to best serve the unique needs of their business," said Bob Laliberte at Enterprise Strategy Group. "Riverbed's FlyScript developer tool kit enables IT to quickly create programmable infrastructures without requiring extensive training or experience, and accelerates the time to deploy a customized solution."

The introduction of FlyScript developer tools builds on the scripting and customization capabilities of Riverbed Stingray Traffic Manager, which allows organizations to build custom functionality or implement traffic management policies that are unique to an application.

Adding to these capabilities, FlyScript developer tools now offer that programmability within the broader development and operations lifecycle.

As part of FlyScript developer tools, Riverbed introduced REST APIs for the Riverbed performance platform solutions, including Cascade Shark, Cascade Profiler, and Stingray Traffic Manager. These REST APIs give developers a supported way to access raw data and manage the configuration of Riverbed solutions in an industry standard web service design model.

To simplify the coding process for casual coders and application programmers, Riverbed introduced the Python Software Development Kit (SDK), built on top of fully documented and supported REST APIs to develop custom modules and applications. With FlyScript developer tools, operators can simplify and accelerate the execution of repetitive tasks with scripts that can be copied, pasted, and modified as needed to automate a wide range of functions, including configuration, deployment and monitoring, and testing for performance challenges.

FlyScript also allows operators and third-party systems integrators to pull data from multiple sources, as well as push configuration settings to multiple targets. This level of automation eliminates the need for IT organizations to rely on a number of different technologies to deliver IT services to end users and support business-critical objectives.

As Riverbed customers and partners seek to take advantage of FlyScript and programmability, the Splash Community will serve as a resource environment to learn, collaborate and share. This community will enable customers to not only engage with their peers through forums and technical blogs, but also interact with the Riverbed developers and support team.

Riverbed will provide educational resources within Splash, including programming skills and best practices for all audiences, no matter their level of expertise. Developers looking to create scripts, modules, custom widgets and UI integrations that meet the specific requirements of their IT infrastructure can begin with the library found in Splash.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...