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Riverbed Announces New Release of SteelCentral

Riverbed Technology announced the latest release of SteelCentral.

Riverbed SteelCentral now empowers customers to measure and troubleshoot all parts of the digital experience, from the user’s experience on the device to the back-end network, infrastructure, cloud and application.

The latest release of SteelCentral:

- Delivers enriched end user performance monitoring and provides integrated visibility into Digital Experience

- Reduces the risk during application migrations, both on and off the Cloud

- Enables businesses to manage outcomes across the application lifecycle

- Delivers integrated network and infrastructure troubleshooting and monitoring

“Our customers are making big ticket, highly strategic investments in digital business transformation initiatives to drive customer intimacy and employee/partner productivity. Delivering a flawless digital experience couldn’t be more critical to their success. But with the adoption of cloud and mobile technologies, they are finding that traditional tools are unable to holistically measure and manage a user’s digital experience,” said Mike Sargent, Senior Vice President and General Manager of SteelCentral at Riverbed. “SteelCentral now delivers the most complete, modular and integrated Digital Experience Management solution in the market, helping enterprises deliver a reliable and consistently high quality end user experience. With the breadth and depth of insight we now provide - down to the individual transaction level – we are taking visibility to a whole new level to help our customers achieve their strategic goals.”

This new release features the integration between SteelCentral Portal, SteelCentral Aternity, and SteelCentral AppInternals. This means that SteelCentral users can now incorporate the device-based view of end user experience providing IT and business executives with a single-pane-of-glass view of IT performance and its impact on end users.

In addition, the integrated workflow between SteelCentral Aternity and AppInternals provides an integrated monitoring system for the entire end user service and allows IT to rapidly troubleshoot business-critical applications across devices and applications. This results in a one-stop-shop for the variety of teams involved in Digital Experience Management, from end user services, to app developers and operations, to IT and business executives.

With this release, SteelCentral introduces application migration planning and prediction. This enables network planning and architecture teams to simulate and predict traffic behavior and impact on the network prior to application migrations – from data center to data center, from data center to cloud, and between cloud providers. As a result, companies are able to leverage data, not hunches, when planning cloud migrations for applications.

SteelCentral AppInternals now enables IT teams to consume performance insights and diagnostics across the application lifecycle. Leveraging new REST API’s, development and QA teams can add performance testing to their build tool chain and ensure that releases are optimized for production; operations teams can consume alerts on popular collaboration tools like Slack and HipChat; and support teams can automatically open tickets on incident management tools to log issues, their root causes and diagnoses. In addition, teams can use the API to extract metrics and enrich existing reports and tools.

Riverbed is also introducing a new integration between NetProfiler and NetIM that helps network managers understand the impact of network infrastructure on network performance. This integration is another example of how SteelCentral is enabling cross domain collaboration, breaking down the communication barriers created by the deployment of disjointed point monitoring solutions.

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Riverbed Announces New Release of SteelCentral

Riverbed Technology announced the latest release of SteelCentral.

Riverbed SteelCentral now empowers customers to measure and troubleshoot all parts of the digital experience, from the user’s experience on the device to the back-end network, infrastructure, cloud and application.

The latest release of SteelCentral:

- Delivers enriched end user performance monitoring and provides integrated visibility into Digital Experience

- Reduces the risk during application migrations, both on and off the Cloud

- Enables businesses to manage outcomes across the application lifecycle

- Delivers integrated network and infrastructure troubleshooting and monitoring

“Our customers are making big ticket, highly strategic investments in digital business transformation initiatives to drive customer intimacy and employee/partner productivity. Delivering a flawless digital experience couldn’t be more critical to their success. But with the adoption of cloud and mobile technologies, they are finding that traditional tools are unable to holistically measure and manage a user’s digital experience,” said Mike Sargent, Senior Vice President and General Manager of SteelCentral at Riverbed. “SteelCentral now delivers the most complete, modular and integrated Digital Experience Management solution in the market, helping enterprises deliver a reliable and consistently high quality end user experience. With the breadth and depth of insight we now provide - down to the individual transaction level – we are taking visibility to a whole new level to help our customers achieve their strategic goals.”

This new release features the integration between SteelCentral Portal, SteelCentral Aternity, and SteelCentral AppInternals. This means that SteelCentral users can now incorporate the device-based view of end user experience providing IT and business executives with a single-pane-of-glass view of IT performance and its impact on end users.

In addition, the integrated workflow between SteelCentral Aternity and AppInternals provides an integrated monitoring system for the entire end user service and allows IT to rapidly troubleshoot business-critical applications across devices and applications. This results in a one-stop-shop for the variety of teams involved in Digital Experience Management, from end user services, to app developers and operations, to IT and business executives.

With this release, SteelCentral introduces application migration planning and prediction. This enables network planning and architecture teams to simulate and predict traffic behavior and impact on the network prior to application migrations – from data center to data center, from data center to cloud, and between cloud providers. As a result, companies are able to leverage data, not hunches, when planning cloud migrations for applications.

SteelCentral AppInternals now enables IT teams to consume performance insights and diagnostics across the application lifecycle. Leveraging new REST API’s, development and QA teams can add performance testing to their build tool chain and ensure that releases are optimized for production; operations teams can consume alerts on popular collaboration tools like Slack and HipChat; and support teams can automatically open tickets on incident management tools to log issues, their root causes and diagnoses. In addition, teams can use the API to extract metrics and enrich existing reports and tools.

Riverbed is also introducing a new integration between NetProfiler and NetIM that helps network managers understand the impact of network infrastructure on network performance. This integration is another example of how SteelCentral is enabling cross domain collaboration, breaking down the communication barriers created by the deployment of disjointed point monitoring solutions.

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...