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Riverbed SteelCentral Amps Up Visibility in the Cloud

Riverbed Technology announced new enhancements to Riverbed SteelCentral that bring major advances to troubleshooting capabilities and improved monitoring across the cloud while simultaneously improving ease of use and scalability.

These enhancements continue to support a common theme of improved SteelCentral platform integration while enhancing several critical capabilities, including:

- extending powerful monitoring capabilities into the cloud with Microsoft Azure and AWS

- platform-as-a-Service (PaaS) and containerized environments

- large-scale virtualized network performance monitoring

- expanded unified communications (UC) monitoring with new support for Skype for Business

- next generation diagnostics and troubleshooting

"This release of SteelCentral delivers significant enhancements in cloud-based performance monitoring, along with new capabilities that will help accelerate business execution and boost productivity," said Mike Sargent, SVP, General Manager of SteelCentral at Riverbed. "As more enterprises embrace digital and cloud services, SteelCentral provides the high definition visibility that is critical to enabling and assuring the success of these transformational initiatives. SteelCentral is the only performance management solution that can deliver comprehensive insight into end user experience, application, network, and infrastructure performance in a unified, central view. It truly is the command center for application performance for the digital enterprise."

Extended Visibility into the Cloud, PaaS and Containers

In its quest to increase agility, IT is adopting cloud services and related technologies like PaaS, containers and micro-services to deliver applications faster and to ensure that they can scale as usage increases. With this release, IT can automatically scale monitoring across applications that leverage these technologies. IT Operations and development teams can visualize applications’ behavior in real-time to troubleshoot existing issues or to proactively improve performance. Additionally, this release of SteelCentral AppInternals introduces out-of-the-box monitoring for applications deployed on Microsoft Azure Cloud Services, and will also be conveniently offered on the Amazon Web Services (AWS) Marketplace for AWS customers.

Further, SteelCentral vastly improves the ability to monitor applications deployed on PaaS and containerized environments. As these environments dynamically scale during peak and off-peak periods, conventional performance monitoring tools that trace interactions between servers cannot coherently represent application behavior. This release introduces the Application Performance Graph that visually maps interactions between application modules in real-time, regardless of the underlying infrastructure. This reveals dependencies and hotspots obscured by the elasticity of the environment so that IT can observe and fix issues with the most overarching business impact.

The new Application Performance graph is beneficial for complex, multi-tier applications, especially those that rely on elastic environments. Take for example, an eCommerce site that needs to perform on Black Friday. The underlying infrastructure will need to scale up to support the high traffic during the peak shopping time. In these cases, the application topology is often transient, nebulous, and unpredictably interrelated with countless other applications and services. To truly understand application behavior, we need to observe interactions between application modules, regardless of the underlying infrastructure, to identify hotspots and to prioritize performance improvement efforts that will have the maximum business impact. Current APM approaches simply overlay application performance views over server topology. In contrast, SteelCentral tracks and graphs interactions between application modules in real-time.

“Today’s applications are multi-tiered and massively distributed across diverse networks and environments within the data center and the cloud. While 60% of companies have organized IT around specialized teams that focus on elements of application infrastructure, they consistently rely on cross-functional collaboration to ensure smooth operation. To effectively collaborate, these diverse IT teams require a common platform of insights and diagnostics that they can collectively analyze to bridge the gap between their respective areas,” said Julie Craig, Research Director, Application Management, at Enterprise Management Associates. “Riverbed SteelCentral helps bridge these silos by delivering comprehensive insights on user experience, application, network and infrastructure performance within a unified view.”

Large-Scale Virtualized Network Performance Monitoring

IT organizations have increasingly adopted server virtualization as a result of its widely recognized benefits of cost savings and ease of provisioning and deployment; however, as the datacenter becomes increasingly virtualized, it often results in visibility blind spots. With this release, Riverbed vastly improves the ability for companies to monitor virtualized server traffic. By redesigning how packet capture data is incorporated, SteelCentral has significantly enhanced productivity associated with monitoring and troubleshooting high-performance virtualized networks.

Expanded Unified Communications Monitoring

As companies increasingly use unified communications (UC) applications, identifying the root causes of network degradations, device errors, or user mistakes across these solutions is time-consuming and repetitive for IT staff. SteelCentral monitors performance across multiple UC solutions – including for the first time Microsoft Skype for Business in conjunction with Cisco and Avaya UC traffic – with a multi-vendor, multi-tenant dashboard that provides an at-a- glance view of overall UC performance. Network engineers can view information about usage and adoption as well as call performance, and troubleshoot performance problems using common language and workflows for the most often-encountered UC issues. There is immediate productivity with zero need to train on different tools or vendor terminology. In addition, global UC performance analysis is now blended with performance analysis from networks, other applications and infrastructure in the SteelCentral Portal, providing IT teams with unified and holistic view of performance.

Next-Generation Diagnostics and Troubleshooting

As application performance takes an increasingly central role to the business, proactive monitoring and troubleshooting the application infrastructure is a critical element in managing the business – whether that application is deployed in the cloud or on-premises. With this release Riverbed has drastically improved the ability for IT managers to troubleshoot network and application issues.

SteelCentral has modernized the interface of SteelCentral NetProfiler to improve usability and performance. The Preferred Interfaces screen and Network Hotspots dashboard shows top utilized interfaces as well as interfaces with the worst user response times. As a result, network managers are able to quickly recognize areas that require additional attention to improve network performance overall and proactively make adjustments.

Riverbed SteelCentral features advancements in several key platform components, including SteelCentral AppInternals, SteelCentral NetProfiler, SteelCentral Portal, and SteelCentral UCExpert.

All updates to the Riverbed SteelCentral platform are intended to be made available by the end of Q2 2016.

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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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Riverbed SteelCentral Amps Up Visibility in the Cloud

Riverbed Technology announced new enhancements to Riverbed SteelCentral that bring major advances to troubleshooting capabilities and improved monitoring across the cloud while simultaneously improving ease of use and scalability.

These enhancements continue to support a common theme of improved SteelCentral platform integration while enhancing several critical capabilities, including:

- extending powerful monitoring capabilities into the cloud with Microsoft Azure and AWS

- platform-as-a-Service (PaaS) and containerized environments

- large-scale virtualized network performance monitoring

- expanded unified communications (UC) monitoring with new support for Skype for Business

- next generation diagnostics and troubleshooting

"This release of SteelCentral delivers significant enhancements in cloud-based performance monitoring, along with new capabilities that will help accelerate business execution and boost productivity," said Mike Sargent, SVP, General Manager of SteelCentral at Riverbed. "As more enterprises embrace digital and cloud services, SteelCentral provides the high definition visibility that is critical to enabling and assuring the success of these transformational initiatives. SteelCentral is the only performance management solution that can deliver comprehensive insight into end user experience, application, network, and infrastructure performance in a unified, central view. It truly is the command center for application performance for the digital enterprise."

Extended Visibility into the Cloud, PaaS and Containers

In its quest to increase agility, IT is adopting cloud services and related technologies like PaaS, containers and micro-services to deliver applications faster and to ensure that they can scale as usage increases. With this release, IT can automatically scale monitoring across applications that leverage these technologies. IT Operations and development teams can visualize applications’ behavior in real-time to troubleshoot existing issues or to proactively improve performance. Additionally, this release of SteelCentral AppInternals introduces out-of-the-box monitoring for applications deployed on Microsoft Azure Cloud Services, and will also be conveniently offered on the Amazon Web Services (AWS) Marketplace for AWS customers.

Further, SteelCentral vastly improves the ability to monitor applications deployed on PaaS and containerized environments. As these environments dynamically scale during peak and off-peak periods, conventional performance monitoring tools that trace interactions between servers cannot coherently represent application behavior. This release introduces the Application Performance Graph that visually maps interactions between application modules in real-time, regardless of the underlying infrastructure. This reveals dependencies and hotspots obscured by the elasticity of the environment so that IT can observe and fix issues with the most overarching business impact.

The new Application Performance graph is beneficial for complex, multi-tier applications, especially those that rely on elastic environments. Take for example, an eCommerce site that needs to perform on Black Friday. The underlying infrastructure will need to scale up to support the high traffic during the peak shopping time. In these cases, the application topology is often transient, nebulous, and unpredictably interrelated with countless other applications and services. To truly understand application behavior, we need to observe interactions between application modules, regardless of the underlying infrastructure, to identify hotspots and to prioritize performance improvement efforts that will have the maximum business impact. Current APM approaches simply overlay application performance views over server topology. In contrast, SteelCentral tracks and graphs interactions between application modules in real-time.

“Today’s applications are multi-tiered and massively distributed across diverse networks and environments within the data center and the cloud. While 60% of companies have organized IT around specialized teams that focus on elements of application infrastructure, they consistently rely on cross-functional collaboration to ensure smooth operation. To effectively collaborate, these diverse IT teams require a common platform of insights and diagnostics that they can collectively analyze to bridge the gap between their respective areas,” said Julie Craig, Research Director, Application Management, at Enterprise Management Associates. “Riverbed SteelCentral helps bridge these silos by delivering comprehensive insights on user experience, application, network and infrastructure performance within a unified view.”

Large-Scale Virtualized Network Performance Monitoring

IT organizations have increasingly adopted server virtualization as a result of its widely recognized benefits of cost savings and ease of provisioning and deployment; however, as the datacenter becomes increasingly virtualized, it often results in visibility blind spots. With this release, Riverbed vastly improves the ability for companies to monitor virtualized server traffic. By redesigning how packet capture data is incorporated, SteelCentral has significantly enhanced productivity associated with monitoring and troubleshooting high-performance virtualized networks.

Expanded Unified Communications Monitoring

As companies increasingly use unified communications (UC) applications, identifying the root causes of network degradations, device errors, or user mistakes across these solutions is time-consuming and repetitive for IT staff. SteelCentral monitors performance across multiple UC solutions – including for the first time Microsoft Skype for Business in conjunction with Cisco and Avaya UC traffic – with a multi-vendor, multi-tenant dashboard that provides an at-a- glance view of overall UC performance. Network engineers can view information about usage and adoption as well as call performance, and troubleshoot performance problems using common language and workflows for the most often-encountered UC issues. There is immediate productivity with zero need to train on different tools or vendor terminology. In addition, global UC performance analysis is now blended with performance analysis from networks, other applications and infrastructure in the SteelCentral Portal, providing IT teams with unified and holistic view of performance.

Next-Generation Diagnostics and Troubleshooting

As application performance takes an increasingly central role to the business, proactive monitoring and troubleshooting the application infrastructure is a critical element in managing the business – whether that application is deployed in the cloud or on-premises. With this release Riverbed has drastically improved the ability for IT managers to troubleshoot network and application issues.

SteelCentral has modernized the interface of SteelCentral NetProfiler to improve usability and performance. The Preferred Interfaces screen and Network Hotspots dashboard shows top utilized interfaces as well as interfaces with the worst user response times. As a result, network managers are able to quickly recognize areas that require additional attention to improve network performance overall and proactively make adjustments.

Riverbed SteelCentral features advancements in several key platform components, including SteelCentral AppInternals, SteelCentral NetProfiler, SteelCentral Portal, and SteelCentral UCExpert.

All updates to the Riverbed SteelCentral platform are intended to be made available by the end of Q2 2016.

The Latest

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 ...

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.