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Riverbed Releases New Observability Capabilities

Riverbed introduced the most advanced AI-powered observability platform to optimize digital experiences, and launched several new solutions and a unified agent built on this open architecture.

Riverbed’s new observability capabilities enable IT to overcome visibility blind spots around public cloud, Zero Trust and SD-WAN architectures, and remote work environments. Additionally, with Aternity Mobile, IT can now monitor enterprise-owned Apple iOS and Android mobile device performance to proactively identify digital experience issues and take targeted actions to improve the productivity of front-line employees.

The Company also released the next generation of Riverbed IQ 2.0, an AIOps service that reduces alert fatigue and enables IT to identify and solve issues faster by using AI-driven correlation and automation of Riverbed and third-party data.

Riverbed’s AI-powered platform collects data across the entire technology stack to ensure precise AI outcomes, ultimately reducing IT troubleshooting time and costs, and delivering better digital experiences for end-users.

“Customers are challenged with improving the digital experience, simplifying their management environment and implementing AI that works and scales,” said Dave Donatelli, Chief Executive Officer at Riverbed. “To address this, Riverbed has invested in our core competencies of data collection and AI, and today we’re launching the most advanced AI-powered observability platform to optimize digital experiences, along with solutions that provide new levels of visibility into network blind spots and enterprise-owned mobile devices. This is Riverbed’s largest product launch in years, and all of these solutions are available now. Great AI starts with great data, and our platform and visibility solutions provide IT with full-fidelity and real data that is the most comprehensive in the industry, along with an AIOps engine that uses AI automation to remediate issues faster, often without human intervention. At our core, Riverbed is focused on helping organizations improve their user’s digital experiences by using AI automation for the prevention, identification, and resolution of IT issues.”

The new Riverbed Platform is open, simple, and smart, enabling IT organizations to collect, analyze and automate, and report on data, in order to deliver optimized digital experiences. The Riverbed Platform collects full-fidelity data spanning networks, IT infrastructure, applications, user experience, endpoints, and cloud; and as an open platform, is launching with approximately 35 pre-built application and software integrations. The Riverbed Platform applies the data, including third parties, into an AIOps engine for analysis and correlation, where root cause identification is determined, and automated remediations are launched. Reporting occurs using Riverbed dashboards, or through integration with IT Services Management tools such as ServiceNow.

The Riverbed Platform includes a number of underlying technologies including:​

- The new Riverbed Unified Agent, which streamlines the deployment and management of visibility solutions with a single agent. The Unified Agent allows IT to add SaaS-delivered visibility modules – such as Aternity for end user experience monitoring and NPM+ for network and cloud monitoring – to collect more data without adding agents. The Riverbed Unified Agent comes with a powerful agent management tool.

- Riverbed Data Store, which consumes, analyzes, and reports on petabytes of data. The Data Store connects an organization’s data sources into an efficient data repository, giving enterprises just the right data at the right time. This patent-pending technology enables customers to benefit from Riverbed’s powerful data repository that makes AI actionable, without an enterprise needing to build their own, which is very difficult.

- Topology Viewer, for generating dynamic mapping of connected devices and showing dependencies within evolving and dynamic IT landscapes, putting data into context.

New Data Collection and Visibility Solutions include:

- Riverbed Aternity Mobile is a mobile monitoring tool that increases employee productivity by enabling IT teams to proactively identify digital experience performance issues on enterprise-provided mobile devices, and take targeted remediation actions. Aternity Mobile works on Apple iOS and Android across the most complete range of devices, and solves what was previously a major visibility gap on device performance and user experience.

- Riverbed NPM+ is the first in a series of SaaS-delivered NPM services, with data collection accomplished by using Riverbed Unified Agent at the endpoint. NPM+ overcomes traditional network blind spots created by remote work, public clouds, and encrypted architectures such as Zero Trust environments—extending packet visibility to network locations where monitoring was previously not possible. NPM+ is designed to collect decrypted data at every user and server endpoint (including Kubernetes), filling visibility gaps such as encrypted tunnels in Zero Trust architectures.

- Riverbed NetProfiler, which delivers real-time visibility into network traffic and application performance, now provides new capabilities to monitor SD-WAN health and performance, including for Cisco (Viptela) and VeloCloud SD-WAN.

First introduced in 2022, the second-generation Riverbed IQ 2.0 is a SaaS-based AIOps service that uses AI-driven automation to contextualize and correlate real data across the IT landscape to prevent, identify and resolve issues quickly. Riverbed IQ 2.0 replicates and automates the best practices of IT experts to gather additional context, filter out noise, and set priorities—reducing alerts to only the most impactful. Riverbed IQ 2.0 leverages AIOps techniques such as the Riverbed Data Store and Topology Viewer, and uses Riverbed Automation to automate processes so IT can solve problems faster, often without human intervention.

The new Riverbed IQ 2.0 release takes advantage of expanded data collection sources, as well as an expanding library of 170 pre-built triggered Aternity remediations, application integrations and tools to create customized remediations. Additionally, custom tags and on-demand Automation allows IT organizations to immediately launch a remediation or schedule them to run at a pre-planned time.

Riverbed IQ 2.0 follows the recent launch of Aternity’s Intelligent Service Desk, which increases service desk and call center efficiency and availability. This new Aternity feature leverages AI and triggers workflows to automate and resolve common issues. Additionally, Aternity Intelligent Service Desk enables IT to understand end-user satisfaction through the integration of sentiment analysis across remediation workflows, from issue detection to resolution. The result is improved customer and user satisfaction for call centers and service desks.

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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 ...

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If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...

Riverbed Releases New Observability Capabilities

Riverbed introduced the most advanced AI-powered observability platform to optimize digital experiences, and launched several new solutions and a unified agent built on this open architecture.

Riverbed’s new observability capabilities enable IT to overcome visibility blind spots around public cloud, Zero Trust and SD-WAN architectures, and remote work environments. Additionally, with Aternity Mobile, IT can now monitor enterprise-owned Apple iOS and Android mobile device performance to proactively identify digital experience issues and take targeted actions to improve the productivity of front-line employees.

The Company also released the next generation of Riverbed IQ 2.0, an AIOps service that reduces alert fatigue and enables IT to identify and solve issues faster by using AI-driven correlation and automation of Riverbed and third-party data.

Riverbed’s AI-powered platform collects data across the entire technology stack to ensure precise AI outcomes, ultimately reducing IT troubleshooting time and costs, and delivering better digital experiences for end-users.

“Customers are challenged with improving the digital experience, simplifying their management environment and implementing AI that works and scales,” said Dave Donatelli, Chief Executive Officer at Riverbed. “To address this, Riverbed has invested in our core competencies of data collection and AI, and today we’re launching the most advanced AI-powered observability platform to optimize digital experiences, along with solutions that provide new levels of visibility into network blind spots and enterprise-owned mobile devices. This is Riverbed’s largest product launch in years, and all of these solutions are available now. Great AI starts with great data, and our platform and visibility solutions provide IT with full-fidelity and real data that is the most comprehensive in the industry, along with an AIOps engine that uses AI automation to remediate issues faster, often without human intervention. At our core, Riverbed is focused on helping organizations improve their user’s digital experiences by using AI automation for the prevention, identification, and resolution of IT issues.”

The new Riverbed Platform is open, simple, and smart, enabling IT organizations to collect, analyze and automate, and report on data, in order to deliver optimized digital experiences. The Riverbed Platform collects full-fidelity data spanning networks, IT infrastructure, applications, user experience, endpoints, and cloud; and as an open platform, is launching with approximately 35 pre-built application and software integrations. The Riverbed Platform applies the data, including third parties, into an AIOps engine for analysis and correlation, where root cause identification is determined, and automated remediations are launched. Reporting occurs using Riverbed dashboards, or through integration with IT Services Management tools such as ServiceNow.

The Riverbed Platform includes a number of underlying technologies including:​

- The new Riverbed Unified Agent, which streamlines the deployment and management of visibility solutions with a single agent. The Unified Agent allows IT to add SaaS-delivered visibility modules – such as Aternity for end user experience monitoring and NPM+ for network and cloud monitoring – to collect more data without adding agents. The Riverbed Unified Agent comes with a powerful agent management tool.

- Riverbed Data Store, which consumes, analyzes, and reports on petabytes of data. The Data Store connects an organization’s data sources into an efficient data repository, giving enterprises just the right data at the right time. This patent-pending technology enables customers to benefit from Riverbed’s powerful data repository that makes AI actionable, without an enterprise needing to build their own, which is very difficult.

- Topology Viewer, for generating dynamic mapping of connected devices and showing dependencies within evolving and dynamic IT landscapes, putting data into context.

New Data Collection and Visibility Solutions include:

- Riverbed Aternity Mobile is a mobile monitoring tool that increases employee productivity by enabling IT teams to proactively identify digital experience performance issues on enterprise-provided mobile devices, and take targeted remediation actions. Aternity Mobile works on Apple iOS and Android across the most complete range of devices, and solves what was previously a major visibility gap on device performance and user experience.

- Riverbed NPM+ is the first in a series of SaaS-delivered NPM services, with data collection accomplished by using Riverbed Unified Agent at the endpoint. NPM+ overcomes traditional network blind spots created by remote work, public clouds, and encrypted architectures such as Zero Trust environments—extending packet visibility to network locations where monitoring was previously not possible. NPM+ is designed to collect decrypted data at every user and server endpoint (including Kubernetes), filling visibility gaps such as encrypted tunnels in Zero Trust architectures.

- Riverbed NetProfiler, which delivers real-time visibility into network traffic and application performance, now provides new capabilities to monitor SD-WAN health and performance, including for Cisco (Viptela) and VeloCloud SD-WAN.

First introduced in 2022, the second-generation Riverbed IQ 2.0 is a SaaS-based AIOps service that uses AI-driven automation to contextualize and correlate real data across the IT landscape to prevent, identify and resolve issues quickly. Riverbed IQ 2.0 replicates and automates the best practices of IT experts to gather additional context, filter out noise, and set priorities—reducing alerts to only the most impactful. Riverbed IQ 2.0 leverages AIOps techniques such as the Riverbed Data Store and Topology Viewer, and uses Riverbed Automation to automate processes so IT can solve problems faster, often without human intervention.

The new Riverbed IQ 2.0 release takes advantage of expanded data collection sources, as well as an expanding library of 170 pre-built triggered Aternity remediations, application integrations and tools to create customized remediations. Additionally, custom tags and on-demand Automation allows IT organizations to immediately launch a remediation or schedule them to run at a pre-planned time.

Riverbed IQ 2.0 follows the recent launch of Aternity’s Intelligent Service Desk, which increases service desk and call center efficiency and availability. This new Aternity feature leverages AI and triggers workflows to automate and resolve common issues. Additionally, Aternity Intelligent Service Desk enables IT to understand end-user satisfaction through the integration of sentiment analysis across remediation workflows, from issue detection to resolution. The result is improved customer and user satisfaction for call centers and service desks.

The Latest

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 ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...