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Riverbed Launches Alluvio IQ Unified Observability Service

Riverbed announced Alluvio IQ, a new cloud-native, SaaS-delivered Unified Observability service that empowers IT with actionable insights and intelligent automation to fix problems faster and improve digital service quality.

Alluvio IQ leverages full-fidelity network performance and end-user experience data across every transaction in the digital enterprise and applies AI and machine learning to contextually correlate data streams and alerts to identify the most business-impacting events.

The new service enables IT organizations to “shift left,” empowering all staff to do the job of more experienced IT experts, freeing-up senior IT staff to focus on strategic business initiatives.

This general release of Alluvio IQ follows a successful Beta release that began in late May and delivers on Riverbed’s April 27 strategy announcement to bring industry-leading unified observability to customers worldwide. In April, Riverbed introduced Alluvio by Riverbed, the company’s Unified Observability software portfolio, which unifies data, insights, and actions across the digital ecosystem so organizations can deliver seamless, secure digital experiences and drive enterprise performance.

Dan Smoot, CEO of Riverbed, said: “Observability today has evolved in the market to deal beyond the challenges of application monitoring, testing, and management. As IT teams continue to face issues managing complex, highly distributed environments, Riverbed saw the need for a broader definition and approach to solve an expanded set of challenges. We believe a unified approach to observability is key to allowing organizations to take back the reigns of IT by transforming massive amounts of data into actionable insights that drive enterprise performance and deliver exceptional digital experiences.”

Alluvio IQ was designed to help IT teams address the challenges caused by today’s complex IT environments, resource constraints, and data silos. Alluvio IQ leverages full-stack, full-fidelity telemetry about the end user, the network, and application to analyze 10+ million data points per minute for complete visibility, even into remote and hybrid work environments. Unlike other products that correlate events primarily based on time, Alluvio automates the process of gathering and correlating 10,000+ metrics per minute across time, device, location, and applications. Alluvio IQ also provides automated investigative workflows designed to replicate the best practices of expert IT teams— enabling enterprises to filter out noise, reduce escalations, set priorities, and scale knowledge residing in the minds of a few across the broader IT team.

Alluvio IQ enables IT organizations to move from simple monitoring and visibility to reap the full benefits of unified observability. Some of those benefits include:

- Reduced MTTR with actionable insights and intelligent automation that improve digital service quality and enable more productive customers and employees.

- Improved first-level resolution rates by enabling junior teams to do the job of senior staff with confidence and without needing to escalate.

- Increase agility and productivity by reducing alert fatigue so operators can focus on fewer, more critical events with more first-time fixes.

Alluvio IQ is the first service built on the new Alluvio Unified Observability platform, a secure, highly available and scalable SaaS platform for cloud-native observability services. Alluvio IQ and the Platform are part of the Alluvio by Riverbed portfolio, which also include visibility tools for network performance management (NPM), IT Infrastructure Monitoring (ITIM) and Digital Experience Management (DEM), which encompasses application performance management (APM) and end user experience monitoring (EUEM).

“Modern IT environments are highly distributed and increasingly complex, making it more difficult to effectively or efficiently manage these environments and deliver positive experiences,” stated Bob Laliberte, principal analyst, ESG. “Compounding the issue is the “Great Resignation” reducing the number of experienced operations team members. Riverbed’s Alluvio IQ enables organizations to transform vast amounts of data into actionable insights so operations can regain control, drive greater operational efficiencies, (even with less experienced team members) and deliver enhanced customer experiences.”

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Riverbed Launches Alluvio IQ Unified Observability Service

Riverbed announced Alluvio IQ, a new cloud-native, SaaS-delivered Unified Observability service that empowers IT with actionable insights and intelligent automation to fix problems faster and improve digital service quality.

Alluvio IQ leverages full-fidelity network performance and end-user experience data across every transaction in the digital enterprise and applies AI and machine learning to contextually correlate data streams and alerts to identify the most business-impacting events.

The new service enables IT organizations to “shift left,” empowering all staff to do the job of more experienced IT experts, freeing-up senior IT staff to focus on strategic business initiatives.

This general release of Alluvio IQ follows a successful Beta release that began in late May and delivers on Riverbed’s April 27 strategy announcement to bring industry-leading unified observability to customers worldwide. In April, Riverbed introduced Alluvio by Riverbed, the company’s Unified Observability software portfolio, which unifies data, insights, and actions across the digital ecosystem so organizations can deliver seamless, secure digital experiences and drive enterprise performance.

Dan Smoot, CEO of Riverbed, said: “Observability today has evolved in the market to deal beyond the challenges of application monitoring, testing, and management. As IT teams continue to face issues managing complex, highly distributed environments, Riverbed saw the need for a broader definition and approach to solve an expanded set of challenges. We believe a unified approach to observability is key to allowing organizations to take back the reigns of IT by transforming massive amounts of data into actionable insights that drive enterprise performance and deliver exceptional digital experiences.”

Alluvio IQ was designed to help IT teams address the challenges caused by today’s complex IT environments, resource constraints, and data silos. Alluvio IQ leverages full-stack, full-fidelity telemetry about the end user, the network, and application to analyze 10+ million data points per minute for complete visibility, even into remote and hybrid work environments. Unlike other products that correlate events primarily based on time, Alluvio automates the process of gathering and correlating 10,000+ metrics per minute across time, device, location, and applications. Alluvio IQ also provides automated investigative workflows designed to replicate the best practices of expert IT teams— enabling enterprises to filter out noise, reduce escalations, set priorities, and scale knowledge residing in the minds of a few across the broader IT team.

Alluvio IQ enables IT organizations to move from simple monitoring and visibility to reap the full benefits of unified observability. Some of those benefits include:

- Reduced MTTR with actionable insights and intelligent automation that improve digital service quality and enable more productive customers and employees.

- Improved first-level resolution rates by enabling junior teams to do the job of senior staff with confidence and without needing to escalate.

- Increase agility and productivity by reducing alert fatigue so operators can focus on fewer, more critical events with more first-time fixes.

Alluvio IQ is the first service built on the new Alluvio Unified Observability platform, a secure, highly available and scalable SaaS platform for cloud-native observability services. Alluvio IQ and the Platform are part of the Alluvio by Riverbed portfolio, which also include visibility tools for network performance management (NPM), IT Infrastructure Monitoring (ITIM) and Digital Experience Management (DEM), which encompasses application performance management (APM) and end user experience monitoring (EUEM).

“Modern IT environments are highly distributed and increasingly complex, making it more difficult to effectively or efficiently manage these environments and deliver positive experiences,” stated Bob Laliberte, principal analyst, ESG. “Compounding the issue is the “Great Resignation” reducing the number of experienced operations team members. Riverbed’s Alluvio IQ enables organizations to transform vast amounts of data into actionable insights so operations can regain control, drive greater operational efficiencies, (even with less experienced team members) and deliver enhanced customer experiences.”

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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 ...