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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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Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...

For many retail brands, peak season is the annual stress test of their digital infrastructure. It's also when often technical dashboards glow green, yet customer feedback, digital experience frustration, and conversion trends tell a different story entirely. Over the past several years, we've seen the same pattern across retail, financial services, travel, and media: internal application performance metrics fail to capture the true experience of users connecting over local broadband, mobile carriers, and congested networks using multiple devices across geographies ...

PostgreSQL promises greater flexibility, performance, and cost savings compared to proprietary alternatives. But successfully deploying it isn't always straightforward, and there are some hidden traps along the way that even seasoned IT leaders can stumble into. In this blog, I'll highlight five of the most common pitfalls with PostgreSQL deployment and offer guidance on how to avoid them, along with the best path forward ...

The rise of hybrid cloud environments, the explosion of IoT devices, the proliferation of remote work, and advanced cyber threats have created a monitoring challenge that traditional approaches simply cannot meet. IT teams find themselves drowning in a sea of data, struggling to identify critical threats amidst a deluge of alerts, and often reacting to incidents long after they've begun. This is where AI and ML are leveraged ...

Three practices, chaos testing, incident retrospectives, and AIOps-driven monitoring, are transforming platform teams from reactive responders into proactive builders of resilient, self-healing systems. The evolution is not just technical; it's cultural. The modern platform engineer isn't just maintaining infrastructure. They're product owners designing for reliability, observability, and continuous improvement ...

Getting applications into the hands of those who need them quickly and securely has long been the goal of a branch of IT often referred to as End User Computing (EUC). Over recent years, the way applications (and data) have been delivered to these "users" has changed noticeably. Organizations have many more choices available to them now, and there will be more to come ... But how did we get here? Where are we going? Is this all too complicated? ...

On November 18, a single database permission change inside Cloudflare set off a chain of failures that rippled across the Internet. Traffic stalled. Authentication broke. Workers KV returned waves of 5xx errors as systems fell in and out of sync. For nearly three hours, one of the most resilient networks on the planet struggled under the weight of a change no one expected to matter ... Cloudflare recovered quickly, but the deeper lesson reaches far beyond this incident ...

Chris Steffen and Ken Buckler from EMA discuss the Cloudflare outage and what availability means in the technology space ...

Every modern industry is confronting the same challenge: human reaction time is no longer fast enough for real-time decision environments. Across sectors, from financial services to manufacturing to cybersecurity and beyond, the stakes mirror those of autonomous vehicles — systems operating in complex, high-risk environments where milliseconds matter ...