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Riverbed Adds Runbooks and Sentiment Analysis to Aternity Intelligent Service Desk

Riverbed announced advanced AI-driven automated remediation with the addition of customizable runbooks (Riverbed automation) and integrated sentiment analysis to Aternity’s Intelligent Service Desk.

The customizable runbooks in Aternity enable more sophisticated remediations — replicating advanced investigations by correlating end-user impact and real-time granular performance data to identify incident root cause in order to tackle IT’s most challenging issues. The new Intelligent Service Desk capabilities also enable IT to understand end-user satisfaction through the integration of sentiment analysis across remediation workflows, from issue detection to resolution.

Aternity’s Intelligent Service Desk dynamically models expert decision-making and logic-driven remediation by leveraging customizable runbooks. Unlike other DEX offerings that utilize numerous remediation scripts for narrow use cases, Aternity’s Intelligent Service Desk enables broader AI-driven automation capacity, eliminating the need for human intervention. For unresolved issues, an IT service management (ITSM) ticket is routed to the right level with the necessary context for swift resolution. Now, Aternity’s flexible automation logic streamlines and correlates user feedback via Sentiment Surveys, enabling optimal engagement levels to resolve simple and complex issues efficiently.

Key features and benefits of Riverbed Aternity’s Intelligent Service Desk integration include:

- AI-Driven Correlation and Anomaly Detection of device and application issues

- Intelligent automation across remediation workflows, resulting in incident prevention

- Out-of-the-box and customizable runbooks, automatically triggered by Service Desk Alerts

- Interactive user feedback via Sentiment Surveys to prioritize and optimally resolve issues

- Seamless integration with ITSM tools such as ServiceNow for targeted, intelligent ticketing

“Today’s announcement builds on Riverbed’s years of experience in AI and automation. Riverbed Aternity’s expansion of its Intelligent Service Desk capabilities marks a significant milestone to empower organizations with more sophisticated remediations and sentiment to augment human decision-making,” said Richard Tworek, CTO, at Riverbed. “By offloading repetitive and lower-value tasks to AI-driven algorithms and intelligent automation, we’re enabling Digital Workplace teams to not only build a more proactive approach to remediation but also free up more time for human ingenuity.”

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Riverbed Adds Runbooks and Sentiment Analysis to Aternity Intelligent Service Desk

Riverbed announced advanced AI-driven automated remediation with the addition of customizable runbooks (Riverbed automation) and integrated sentiment analysis to Aternity’s Intelligent Service Desk.

The customizable runbooks in Aternity enable more sophisticated remediations — replicating advanced investigations by correlating end-user impact and real-time granular performance data to identify incident root cause in order to tackle IT’s most challenging issues. The new Intelligent Service Desk capabilities also enable IT to understand end-user satisfaction through the integration of sentiment analysis across remediation workflows, from issue detection to resolution.

Aternity’s Intelligent Service Desk dynamically models expert decision-making and logic-driven remediation by leveraging customizable runbooks. Unlike other DEX offerings that utilize numerous remediation scripts for narrow use cases, Aternity’s Intelligent Service Desk enables broader AI-driven automation capacity, eliminating the need for human intervention. For unresolved issues, an IT service management (ITSM) ticket is routed to the right level with the necessary context for swift resolution. Now, Aternity’s flexible automation logic streamlines and correlates user feedback via Sentiment Surveys, enabling optimal engagement levels to resolve simple and complex issues efficiently.

Key features and benefits of Riverbed Aternity’s Intelligent Service Desk integration include:

- AI-Driven Correlation and Anomaly Detection of device and application issues

- Intelligent automation across remediation workflows, resulting in incident prevention

- Out-of-the-box and customizable runbooks, automatically triggered by Service Desk Alerts

- Interactive user feedback via Sentiment Surveys to prioritize and optimally resolve issues

- Seamless integration with ITSM tools such as ServiceNow for targeted, intelligent ticketing

“Today’s announcement builds on Riverbed’s years of experience in AI and automation. Riverbed Aternity’s expansion of its Intelligent Service Desk capabilities marks a significant milestone to empower organizations with more sophisticated remediations and sentiment to augment human decision-making,” said Richard Tworek, CTO, at Riverbed. “By offloading repetitive and lower-value tasks to AI-driven algorithms and intelligent automation, we’re enabling Digital Workplace teams to not only build a more proactive approach to remediation but also free up more time for human ingenuity.”

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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 ...