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VIAVI Introduces Observer 17.5 with End-User Experience Score

Viavi Solutions unveiled Observer 17.5, which replaces the plethora of detailed KPIs provided to network engineers with a single outcome-focused End-User Experience Score to dramatically reduce the guesswork and dead ends that often result from troubleshooting processes utilized by network teams.

The new, patent-pending End-User Experience Score simplifies the management and troubleshooting process by describing network and application performance from the perspective of the user as a single numeric value, along with intuitive problem descriptions and performance visualizations. Adaptive machine learning, running hundreds of data sets through an algorithm, creates a single score for any user transaction. As a part of investigative workflows, engineers can quickly examine issues and provide focused, filtered wire-data evidence to IT teams.

“The key question facing any IT team considering a network monitoring solution is: Does this make it easier to find the problem, or just add another step?” said Jonathan Davis, author of It Must Be The Network…. “VIAVI Observer clearly answers this question. This is not looking for a needle in a haystack. This is turning on an extremely powerful magnet and letting the needle come to you.”

To ensure the accuracy and completeness of its performance analytics in high-speed network environments, Observer provides full-fidelity forensics for investigations with interfaces for 10, 40, and now 100 Gb. Observer GigaStor has been validated by third-party analysts to achieve the highest, sustained real-world 40 Gb performance in the industry without dropping a single packet. As network traffic volumes increase, IT teams can be assured every metric reported is supported by wire data for root-cause analysis and granular reconstruction.

“You can’t monitor your network in a silo because performance metrics don’t equal user experience. Armed with only a one-dimensional view based on network performance data alone, IT support teams are forced to make rough guesses at the cause of user experience issues, wasting time and money,” said Doug Roberts, VP and GM,, Enterprise & Cloud, VIAVI. “VIAVI delivers the true power of adaptive intelligence to monitor network conditions from the perspective of users, enabling enterprise IT to stay a step ahead of performance degradation and ensure optimal user experience in real-time.”

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VIAVI Introduces Observer 17.5 with End-User Experience Score

Viavi Solutions unveiled Observer 17.5, which replaces the plethora of detailed KPIs provided to network engineers with a single outcome-focused End-User Experience Score to dramatically reduce the guesswork and dead ends that often result from troubleshooting processes utilized by network teams.

The new, patent-pending End-User Experience Score simplifies the management and troubleshooting process by describing network and application performance from the perspective of the user as a single numeric value, along with intuitive problem descriptions and performance visualizations. Adaptive machine learning, running hundreds of data sets through an algorithm, creates a single score for any user transaction. As a part of investigative workflows, engineers can quickly examine issues and provide focused, filtered wire-data evidence to IT teams.

“The key question facing any IT team considering a network monitoring solution is: Does this make it easier to find the problem, or just add another step?” said Jonathan Davis, author of It Must Be The Network…. “VIAVI Observer clearly answers this question. This is not looking for a needle in a haystack. This is turning on an extremely powerful magnet and letting the needle come to you.”

To ensure the accuracy and completeness of its performance analytics in high-speed network environments, Observer provides full-fidelity forensics for investigations with interfaces for 10, 40, and now 100 Gb. Observer GigaStor has been validated by third-party analysts to achieve the highest, sustained real-world 40 Gb performance in the industry without dropping a single packet. As network traffic volumes increase, IT teams can be assured every metric reported is supported by wire data for root-cause analysis and granular reconstruction.

“You can’t monitor your network in a silo because performance metrics don’t equal user experience. Armed with only a one-dimensional view based on network performance data alone, IT support teams are forced to make rough guesses at the cause of user experience issues, wasting time and money,” said Doug Roberts, VP and GM,, Enterprise & Cloud, VIAVI. “VIAVI delivers the true power of adaptive intelligence to monitor network conditions from the perspective of users, enabling enterprise IT to stay a step ahead of performance degradation and ensure optimal user experience in real-time.”

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...