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Viavi Releases ApexNow

Viavi Solutions announced the availability of ApexNow, an app integration between VIAVI Observer Apex and ServiceNow IT Operations Management (ITOM) and Telecommunications Service Operations Management.

ApexNow provides IT teams with immediate access to the VIAVI patented End User Experience (EUE) scoring model, further accelerating problem identification, analysis and resolution for users of Observer and the ServiceNow Platform.

The Observer ApexNow application is available from the ServiceNow Store today.

The ApexNow application enables technicians with varied levels of training to quickly isolate issues by network, server, application or client domain, or by physical location. The VIAVI EUE Score is underpinned by a machine learning process providing insight into the root cause of a degradation to allow for an automated remediation process to be executed using the power of the ServiceNow Platform.

"Enterprises are grappling with increasing network complexity and security threats while facing a labor and skills gap. They need to equip their workforces with intuitive tools that will speed identification and resolution of issues from anywhere," said Rohit Batra, head of telecommunications, media & technology product at ServiceNow. "The integration of the VIAVI EUE Score into the ServiceNow platform is a terrific example of such user friendliness and efficiency, enabling our joint customers to stay ahead of IT and service issues."

"Over the last year, VIAVI and ServiceNow have collaborated to allow our customers to utilize our combined technologies and enhanced product capabilities in ways that are game-changing in day-to-day operations," said Chris Labac, Vice President and General Manager, Network Performance and Threat Solutions, VIAVI. "The ApexNow App integration is one visible result of this, building on a significant partnership and a focus on bringing impactful innovations to our customers."

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Viavi Releases ApexNow

Viavi Solutions announced the availability of ApexNow, an app integration between VIAVI Observer Apex and ServiceNow IT Operations Management (ITOM) and Telecommunications Service Operations Management.

ApexNow provides IT teams with immediate access to the VIAVI patented End User Experience (EUE) scoring model, further accelerating problem identification, analysis and resolution for users of Observer and the ServiceNow Platform.

The Observer ApexNow application is available from the ServiceNow Store today.

The ApexNow application enables technicians with varied levels of training to quickly isolate issues by network, server, application or client domain, or by physical location. The VIAVI EUE Score is underpinned by a machine learning process providing insight into the root cause of a degradation to allow for an automated remediation process to be executed using the power of the ServiceNow Platform.

"Enterprises are grappling with increasing network complexity and security threats while facing a labor and skills gap. They need to equip their workforces with intuitive tools that will speed identification and resolution of issues from anywhere," said Rohit Batra, head of telecommunications, media & technology product at ServiceNow. "The integration of the VIAVI EUE Score into the ServiceNow platform is a terrific example of such user friendliness and efficiency, enabling our joint customers to stay ahead of IT and service issues."

"Over the last year, VIAVI and ServiceNow have collaborated to allow our customers to utilize our combined technologies and enhanced product capabilities in ways that are game-changing in day-to-day operations," said Chris Labac, Vice President and General Manager, Network Performance and Threat Solutions, VIAVI. "The ApexNow App integration is one visible result of this, building on a significant partnership and a focus on bringing impactful innovations to our customers."

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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 ...

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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 ...

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