Organizations Renew Focus on End-User Experience as UCC Troubleshooting Headaches Escalate

Learn more about Viavi

As organizations continue to adapt to a post-pandemic surge in cloud-based productivity, the 2023 State of the Network report from Viavi Solutions details how end-user awareness remains critical and explores the benefits — and challenges — of cloud and off-premises network modernization initiatives.

One theme carried over from the previous years' studies was the perseverance and resilience IT teams are building as they manage network performance while balancing new technology deployment, security threats and visibility gaps. Both SD-WAN and cloud-based services have reached nearly 100% adoption, with zero-trust network access (ZTNA) deployment on the rise as a cybersecurity priority.

End-user experience is the highest-ranking key performance indicator (KPI) among IT teams, with 7 in 10 considering it more important than other KPIs derived through active monitoring, packets, and flow data.


The report also highlights the inherent monitoring challenges involved in the transition to a remote-first, cloud-native modern enterprise. Around 70% of organizations surveyed say more than half of their applications are hosted in the cloud. However, fewer than 1% of organizations say they are satisfied with network visibility, with 4 in 5 citing visibility of cloud or off-premises assets as a top concern. TLS encryption, vital for enhancing IT cybersecurity, also complicates visibility objectives.

Troubleshooting teams are also under increased pressure. Echoing findings from 14 of the past 15 surveys, problem domain isolation — pinpointing issues across network, server, application, or client domains — remains one of the biggest challenges for IT teams. The inability to adequately monitor bandwidth consumption ranks close behind. IT teams also cited the number of tools needed to resolve specific issues as a primary concern, and sourcing the requisite talent to troubleshoot network performance issues remains a key obstacle.

As organizations continue to adopt Unified Communications and Collaboration (UCC), the nature of UCC's near real-time performance demands is becoming more apparent. According to the report, nearly half (49%) of teams spend between 10 and 20 hours per week troubleshooting UCC platforms, with 42% spending up to 10 hours per week.

Despite the increased workload on troubleshooting teams, 83% of organizations said that the benefits of cloud modernization, including savings and increased productivity, outweighed the costs.

"The words 'perseverance' and 'resilience' spring to mind when considering the effort IT teams are putting into ensuring service delivery in the current environment," commented Chris Labac, VP and GM, Network Performance and Threat Solutions, VIAVI. "Organizations understand the growing demand for bandwidth and the myriad benefits of becoming remote-first, cloud-oriented enterprises and are determined to follow through on their plans. However, visibility over off-premise areas such as SASE devices, cloud-hosted services, and the general experience of remote users, has never been more important."

He continued, "Organizations can overcome many of these critical challenges with more automated problem identification and domain isolation capabilities. Automation efforts should also mean IT teams spend less time in the war room and more time driving strategic initiatives."

Methodology: VIAVI (and previously Network Instruments) has conducted its State of the Network global study for 15 consecutive years, drawing insight about network trends and identifying some of the challenges faced by IT teams. Results were compiled from 307 respondents including network, security, and development operations professionals from around the world. In addition to geographic diversity, the study population was distributed by age, industry experience, current level, job function, department, revenue, employee count, and business verticals.

Hot Topics

The Latest

How AI Agents Are Reshaping DataOps for the Always-On Enterprise

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 ...

AI Deepfakes: Rethinking Trust in the Workplace

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 ...

Nine in Ten Enterprises Plan Cloud Data Repatriation amid Rising Cloud Costs and Data Sovereignty Mandates

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 ...

Why ITOps Need Right-Sized AI, Not Bigger Models

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 ...

The End of Reactive DevOps: AI-Driven Observability for Zero-Defect Digital Systems

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 ...

5 Takeaways from the Observability Forecast for Media and Entertainment

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 ...

Why Moving Off the Cloud Is the Easy Part and What Comes Next Is Where Things Get Hard

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 ...

MEAN TIME TO INSIGHT Podcast - Episode 24: Network Observability Tool Sprawl

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

Capacity Isn't a Guess: Observability-Driven Sizing for On-Prem Databases

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 ...

5 Security Principles Every Entrepreneur Should Apply to Leadership

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 ...

Organizations Renew Focus on End-User Experience as UCC Troubleshooting Headaches Escalate

Learn more about Viavi

As organizations continue to adapt to a post-pandemic surge in cloud-based productivity, the 2023 State of the Network report from Viavi Solutions details how end-user awareness remains critical and explores the benefits — and challenges — of cloud and off-premises network modernization initiatives.

One theme carried over from the previous years' studies was the perseverance and resilience IT teams are building as they manage network performance while balancing new technology deployment, security threats and visibility gaps. Both SD-WAN and cloud-based services have reached nearly 100% adoption, with zero-trust network access (ZTNA) deployment on the rise as a cybersecurity priority.

End-user experience is the highest-ranking key performance indicator (KPI) among IT teams, with 7 in 10 considering it more important than other KPIs derived through active monitoring, packets, and flow data.


The report also highlights the inherent monitoring challenges involved in the transition to a remote-first, cloud-native modern enterprise. Around 70% of organizations surveyed say more than half of their applications are hosted in the cloud. However, fewer than 1% of organizations say they are satisfied with network visibility, with 4 in 5 citing visibility of cloud or off-premises assets as a top concern. TLS encryption, vital for enhancing IT cybersecurity, also complicates visibility objectives.

Troubleshooting teams are also under increased pressure. Echoing findings from 14 of the past 15 surveys, problem domain isolation — pinpointing issues across network, server, application, or client domains — remains one of the biggest challenges for IT teams. The inability to adequately monitor bandwidth consumption ranks close behind. IT teams also cited the number of tools needed to resolve specific issues as a primary concern, and sourcing the requisite talent to troubleshoot network performance issues remains a key obstacle.

As organizations continue to adopt Unified Communications and Collaboration (UCC), the nature of UCC's near real-time performance demands is becoming more apparent. According to the report, nearly half (49%) of teams spend between 10 and 20 hours per week troubleshooting UCC platforms, with 42% spending up to 10 hours per week.

Despite the increased workload on troubleshooting teams, 83% of organizations said that the benefits of cloud modernization, including savings and increased productivity, outweighed the costs.

"The words 'perseverance' and 'resilience' spring to mind when considering the effort IT teams are putting into ensuring service delivery in the current environment," commented Chris Labac, VP and GM, Network Performance and Threat Solutions, VIAVI. "Organizations understand the growing demand for bandwidth and the myriad benefits of becoming remote-first, cloud-oriented enterprises and are determined to follow through on their plans. However, visibility over off-premise areas such as SASE devices, cloud-hosted services, and the general experience of remote users, has never been more important."

He continued, "Organizations can overcome many of these critical challenges with more automated problem identification and domain isolation capabilities. Automation efforts should also mean IT teams spend less time in the war room and more time driving strategic initiatives."

Methodology: VIAVI (and previously Network Instruments) has conducted its State of the Network global study for 15 consecutive years, drawing insight about network trends and identifying some of the challenges faced by IT teams. Results were compiled from 307 respondents including network, security, and development operations professionals from around the world. In addition to geographic diversity, the study population was distributed by age, industry experience, current level, job function, department, revenue, employee count, and business verticals.

Hot Topics

The Latest

How AI Agents Are Reshaping DataOps for the Always-On Enterprise

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 ...

AI Deepfakes: Rethinking Trust in the Workplace

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 ...

Nine in Ten Enterprises Plan Cloud Data Repatriation amid Rising Cloud Costs and Data Sovereignty Mandates

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 ...

Why ITOps Need Right-Sized AI, Not Bigger Models

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 ...

The End of Reactive DevOps: AI-Driven Observability for Zero-Defect Digital Systems

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 ...

5 Takeaways from the Observability Forecast for Media and Entertainment

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 ...

Why Moving Off the Cloud Is the Easy Part and What Comes Next Is Where Things Get Hard

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 ...

MEAN TIME TO INSIGHT Podcast - Episode 24: Network Observability Tool Sprawl

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

Capacity Isn't a Guess: Observability-Driven Sizing for On-Prem Databases

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 ...

5 Security Principles Every Entrepreneur Should Apply to Leadership

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 ...