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Unified Data Sources Deliver Faster MTTD and Shorter MTTR

Reliance on packet capture to improve mean times to detection (MTTD) and resolution (MTTR) is likely to increase in 79% of enterprise organizations this year, according to the 2025/2026 State of the Network study by VIAVI Solutions, in partnership with Enterprise Strategy Group, now part of Omdia.

The study reveals how IT network and security teams are evolving to meet the demands of hybrid infrastructure, rising cloud complexity, and increasing pressure to detect and resolve issues faster. Based on insights from 750 global professionals, it highlights a clear shift toward deeper network observability, renewed reliance on packet capture, growing cross-functional collaboration in cloud monitoring, and the accelerating convergence of network operations (NetOps) and security operations (SecOps).

The study shows that organizations with strong packet capture experienced notable improvements to MTTD, with double the number of respondents reporting a significantly shorter MTTD rate over the past year compared to those lacking strong packet capture capability.

In addition, respondents with good packet capture abilities were four times more likely to resolve issues in under an hour, and almost 35% more likely to resolve them in under three hours.

"As environments grow more distributed and threats become more dynamic, the path forward is clear. Unified visibility, smarter tooling, and operational alignment are no longer optional — they're essential," said Chris Labac, VP and GM, Network Performance and Threat Solutions, VIAVI. "Packet-level visibility has been proven to accelerate the detection, response, and resolution of network issues. Our report demonstrates that organizations not only understand the need for full fidelity forensics, multi-cloud visibility and NetSecOps alignment, but are actively putting steps in place to improve overall network observability."

Key findings include:

  • 79% of organizations report growing reliance on packet data, with measurable improvements in MTTD, MTTR, and alert accuracy.
  • Organizations with robust packet visibility are four times more likely to achieve MTTR under an hour compared to those without.
  • The shift toward multi-cloud environments is driving a 125% increase in collaborative monitoring models.
  • 42% of organizations that implemented NetSecOps models reported enhanced security benefits.
  • While 92% of organizations reported that they had sufficient budget to meet their needs, 78% believed there was a need for more support to prepare for rising network security threats.

"Networks are under constant threat and permanently stretched, yet what is clear from VIAVI and ESG's research is that most companies are taking steps to continually improve their uptime. Indeed, despite hard times, investment is set to increase in the overwhelming majority of companies for every single one of the 11 IT solutions we examined," said Jim Frey, Principal Analyst, Networking, Enterprise Strategy Group from Informa Tech Target. "This means there's a lot to be positive about, and this research demonstrates exactly where organizations are getting the greatest returns on investment to enable the best practices to be used across the industry."

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One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

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Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

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If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

Unified Data Sources Deliver Faster MTTD and Shorter MTTR

Reliance on packet capture to improve mean times to detection (MTTD) and resolution (MTTR) is likely to increase in 79% of enterprise organizations this year, according to the 2025/2026 State of the Network study by VIAVI Solutions, in partnership with Enterprise Strategy Group, now part of Omdia.

The study reveals how IT network and security teams are evolving to meet the demands of hybrid infrastructure, rising cloud complexity, and increasing pressure to detect and resolve issues faster. Based on insights from 750 global professionals, it highlights a clear shift toward deeper network observability, renewed reliance on packet capture, growing cross-functional collaboration in cloud monitoring, and the accelerating convergence of network operations (NetOps) and security operations (SecOps).

The study shows that organizations with strong packet capture experienced notable improvements to MTTD, with double the number of respondents reporting a significantly shorter MTTD rate over the past year compared to those lacking strong packet capture capability.

In addition, respondents with good packet capture abilities were four times more likely to resolve issues in under an hour, and almost 35% more likely to resolve them in under three hours.

"As environments grow more distributed and threats become more dynamic, the path forward is clear. Unified visibility, smarter tooling, and operational alignment are no longer optional — they're essential," said Chris Labac, VP and GM, Network Performance and Threat Solutions, VIAVI. "Packet-level visibility has been proven to accelerate the detection, response, and resolution of network issues. Our report demonstrates that organizations not only understand the need for full fidelity forensics, multi-cloud visibility and NetSecOps alignment, but are actively putting steps in place to improve overall network observability."

Key findings include:

  • 79% of organizations report growing reliance on packet data, with measurable improvements in MTTD, MTTR, and alert accuracy.
  • Organizations with robust packet visibility are four times more likely to achieve MTTR under an hour compared to those without.
  • The shift toward multi-cloud environments is driving a 125% increase in collaborative monitoring models.
  • 42% of organizations that implemented NetSecOps models reported enhanced security benefits.
  • While 92% of organizations reported that they had sufficient budget to meet their needs, 78% believed there was a need for more support to prepare for rising network security threats.

"Networks are under constant threat and permanently stretched, yet what is clear from VIAVI and ESG's research is that most companies are taking steps to continually improve their uptime. Indeed, despite hard times, investment is set to increase in the overwhelming majority of companies for every single one of the 11 IT solutions we examined," said Jim Frey, Principal Analyst, Networking, Enterprise Strategy Group from Informa Tech Target. "This means there's a lot to be positive about, and this research demonstrates exactly where organizations are getting the greatest returns on investment to enable the best practices to be used across the industry."

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Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...