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Network Observability Makes Organizations 3.5X More Likely to Reduce Incident Detection Time

Organizations with a formal observability strategy are 3.5x more likely to detect disruptive incidents quickly compared to those without such a strategy, according to the 2024/25 State of the Network Study from in partnership with TechTarget's Enterprise Strategy Group™ (ESG).

This approach not only shortens incident detection times but also brings additional benefits, such as enhanced security, faster product/service advancements, and improved compliance (78%).


Source: VIAVI Solutions

Network observability provides deep insights into network behavior, performance, and health by collecting, analyzing, and presenting data, enabling administrators to understand and manage the network in real time. True network observability embraces and leverages all network data sets, including flow data, packet data, and metrics. Unlike traditional monitoring, which primarily focuses on identifying and alerting on predefined issues, observability enables IT teams to proactively detect, understand, and resolve incidents in real-time. By adopting an observability strategy, organizations can proactively manage network performance, improve problem resolution, and maintain higher levels of user satisfaction.

"As discovered by VIAVI and ESG, the state of the network is ever more vital to business success, even as it is continuously stretched, evolved, clouded and threatened," added Jim Frey, Principal Analyst, Networking, ESG. "Organizations are recognizing the challenges posed by sprawl in monitoring tools and increasingly complex hybrid network architectures, and those making the move — strategically or otherwise — to network observability are seeing significant improvements. In parallel with operational advantages, this move empowers organizations to pursue convergence of observability and security and enable important new strategies such as continuous threat exposure management."

The report found that companies use a variety of tools including:

■ Network performance monitoring (NPM) – 82%

■ Infrastructure monitoring - 71%

■ Application performance monitoring (APM) - 69%

■ Digital experience monitoring - 62%

■ Asset/inventory management – 58%

■ Log management – 56%

More than a quarter of companies (27%) use all of the above.

Other key findings include:

Reducing Incident Detection Time

Organizations with a formal observability strategy are 3.5x more likely to report significantly shorter times to detect disruptive incidents.

Minimizing tool sprawl

The report found that the average number of monitoring tools is 10, and 38% of respondents use more than 11 tools.

The report also found that companies with 10 or less monitoring tools experienced a 58% shorter average MTTR compared to companies with 11 or more tools, and companies with 11 or more tools were 64% more likely to struggle with comprehensive or automated analysis, such a machine learning or AIOps.

Enhancing Security

The report underscores the critical need for Continuous Threat Exposure Management (CTEM), with 88% of organizations highlighting an urgent need to improve their threat management capabilities, and 83% of companies with observability strategies experiencing enhanced security.

CTEM is an emerging strategy that systematically evaluates and prioritizes risks, allowing organizations to allocate resources more effectively and focus on the most significant threats. By integrating threat exposure management with attack surface management, CTEM helps organizations enhance their security posture and operational resilience, ensuring they can proactively manage and mitigate evolving threats. CTEM programs are now gaining traction, ranking behind patch management and vulnerability assessments only among current methods for managing threat exposure.

Improving Compliance

78% of organizations maintain better compliance with a formal observability strategy.

"Organizations are increasingly recognizing the transformative impact of observability on network management and security," said Chris Labac, VP and GM, Network Performance and Threat Solutions, VIAVI. "This report demonstrates a clear trend toward network observability, not only as a way of enhancing security, achieving compliance objectives, and detecting incidents, but as a key driver of business."

Methodology: The report is based on a survey of 754 respondents from 10 countries.

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Network Observability Makes Organizations 3.5X More Likely to Reduce Incident Detection Time

Organizations with a formal observability strategy are 3.5x more likely to detect disruptive incidents quickly compared to those without such a strategy, according to the 2024/25 State of the Network Study from in partnership with TechTarget's Enterprise Strategy Group™ (ESG).

This approach not only shortens incident detection times but also brings additional benefits, such as enhanced security, faster product/service advancements, and improved compliance (78%).


Source: VIAVI Solutions

Network observability provides deep insights into network behavior, performance, and health by collecting, analyzing, and presenting data, enabling administrators to understand and manage the network in real time. True network observability embraces and leverages all network data sets, including flow data, packet data, and metrics. Unlike traditional monitoring, which primarily focuses on identifying and alerting on predefined issues, observability enables IT teams to proactively detect, understand, and resolve incidents in real-time. By adopting an observability strategy, organizations can proactively manage network performance, improve problem resolution, and maintain higher levels of user satisfaction.

"As discovered by VIAVI and ESG, the state of the network is ever more vital to business success, even as it is continuously stretched, evolved, clouded and threatened," added Jim Frey, Principal Analyst, Networking, ESG. "Organizations are recognizing the challenges posed by sprawl in monitoring tools and increasingly complex hybrid network architectures, and those making the move — strategically or otherwise — to network observability are seeing significant improvements. In parallel with operational advantages, this move empowers organizations to pursue convergence of observability and security and enable important new strategies such as continuous threat exposure management."

The report found that companies use a variety of tools including:

■ Network performance monitoring (NPM) – 82%

■ Infrastructure monitoring - 71%

■ Application performance monitoring (APM) - 69%

■ Digital experience monitoring - 62%

■ Asset/inventory management – 58%

■ Log management – 56%

More than a quarter of companies (27%) use all of the above.

Other key findings include:

Reducing Incident Detection Time

Organizations with a formal observability strategy are 3.5x more likely to report significantly shorter times to detect disruptive incidents.

Minimizing tool sprawl

The report found that the average number of monitoring tools is 10, and 38% of respondents use more than 11 tools.

The report also found that companies with 10 or less monitoring tools experienced a 58% shorter average MTTR compared to companies with 11 or more tools, and companies with 11 or more tools were 64% more likely to struggle with comprehensive or automated analysis, such a machine learning or AIOps.

Enhancing Security

The report underscores the critical need for Continuous Threat Exposure Management (CTEM), with 88% of organizations highlighting an urgent need to improve their threat management capabilities, and 83% of companies with observability strategies experiencing enhanced security.

CTEM is an emerging strategy that systematically evaluates and prioritizes risks, allowing organizations to allocate resources more effectively and focus on the most significant threats. By integrating threat exposure management with attack surface management, CTEM helps organizations enhance their security posture and operational resilience, ensuring they can proactively manage and mitigate evolving threats. CTEM programs are now gaining traction, ranking behind patch management and vulnerability assessments only among current methods for managing threat exposure.

Improving Compliance

78% of organizations maintain better compliance with a formal observability strategy.

"Organizations are increasingly recognizing the transformative impact of observability on network management and security," said Chris Labac, VP and GM, Network Performance and Threat Solutions, VIAVI. "This report demonstrates a clear trend toward network observability, not only as a way of enhancing security, achieving compliance objectives, and detecting incidents, but as a key driver of business."

Methodology: The report is based on a survey of 754 respondents from 10 countries.

The Latest

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

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 ...