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Poor Network Visibility and Failures Cost Government up to $1 Million Per Hour

Nik Koutsoukos

For more than half of Federal IT decision makers, it takes a day or more to detect and fix application performances. That is why there is a federal network visibility crisis.

The extent of the crisis was revealed by in a Riverbed-commissioned survey of federal IT decision makers conducted by Market Connections, which also found that only 17 percent are able to address and fix the issue within minutes. Due to a lack of insight into how their networks and applications are performing, agencies cannot immediately pinpoint and address problems.

This is increasingly important because agencies are rapidly moving to the cloud to consolidate their IT resources, as 45 percent of respondents reported that the jump to the cloud has caused increasing network complexity. The result is data travels farther distances across agency networks to reach defense and civilian workers that rely on that information.

Poor application performance directly impacts federal agency productivity and the costs associated with network outages can be staggering. Today the average cost of an enterprise application failure per hour is $500,000 to $1 million.

Many federal IT executives lack the manpower, budget and tools necessary to find and fix performance issues quickly and efficiently. Without the right tools to monitor network and application performance, federal IT professionals cannot pinpoint problems that directly impact agency or mission effectiveness. This means supply chain delays of materiel to warfighters in the field or lack of access to critical defense and global security applications.

Networks need to perform quickly and seamlessly in order to fulfill mission requirements. Performance monitoring tools provide the broadest, most comprehensive view into network activity, helping to ensure fast performance, high security, and rapid recovery.

More than two-thirds (68%) of respondents see improved network reliability as a key value of monitoring tools and more than three-quarters (77%) of respondents said automated investigation and diagnosis is an important feature in a network monitoring solution. With visibility across the entire network and its applications, IT departments can identify and fix problems in minutes — before end users notice, and before productivity and citizen services suffer.

Survey respondents shared which features are important in network monitoring solutions, providing a window into their thoughts about current issues. Those features, listed in order of importance, are capacity planning (79%), automated investigation (77%), application-aware visibility (65%), and predictive modeling (58%).

There are key benefits to improving network visibility. An agency will have improved network reliability, know about problems before end-users do, have improved network speed, have maximized employee productivity, and have insight into risk management/cyber threats as benefits of using network monitoring tools. In addition, the challenge of network complexity will no longer be an issue because IT executives will be able to see an agency’s whole network, allowing them to be proactive in not only fixing issues but avoiding them as well.

With today’s globally distributed federal workforce, network visibility is critical to monitoring performance, and identifying and quickly fixing problems. Using network monitoring tools is a critical step toward managing the complex network environment and ensuring transfers to the cloud are effective and beneficial experiences for the agency, the end users and, ultimately, the constituents.

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Poor Network Visibility and Failures Cost Government up to $1 Million Per Hour

Nik Koutsoukos

For more than half of Federal IT decision makers, it takes a day or more to detect and fix application performances. That is why there is a federal network visibility crisis.

The extent of the crisis was revealed by in a Riverbed-commissioned survey of federal IT decision makers conducted by Market Connections, which also found that only 17 percent are able to address and fix the issue within minutes. Due to a lack of insight into how their networks and applications are performing, agencies cannot immediately pinpoint and address problems.

This is increasingly important because agencies are rapidly moving to the cloud to consolidate their IT resources, as 45 percent of respondents reported that the jump to the cloud has caused increasing network complexity. The result is data travels farther distances across agency networks to reach defense and civilian workers that rely on that information.

Poor application performance directly impacts federal agency productivity and the costs associated with network outages can be staggering. Today the average cost of an enterprise application failure per hour is $500,000 to $1 million.

Many federal IT executives lack the manpower, budget and tools necessary to find and fix performance issues quickly and efficiently. Without the right tools to monitor network and application performance, federal IT professionals cannot pinpoint problems that directly impact agency or mission effectiveness. This means supply chain delays of materiel to warfighters in the field or lack of access to critical defense and global security applications.

Networks need to perform quickly and seamlessly in order to fulfill mission requirements. Performance monitoring tools provide the broadest, most comprehensive view into network activity, helping to ensure fast performance, high security, and rapid recovery.

More than two-thirds (68%) of respondents see improved network reliability as a key value of monitoring tools and more than three-quarters (77%) of respondents said automated investigation and diagnosis is an important feature in a network monitoring solution. With visibility across the entire network and its applications, IT departments can identify and fix problems in minutes — before end users notice, and before productivity and citizen services suffer.

Survey respondents shared which features are important in network monitoring solutions, providing a window into their thoughts about current issues. Those features, listed in order of importance, are capacity planning (79%), automated investigation (77%), application-aware visibility (65%), and predictive modeling (58%).

There are key benefits to improving network visibility. An agency will have improved network reliability, know about problems before end-users do, have improved network speed, have maximized employee productivity, and have insight into risk management/cyber threats as benefits of using network monitoring tools. In addition, the challenge of network complexity will no longer be an issue because IT executives will be able to see an agency’s whole network, allowing them to be proactive in not only fixing issues but avoiding them as well.

With today’s globally distributed federal workforce, network visibility is critical to monitoring performance, and identifying and quickly fixing problems. Using network monitoring tools is a critical step toward managing the complex network environment and ensuring transfers to the cloud are effective and beneficial experiences for the agency, the end users and, ultimately, the constituents.

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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 ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

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