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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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77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...

We just surveyed 300 frontend and mobile engineers across 16 countries, and the finding that keeps sticking with me isn't the one about AI. It's this: 74% of engineering teams rate themselves in the "middle" of the observability maturity scale. Not reactive, not strategic. Stuck in the middle. They have dashboards, they have tracing, they have alerts. And yet when something goes wrong, they still can't tell you why ...

In MEAN TIME TO INSIGHT Episode 25, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses  AI's impact on the Wide Area Network (WAN) ... 

Application performance monitoring (APM) dashboards are only as useful as what they are configured to measure. The default setup covers obvious failure modes such as downtime, error spikes, and latency breaches, but it does not cover everything. Some failures produce no alerts or anomalies. The dashboard stays green while users experience a broken product. Here are six signs that is happening ...

The race to deploy AI is largely over. Most enterprises have entered it. The question now is not whether artificial intelligence is running inside the organization. The question is whether anyone is genuinely responsible for what it does. That is not a technical question. It is a leadership one. And most organizations are not yet structured to answer it honestly ...

A new analysis of 250 real-world queries across common retail tasks, such as product pricing, availability, ratings, shipping and specifications, reveals systemic inefficiency at the heart of web-based AI agents. On average, 97.9% of the data retrieved by agents from live web pages is irrelevant to the query being answered. Specifically, the average page ingested ran nearly 9,000 characters, while the average answer was just 32 characters, resulting in a noise-to-signal ratio of 278:1. Price queries were the most extreme outlier, with noise rates approaching 99.5%. That's not a rounding error. That's a structural problem ...

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...