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Why Government Agencies Aren't Ready to Return to the Office

Mike Marks
Riverbed

US government agencies are bringing more of their employees back into the office and implementing hybrid work schedules, but federal workers are worried that their agencies' IT architectures aren't built to handle the "new normal." They fear that the reactive, manual methods used by the current systems in dealing with user, IT architecture and application problems will degrade the user experience and negatively affect productivity.

In fact, according to a recent survey, many federal employees are concerned that they won't work as effectively back in the office as they did at home.

Employees Worry the User Experience Will Suffer

A Swish Data/Riverbed survey of federal IT workers, conducted in April and May by Market Connections, found that about half (47%) expect hybrid schedules that include teleworking two to four days a week to continue long-term, but that 52% think that the legacy IT and on-premises network architectures will struggle with the increased use of on-site collaboration tools such as Microsoft Teams and Zoom.

Those shortcomings manifest themselves in the user experience, the survey found. Forty-four percent of respondents are concerned that their user experience working in the office would fall short of their experience working from home. And a significant reason for the disconnect is the outdated methods agencies use to identify and quantify problems that arise with IT operations, and how those problems affect users.

A full 100% of survey respondents said it is at least somewhat important to measure the employees' user experience of productivity capabilities. But 87% said their agencies still rely — reactively — on waiting for help desk tickets to be generated before addressing problems. In fact, 51% rely on user phone calls as the primary means of quantifying problems.

The result, according to 59% of the feds surveyed, is that agencies aren't aware of the impact that changes in their IT environments are having. They're not measuring business-function productivity in terms of labor costs, latency or rates of success, all of which are tied to user experience. A majority of respondents said that although their organizations compare the business transaction productivity of teleworkers to that of in-office workers, they do so only partially. And measuring and comparing employee productivity is less likely to happen at civilian agencies than within the Department of Defense.

Unified Observability Takes a Proactive Approach

In light of the realities of hybrid work—with flexible home/office schedules, a greater reliance on collaboration tools and the shift toward greater use of digital workflows — federal employees are looking for a balance between collaborative tools and in-person needs.

A proactive approach that combines comprehensive network visibility and effective monitoring tools can provide a clear view of the user experience, which can enable both increased productivity and enhanced user satisfaction.

A Unified Observability platform can provide full-fidelity data from across the enterprise, capturing all transactions, packets and workflows. Using automated artificial intelligence and machine learning tools, it can prioritize actions to help enable cross-domain collaboration and coordination. While greatly improving the ability of IT teams to identify and remediate any problems (ranging from cyberattacks to workflow bottlenecks), Unified Observability enables IT teams to improve service delivery.

The higher quality of IT service will improve employee performance and the delivery of services to constituents and other stakeholders by allowing employees to more seamlessly perform their jobs, whether working from home or in the office. The visibility provided by a Unified Observability platform allows multiple teams across the enterprise to identify and analyze user issues while making use of automation to quickly resolve any problems.

"Government from Anywhere" as a Reality

The impact of the COVID-19 pandemic on top of digital transformations that were already underway has forever changed how agencies operate. The concept of "government from anywhere" is a widespread goal, but it requires a cultural change at most agencies. The survey recipients agreed, with 87% saying that their agency culture played a growing or significant role in driving change.

Abandoning inefficient, reactive methods of measuring the user experience in favor of enterprise-wide visibility with proactive monitoring and analysis will improve user experiences regardless of their location, while also boosting agency performance overall.

Mike Marks is VP of Product Marketing at Riverbed

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Why Government Agencies Aren't Ready to Return to the Office

Mike Marks
Riverbed

US government agencies are bringing more of their employees back into the office and implementing hybrid work schedules, but federal workers are worried that their agencies' IT architectures aren't built to handle the "new normal." They fear that the reactive, manual methods used by the current systems in dealing with user, IT architecture and application problems will degrade the user experience and negatively affect productivity.

In fact, according to a recent survey, many federal employees are concerned that they won't work as effectively back in the office as they did at home.

Employees Worry the User Experience Will Suffer

A Swish Data/Riverbed survey of federal IT workers, conducted in April and May by Market Connections, found that about half (47%) expect hybrid schedules that include teleworking two to four days a week to continue long-term, but that 52% think that the legacy IT and on-premises network architectures will struggle with the increased use of on-site collaboration tools such as Microsoft Teams and Zoom.

Those shortcomings manifest themselves in the user experience, the survey found. Forty-four percent of respondents are concerned that their user experience working in the office would fall short of their experience working from home. And a significant reason for the disconnect is the outdated methods agencies use to identify and quantify problems that arise with IT operations, and how those problems affect users.

A full 100% of survey respondents said it is at least somewhat important to measure the employees' user experience of productivity capabilities. But 87% said their agencies still rely — reactively — on waiting for help desk tickets to be generated before addressing problems. In fact, 51% rely on user phone calls as the primary means of quantifying problems.

The result, according to 59% of the feds surveyed, is that agencies aren't aware of the impact that changes in their IT environments are having. They're not measuring business-function productivity in terms of labor costs, latency or rates of success, all of which are tied to user experience. A majority of respondents said that although their organizations compare the business transaction productivity of teleworkers to that of in-office workers, they do so only partially. And measuring and comparing employee productivity is less likely to happen at civilian agencies than within the Department of Defense.

Unified Observability Takes a Proactive Approach

In light of the realities of hybrid work—with flexible home/office schedules, a greater reliance on collaboration tools and the shift toward greater use of digital workflows — federal employees are looking for a balance between collaborative tools and in-person needs.

A proactive approach that combines comprehensive network visibility and effective monitoring tools can provide a clear view of the user experience, which can enable both increased productivity and enhanced user satisfaction.

A Unified Observability platform can provide full-fidelity data from across the enterprise, capturing all transactions, packets and workflows. Using automated artificial intelligence and machine learning tools, it can prioritize actions to help enable cross-domain collaboration and coordination. While greatly improving the ability of IT teams to identify and remediate any problems (ranging from cyberattacks to workflow bottlenecks), Unified Observability enables IT teams to improve service delivery.

The higher quality of IT service will improve employee performance and the delivery of services to constituents and other stakeholders by allowing employees to more seamlessly perform their jobs, whether working from home or in the office. The visibility provided by a Unified Observability platform allows multiple teams across the enterprise to identify and analyze user issues while making use of automation to quickly resolve any problems.

"Government from Anywhere" as a Reality

The impact of the COVID-19 pandemic on top of digital transformations that were already underway has forever changed how agencies operate. The concept of "government from anywhere" is a widespread goal, but it requires a cultural change at most agencies. The survey recipients agreed, with 87% saying that their agency culture played a growing or significant role in driving change.

Abandoning inefficient, reactive methods of measuring the user experience in favor of enterprise-wide visibility with proactive monitoring and analysis will improve user experiences regardless of their location, while also boosting agency performance overall.

Mike Marks is VP of Product Marketing at Riverbed

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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 ...