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What the New "Infinite Workday" Means for IT Performance

Prakash Mana
Cloudbrink

The line between work and life is blurring faster than ever. A recent Microsoft study revealed that 40% of employees check emails before 6 a.m., and evening meetings have risen by 16% since the shift to remote work began. The result? A new phenomenon many are calling the "infinite workday."

While the psychological toll of this always-on culture has rightfully received attention, there's another, often-overlooked dimension: its impact on IT performance, digital access, and user experience. As the modern workday stretches unpredictably into early mornings and late nights, IT teams face mounting pressure to deliver consistent, secure, and high-performing connectivity, without a fixed schedule to rely on.

The Infinite Workday Is the New Normal

Hybrid and remote work models have become permanent features of the modern enterprise. Employees no longer conform to traditional schedules — they work around life, time zones, and availability. The benefits are clear: greater productivity, improved flexibility, better work-life balance, and inclusivity across distributed teams.

But there's a catch.

  • A marketing director might finish a report after their kids go to sleep at 10 p.m.
  • A product manager might jump on a morning call with Europe from their living room at 6:30 a.m.
  • A global team may collaborate asynchronously across three continents and five time zones.

This variability in work habits introduces performance unpredictability that the enterprise infrastructure was never originally designed for.

The IT Blind Spot: Performance After Hours

Historically, IT has planned infrastructure and support around peak business hours — roughly 9 to 5, Monday through Friday. But with users increasingly working outside these bounds, several issues are quietly taking a toll on enterprise productivity:

1. Uneven Access Performance

Evening and early morning usage is often met with laggy apps, dropped video calls, or slow access to cloud tools. The causes?

  • Congested home Wi-Fi
  • Overloaded VPN concentrators
  • Local ISP variability
  • Legacy systems not designed for high concurrency after hours

If an employee can't upload a file or share their screen at 8 p.m., they may abandon the task altogether — or worse, turn to shadow IT tools.

2. Understaffed Support Systems

When employees face access issues outside regular hours, they're often left without help. Static helpdesk staffing models don't account for this shift, leading to unresolved issues during critical productivity windows.

3. Missed Monitoring Signals

Most monitoring tools are optimized for office-hours visibility. Performance degradation that happens late at night or early morning often goes undetected, leading to delayed root cause analysis and unresolved recurring issues.

Why IT Must Rethink "Business Hours"

To keep pace with this always-on culture, IT must evolve from static operations to dynamic, user-centric performance models. That means designing for "any-hour availability" rather than prime-time optimization.

Here's how:

Expand APM to the Edge

Application Performance Monitoring (APM) tools tend to be server-focused, giving great visibility into backend performance but limited insights at the user edge.

Modern performance strategies must include:

  • Endpoint monitoring: Track device-level experience (CPU, bandwidth, battery).
  • Network intelligence: Understand how last-mile ISPs and local/home Wi-Fi affect performance.
  • Time-of-day trends: Identify patterns in evening/morning degradation.

By extending visibility into real-world user environments, IT teams can get ahead of performance issues — regardless of when they happen.

Modernize Access Infrastructure

Traditional VPNs and ZTNA were built for occasional remote access — not for entire companies working from hundreds of home offices at all hours.

Symptoms of outdated access tools include:

  • Sluggish app loading
  • Connection drops during meetings
  • Security vulnerabilities due to over-permissive access

Next-gen solutions must offer:

  • Zero Trust principles
  • Always-on connectivity without the overhead of VPNs
  • Global performance routing and last-mile optimization

Embrace Asynchronous Support Models

IT can no longer afford to be reactive within a 9-to-5 window. Support must reflect the reality of when and how people work.

Consider implementing:

  • AI-powered self-service portals for common connectivity issues
  • Tiered on-call rotations or "follow-the-sun" support models
  • Automated alerts for performance degradation outside of peak hours

This allows IT to offer meaningful coverage without stretching resources unnecessarily.

Make Performance Part of Your Culture

Technology isn't just infrastructure, it's part of employee experience. Poor performance after hours can send a message: your flexible work isn't really supported.

This impacts:

  • Trust: People lose faith in enterprise tools.
  • Engagement: Flexible work feels like lip service if it's frustrating in practice.
  • Adoption: Employees may default to consumer tools that bypass IT oversight.

What Leaders Can Do Now

IT leaders don't need to overhaul everything overnight. But here are 5 practical steps to get started:

1. Audit your peak traffic patterns — Are support tickets rising after-hours?

2. Talk to users — What are their top access frustrations outside of 9–5?

3. Evaluate remote access architecture — Are VPNs still the default?

4. Update SLAs — Do your internal service level expectations reflect real-world usage?

5. Invest in proactive performance monitoring — Especially at the edge.

Final Word: Supporting Work without Boundaries

The rise of the infinite workday isn't a passing trend — it's a structural shift in how work happens. Organizations that design for this new reality — technically and culturally — will outperform those that don't.

It's not just about uptime. It's about user experience, security, and trust, anytime, anywhere. 

Cloudbrink is purpose-built for supporting hybrid work — offering high-performance, zero-trust access that adapts to the user, not the other way around.

Prakash Mana is CEO of Cloudbrink

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What the New "Infinite Workday" Means for IT Performance

Prakash Mana
Cloudbrink

The line between work and life is blurring faster than ever. A recent Microsoft study revealed that 40% of employees check emails before 6 a.m., and evening meetings have risen by 16% since the shift to remote work began. The result? A new phenomenon many are calling the "infinite workday."

While the psychological toll of this always-on culture has rightfully received attention, there's another, often-overlooked dimension: its impact on IT performance, digital access, and user experience. As the modern workday stretches unpredictably into early mornings and late nights, IT teams face mounting pressure to deliver consistent, secure, and high-performing connectivity, without a fixed schedule to rely on.

The Infinite Workday Is the New Normal

Hybrid and remote work models have become permanent features of the modern enterprise. Employees no longer conform to traditional schedules — they work around life, time zones, and availability. The benefits are clear: greater productivity, improved flexibility, better work-life balance, and inclusivity across distributed teams.

But there's a catch.

  • A marketing director might finish a report after their kids go to sleep at 10 p.m.
  • A product manager might jump on a morning call with Europe from their living room at 6:30 a.m.
  • A global team may collaborate asynchronously across three continents and five time zones.

This variability in work habits introduces performance unpredictability that the enterprise infrastructure was never originally designed for.

The IT Blind Spot: Performance After Hours

Historically, IT has planned infrastructure and support around peak business hours — roughly 9 to 5, Monday through Friday. But with users increasingly working outside these bounds, several issues are quietly taking a toll on enterprise productivity:

1. Uneven Access Performance

Evening and early morning usage is often met with laggy apps, dropped video calls, or slow access to cloud tools. The causes?

  • Congested home Wi-Fi
  • Overloaded VPN concentrators
  • Local ISP variability
  • Legacy systems not designed for high concurrency after hours

If an employee can't upload a file or share their screen at 8 p.m., they may abandon the task altogether — or worse, turn to shadow IT tools.

2. Understaffed Support Systems

When employees face access issues outside regular hours, they're often left without help. Static helpdesk staffing models don't account for this shift, leading to unresolved issues during critical productivity windows.

3. Missed Monitoring Signals

Most monitoring tools are optimized for office-hours visibility. Performance degradation that happens late at night or early morning often goes undetected, leading to delayed root cause analysis and unresolved recurring issues.

Why IT Must Rethink "Business Hours"

To keep pace with this always-on culture, IT must evolve from static operations to dynamic, user-centric performance models. That means designing for "any-hour availability" rather than prime-time optimization.

Here's how:

Expand APM to the Edge

Application Performance Monitoring (APM) tools tend to be server-focused, giving great visibility into backend performance but limited insights at the user edge.

Modern performance strategies must include:

  • Endpoint monitoring: Track device-level experience (CPU, bandwidth, battery).
  • Network intelligence: Understand how last-mile ISPs and local/home Wi-Fi affect performance.
  • Time-of-day trends: Identify patterns in evening/morning degradation.

By extending visibility into real-world user environments, IT teams can get ahead of performance issues — regardless of when they happen.

Modernize Access Infrastructure

Traditional VPNs and ZTNA were built for occasional remote access — not for entire companies working from hundreds of home offices at all hours.

Symptoms of outdated access tools include:

  • Sluggish app loading
  • Connection drops during meetings
  • Security vulnerabilities due to over-permissive access

Next-gen solutions must offer:

  • Zero Trust principles
  • Always-on connectivity without the overhead of VPNs
  • Global performance routing and last-mile optimization

Embrace Asynchronous Support Models

IT can no longer afford to be reactive within a 9-to-5 window. Support must reflect the reality of when and how people work.

Consider implementing:

  • AI-powered self-service portals for common connectivity issues
  • Tiered on-call rotations or "follow-the-sun" support models
  • Automated alerts for performance degradation outside of peak hours

This allows IT to offer meaningful coverage without stretching resources unnecessarily.

Make Performance Part of Your Culture

Technology isn't just infrastructure, it's part of employee experience. Poor performance after hours can send a message: your flexible work isn't really supported.

This impacts:

  • Trust: People lose faith in enterprise tools.
  • Engagement: Flexible work feels like lip service if it's frustrating in practice.
  • Adoption: Employees may default to consumer tools that bypass IT oversight.

What Leaders Can Do Now

IT leaders don't need to overhaul everything overnight. But here are 5 practical steps to get started:

1. Audit your peak traffic patterns — Are support tickets rising after-hours?

2. Talk to users — What are their top access frustrations outside of 9–5?

3. Evaluate remote access architecture — Are VPNs still the default?

4. Update SLAs — Do your internal service level expectations reflect real-world usage?

5. Invest in proactive performance monitoring — Especially at the edge.

Final Word: Supporting Work without Boundaries

The rise of the infinite workday isn't a passing trend — it's a structural shift in how work happens. Organizations that design for this new reality — technically and culturally — will outperform those that don't.

It's not just about uptime. It's about user experience, security, and trust, anytime, anywhere. 

Cloudbrink is purpose-built for supporting hybrid work — offering high-performance, zero-trust access that adapts to the user, not the other way around.

Prakash Mana is CEO of Cloudbrink

The Latest

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

 

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ...