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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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For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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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

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...