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Who's Behind the Management of 24/7 Digital Services?

Eric Sigler

There's no doubt that the technological advances throughout the past several decades have drastically changed how we go about our day-to-day lives. Gone are the days of paper maps and digital cameras, replaced by digital applications available at just the touch of a button — all with high user expectations for seamless performance.

What often goes overlooked in our always-on digital culture are the people at the other end of each of these services tasked with their 24/7 management. If something goes wrong, users are quick to complain or switch to a competitor as IT practitioners on the backend race to rectify the situation.

A recent PagerDuty State of IT Work-Life Balance Report revealed that IT professionals are struggling with the pressures associated with the management of these digital offerings. The survey of more than 800 IT professionals across the US, Australia and the UK indicated that this always-on culture has made the management of digital operations a daunting task for any modern organization aiming to provide quality digital offerings 24/7, wreaking havoc on IT employee work-life balance.


Prevalent Pain Points

According to the previously released PagerDuty 2017 State of Digital Operations report series, the usage of digital services is rising. Consumers rely on the use of these digital applications to accomplish a variety of tasks and have come to expect these services to be fast, secure and easy-to-use.

Failure to meet consumer expectations can have detrimental effects on the companies providing these services, adding pressure to IT teams tasked with delivering on customer satisfaction. In fact, the report reveals that the inability to manage the pressures associated with management of digital services was rated the number one side-effect of fair or poor work-life balance across regions.

94.5 percent of survey respondents believe 24/7 management of digital services results in decreased productivity

The survey also indicated that 94.5 percent of survey respondents believe 24/7 management of digital services results in decreased productivity, making it difficult to provide consistently reliable services.

For some, the burden of the always-on digital lifestyle goes much further than a decrease in productivity. The survey revealed 51.6 percent of respondents in the US stated that being on-call affects their ability to maintain overall health and wellness. When asked how being responsible for digital services impacts members of their family, 25 percent of IT professionals said that it makes their job unmanageable at times.

Visibility Matters

Not only does poor operations health management affect IT professionals and their families, it can have a significant business impact. More than half (52 percent) of IT professionals across the US, Australia and UK reported that their organizations spend between $250,000 and $500,000 on DevOps/ITOps tools to help maintain critical digital services.

In addition to these costs, organizations may face a hefty price tag associated with employee turnover if poor work-life balance isn't rectified. In fact, nearly a quarter (23.1 percent) of survey respondents reported that they would be more likely to search for a new job due to poor work-life balance.

58.9 percent of IT managers don't have the visibility necessary to know when their teams experience a difficult on-call period

Worryingly, the report went on to reveal that 58.9 percent of IT managers don't have the visibility necessary to know when their teams experience a difficult on-call period. Without this visibility, managers are unable to take the necessary actions to course-correct for future on-call periods, potentially impacting an IT professional's overall perception of their work-life balance. Of the respondents who said their managers have slight to no visibility into difficult on-call periods, nearly 1 in 5 (18.1 percent) rated their work-life balance as fair to poor.

The Global Work-Life Imbalance

The survey also showed that while the majority (84.1) of all IT professionals rate their work-life balance as good, very good or excellent, of this 84.1 percent, more than half (56.7 percent) believe that poor work-life balance is just part of the job. Additionally, 40.4 percent agree their work-life balance isn't the greatest but they deal with it anyway.

The responsibility associated with keeping critical digital services healthy is stressful. As result, on-call IT personnel are at high risk for experiencing poor work-life balance, resulting in costly company turnover and lessened productivity. Luckily, there is an alternative. IT teams now have the ability to leverage tools, services, processes and best practices to gain better visibility into difficult on-call periods. These tools statistically measure the impact of incident response on human behavior and can help to reduce the burden of alert fatigue.

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For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

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The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...

Enterprise IT environments have never been more observable ... Yet many organizations still grapple with outages, lengthy incident resolution cycles, and increasing complexity. Most teams do not suffer from a shortage of data. They struggle to determine what deserves attention and what action to take next ... Enterprise IT operations must move beyond monitoring and visibility. The next stage of maturity is decision operations, an approach that helps teams make faster, better-informed decisions ...

Who's Behind the Management of 24/7 Digital Services?

Eric Sigler

There's no doubt that the technological advances throughout the past several decades have drastically changed how we go about our day-to-day lives. Gone are the days of paper maps and digital cameras, replaced by digital applications available at just the touch of a button — all with high user expectations for seamless performance.

What often goes overlooked in our always-on digital culture are the people at the other end of each of these services tasked with their 24/7 management. If something goes wrong, users are quick to complain or switch to a competitor as IT practitioners on the backend race to rectify the situation.

A recent PagerDuty State of IT Work-Life Balance Report revealed that IT professionals are struggling with the pressures associated with the management of these digital offerings. The survey of more than 800 IT professionals across the US, Australia and the UK indicated that this always-on culture has made the management of digital operations a daunting task for any modern organization aiming to provide quality digital offerings 24/7, wreaking havoc on IT employee work-life balance.


Prevalent Pain Points

According to the previously released PagerDuty 2017 State of Digital Operations report series, the usage of digital services is rising. Consumers rely on the use of these digital applications to accomplish a variety of tasks and have come to expect these services to be fast, secure and easy-to-use.

Failure to meet consumer expectations can have detrimental effects on the companies providing these services, adding pressure to IT teams tasked with delivering on customer satisfaction. In fact, the report reveals that the inability to manage the pressures associated with management of digital services was rated the number one side-effect of fair or poor work-life balance across regions.

94.5 percent of survey respondents believe 24/7 management of digital services results in decreased productivity

The survey also indicated that 94.5 percent of survey respondents believe 24/7 management of digital services results in decreased productivity, making it difficult to provide consistently reliable services.

For some, the burden of the always-on digital lifestyle goes much further than a decrease in productivity. The survey revealed 51.6 percent of respondents in the US stated that being on-call affects their ability to maintain overall health and wellness. When asked how being responsible for digital services impacts members of their family, 25 percent of IT professionals said that it makes their job unmanageable at times.

Visibility Matters

Not only does poor operations health management affect IT professionals and their families, it can have a significant business impact. More than half (52 percent) of IT professionals across the US, Australia and UK reported that their organizations spend between $250,000 and $500,000 on DevOps/ITOps tools to help maintain critical digital services.

In addition to these costs, organizations may face a hefty price tag associated with employee turnover if poor work-life balance isn't rectified. In fact, nearly a quarter (23.1 percent) of survey respondents reported that they would be more likely to search for a new job due to poor work-life balance.

58.9 percent of IT managers don't have the visibility necessary to know when their teams experience a difficult on-call period

Worryingly, the report went on to reveal that 58.9 percent of IT managers don't have the visibility necessary to know when their teams experience a difficult on-call period. Without this visibility, managers are unable to take the necessary actions to course-correct for future on-call periods, potentially impacting an IT professional's overall perception of their work-life balance. Of the respondents who said their managers have slight to no visibility into difficult on-call periods, nearly 1 in 5 (18.1 percent) rated their work-life balance as fair to poor.

The Global Work-Life Imbalance

The survey also showed that while the majority (84.1) of all IT professionals rate their work-life balance as good, very good or excellent, of this 84.1 percent, more than half (56.7 percent) believe that poor work-life balance is just part of the job. Additionally, 40.4 percent agree their work-life balance isn't the greatest but they deal with it anyway.

The responsibility associated with keeping critical digital services healthy is stressful. As result, on-call IT personnel are at high risk for experiencing poor work-life balance, resulting in costly company turnover and lessened productivity. Luckily, there is an alternative. IT teams now have the ability to leverage tools, services, processes and best practices to gain better visibility into difficult on-call periods. These tools statistically measure the impact of incident response on human behavior and can help to reduce the burden of alert fatigue.

The Latest

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...

Enterprise IT environments have never been more observable ... Yet many organizations still grapple with outages, lengthy incident resolution cycles, and increasing complexity. Most teams do not suffer from a shortage of data. They struggle to determine what deserves attention and what action to take next ... Enterprise IT operations must move beyond monitoring and visibility. The next stage of maturity is decision operations, an approach that helps teams make faster, better-informed decisions ...