Skip to main content

ITOps and DevOps Spending 10 Extra Hours Per Week Resolving Incidents During Pandemic

More than 80% of organizations have experienced a significant increase in pressure on digital services since the start of the COVID-19 pandemic, according to a survey by PagerDuty.

These same companies cited a 47% increase in the number of daily incidents, resulting in 62% of IT and DevOps practitioners spending more than 10 extra hours per week resolving incidents, compared to six months ago.

The global survey, which involved more than 700 DevOps and IT practitioners across North America, EMEA and APJ, also shows that 40% of organizations expect this digital pressure to get worse in the next six to 12 months.

"The pandemic has irreversibly changed the way we live, work, communicate, learn and shop. We now exist in a digital default world and the stakes are high. Downtime can mean millions in lost revenue and keeping digital services running perfectly is a complex job," said Rachel Obstler, VP of Product at PagerDuty. "This research underscores the fact that every company is facing the challenge of accelerating their digital transformation to keep pace with customer expectations and needs, while grappling with increased digital complexity and strain. It also candidly points to the human cost of this dramatic change — an immense strain on the practitioners charged with keeping digital services running which can lead to massive burnout."

Since the pandemic began, 55% of respondents divulged that they are asked to resolve incidents during their personal time five or more times a week, and 39% say they are firefighting or focused on unplanned work 100% of the time, which leaves no room for proactive, innovative work.

As a result, organizations have had to cancel or delay an average of 7.6 projects in the last three to six months.

Other survey highlights include:

■ The top reason respondents stay at their jobs is because of the teams and the camaraderie in DevOps/IT (71%).

■ 58% said they are grateful for the opportunity to play an integral role in the digital economy.

■ 53% said the pressure to keep digital services running perfectly has reached unprecedented levels in the last 3-6 months.

■ 46% feel overwhelmed when thinking about the next 12 months and feel the volume of work in the future will be significant.

■ 79% believe digital acceleration has to be their company's number one priority in 2021.

■ 51% cite intelligent data and insights that help prioritize where to spend time are critical.

■ 64% believe automation that removes manual processes will be critical to do more with less and meet increased demand on digital services.

■ 69% believe smart integrations are critical to doing their job better.

"As organizations strive to capitalize on the new norm of digital first, they must modernize and automate how they manage their digital operations, because the old approach doesn't work anymore. You need AI and machine learning, and automation, in order to remove complexity and be proactive and predictive," Obstler continued. "Any company that fails to mature their approach, compromises customer experience, employee health, critical projects and risks significantly impacting cost structure."

Hot Topics

The Latest

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 ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...

ITOps and DevOps Spending 10 Extra Hours Per Week Resolving Incidents During Pandemic

More than 80% of organizations have experienced a significant increase in pressure on digital services since the start of the COVID-19 pandemic, according to a survey by PagerDuty.

These same companies cited a 47% increase in the number of daily incidents, resulting in 62% of IT and DevOps practitioners spending more than 10 extra hours per week resolving incidents, compared to six months ago.

The global survey, which involved more than 700 DevOps and IT practitioners across North America, EMEA and APJ, also shows that 40% of organizations expect this digital pressure to get worse in the next six to 12 months.

"The pandemic has irreversibly changed the way we live, work, communicate, learn and shop. We now exist in a digital default world and the stakes are high. Downtime can mean millions in lost revenue and keeping digital services running perfectly is a complex job," said Rachel Obstler, VP of Product at PagerDuty. "This research underscores the fact that every company is facing the challenge of accelerating their digital transformation to keep pace with customer expectations and needs, while grappling with increased digital complexity and strain. It also candidly points to the human cost of this dramatic change — an immense strain on the practitioners charged with keeping digital services running which can lead to massive burnout."

Since the pandemic began, 55% of respondents divulged that they are asked to resolve incidents during their personal time five or more times a week, and 39% say they are firefighting or focused on unplanned work 100% of the time, which leaves no room for proactive, innovative work.

As a result, organizations have had to cancel or delay an average of 7.6 projects in the last three to six months.

Other survey highlights include:

■ The top reason respondents stay at their jobs is because of the teams and the camaraderie in DevOps/IT (71%).

■ 58% said they are grateful for the opportunity to play an integral role in the digital economy.

■ 53% said the pressure to keep digital services running perfectly has reached unprecedented levels in the last 3-6 months.

■ 46% feel overwhelmed when thinking about the next 12 months and feel the volume of work in the future will be significant.

■ 79% believe digital acceleration has to be their company's number one priority in 2021.

■ 51% cite intelligent data and insights that help prioritize where to spend time are critical.

■ 64% believe automation that removes manual processes will be critical to do more with less and meet increased demand on digital services.

■ 69% believe smart integrations are critical to doing their job better.

"As organizations strive to capitalize on the new norm of digital first, they must modernize and automate how they manage their digital operations, because the old approach doesn't work anymore. You need AI and machine learning, and automation, in order to remove complexity and be proactive and predictive," Obstler continued. "Any company that fails to mature their approach, compromises customer experience, employee health, critical projects and risks significantly impacting cost structure."

Hot Topics

The Latest

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 ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...