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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."

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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."

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The Latest

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 ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...