Skip to main content

Frequency and Severity of Data Center Outages Not Improving in 2024

The frequency and severity of data center outages remain mainly unchanged from 2023 or show small improvements, according to the Global Data Center Survey from Uptime Institute.

"The need for resiliency is well understood by all data center operators and across the supply chain. Although advances in IT, and software-based distributed resiliency, have offered the potential for operators to de-emphasize site-level resiliency, this has not happened. The need to avoid outages at a site level and maintain IT service, despite the high cost, remains a critical issue for operators in 2024," the report executive summary states.

"Uptime expects distributed resiliency strategies to play an increasingly important role in mitigating the effects of outages in the coming years. With further investments in cloud-style application architecture and software-based approaches, these approaches will improve over time."

Uptime also suggest that resiliency can benefit from improved training, processes and greater management attention on the importance of availability. The survey found that 80& of data center operators believe their most recent significant downtime incidents would have been preventable with better management, processes, or configuration.

"This data highlights the need for more testing and training, and a continued re-examination of existing systems and processes. There is also an opportunity to learn from the experience of previous outages, and from the industry’s progress in adapting to an expanding risk landscape," the report adds.

Other key findings from the 2024 report include:

■ Enterprises continue to meet their IT needs with hybrid architectures. More than one half of workloads (55%) are now off-premises, continuing the gradual trend of recent years, and survey respondents expect that number to increase even more through 2026. Meanwhile, many continue to maintain their own data centers.

■ Most operators recognize the benefits of AI and its potential. But despite many operators planning to host the technology, trust in AI for use in data center operations has declined for the third year in a row.

■ Average server rack densities are increasing but remain below 8 kilowatts (kW). Most facilities do not have racks above 30kW, and those that do have only a few. This is expected to change in coming years.

■ Average PUE levels remain mostly flat for the fifth consecutive year, but this conceals advances in newer, larger facilities.

■ Staffing challenges have neither improved nor worsened from 2023. More effort is needed to expand labor pools and skillsets to match the pace of capacity growth.

■ Fewer than one half of data center owners and operators are tracking the metrics needed to assess their sustainability and/or meet pending regulatory requirements.

"Our data shows operators poised for major changes ahead on multiple levels," said Andy Lawrence, Executive Director of Research, Uptime Intelligence. "In 2024, we see the challenges of increased demand impacting power and cooling capabilities of existing facilities and the need for further investment to keep up with the demand. At the same time the industry needs to focus on continued staffing challenges to match capacity growth. And regulatory requirements are here and cannot be dismissed."

Methodology: Uptime conducted this year’s annual Global Data Center Survey online and by email in the first half of 2024. The survey participants represent a wide range of industry verticals in multiple countries. Responses were collected from a total of 879 end users registered for the survey and answered at least one question. More than one half are located in North America and Europe. Approximately one third of respondents work for professional IT/data center service providers (staff with operational or executive responsibilities for a third-party data center), such as those offering colocation, wholesale, software or cloud computing services.

Hot Topics

The Latest

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

Frequency and Severity of Data Center Outages Not Improving in 2024

The frequency and severity of data center outages remain mainly unchanged from 2023 or show small improvements, according to the Global Data Center Survey from Uptime Institute.

"The need for resiliency is well understood by all data center operators and across the supply chain. Although advances in IT, and software-based distributed resiliency, have offered the potential for operators to de-emphasize site-level resiliency, this has not happened. The need to avoid outages at a site level and maintain IT service, despite the high cost, remains a critical issue for operators in 2024," the report executive summary states.

"Uptime expects distributed resiliency strategies to play an increasingly important role in mitigating the effects of outages in the coming years. With further investments in cloud-style application architecture and software-based approaches, these approaches will improve over time."

Uptime also suggest that resiliency can benefit from improved training, processes and greater management attention on the importance of availability. The survey found that 80& of data center operators believe their most recent significant downtime incidents would have been preventable with better management, processes, or configuration.

"This data highlights the need for more testing and training, and a continued re-examination of existing systems and processes. There is also an opportunity to learn from the experience of previous outages, and from the industry’s progress in adapting to an expanding risk landscape," the report adds.

Other key findings from the 2024 report include:

■ Enterprises continue to meet their IT needs with hybrid architectures. More than one half of workloads (55%) are now off-premises, continuing the gradual trend of recent years, and survey respondents expect that number to increase even more through 2026. Meanwhile, many continue to maintain their own data centers.

■ Most operators recognize the benefits of AI and its potential. But despite many operators planning to host the technology, trust in AI for use in data center operations has declined for the third year in a row.

■ Average server rack densities are increasing but remain below 8 kilowatts (kW). Most facilities do not have racks above 30kW, and those that do have only a few. This is expected to change in coming years.

■ Average PUE levels remain mostly flat for the fifth consecutive year, but this conceals advances in newer, larger facilities.

■ Staffing challenges have neither improved nor worsened from 2023. More effort is needed to expand labor pools and skillsets to match the pace of capacity growth.

■ Fewer than one half of data center owners and operators are tracking the metrics needed to assess their sustainability and/or meet pending regulatory requirements.

"Our data shows operators poised for major changes ahead on multiple levels," said Andy Lawrence, Executive Director of Research, Uptime Intelligence. "In 2024, we see the challenges of increased demand impacting power and cooling capabilities of existing facilities and the need for further investment to keep up with the demand. At the same time the industry needs to focus on continued staffing challenges to match capacity growth. And regulatory requirements are here and cannot be dismissed."

Methodology: Uptime conducted this year’s annual Global Data Center Survey online and by email in the first half of 2024. The survey participants represent a wide range of industry verticals in multiple countries. Responses were collected from a total of 879 end users registered for the survey and answered at least one question. More than one half are located in North America and Europe. Approximately one third of respondents work for professional IT/data center service providers (staff with operational or executive responsibilities for a third-party data center), such as those offering colocation, wholesale, software or cloud computing services.

Hot Topics

The Latest

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...