Skip to main content

Data Center Outages Becoming Less Frequent

The prevention of data center outages continues to be a strategic priority for data center owners and operators. Infrastructure equipment has improved, but the complexity of modern architectures and evolving external threats presents new risks that operators must actively manage, according to the Data Center Outage Analysis 2025 from Uptime Institute.

For the fourth consecutive year, Uptime Intelligence Research suggests that overall outage frequency and the general level of reported severity continue to decline. However, cybersecurity incidents are on the rise and often have severe, lasting impacts.

"Outages overall have slowed down," said Andy Lawrence, founding member and executive director, Uptime Intelligence. "Data center operators are facing a growing number of external risks beyond their control, including power grid constraints, extreme weather, network provider failures and third-party software issues. And despite a more volatile risk landscape, improvements are occurring."

Key findings include:

Less Outages

Outages are becoming less frequent and less severe relative to the rapid growth of digital infrastructure. This trend has held for several years, underscoring industry progress in risk management and reliability.

For the third consecutive year, the financial sector saw a decline in outage frequency compared with the long-term average since 2020. This improvement may reflect the impact of stricter regulations and heightened oversight following several major, high-profile outages prior to 2021.

For 2024, outages attributed to digital service providers increased, while those from cloud/internet giants declined, possibly due to hyperscalers' investments in distributed resiliency and regional failover.

Power Remains Leading Outage Cause

Power remains the leading cause of impactful outages. Outages from IT and networking issues increased in 2024, totaling 23% of impactful outages. This trend reflects the long-term move toward colocation providers, cloud, and other third-party services. While outsourcing may reduce the risk for some enterprises, major failures still occur, sometimes with serious consequences. This rise is likely caused by increased IT and network complexity, leading to issues with change management and misconfigurations.

Software-Based and Distributed Resiliency Tools Expanding

Software-based and distributed resiliency tools are expanding. These systems improve uptime but can also introduce new risks and complexities. The use of software-based resiliency strategies alongside physical failover/redundancy is undoubtedly contributing to overall improvements in availability. However, the added complexity brings its own challenges and can blur lines of responsibility for failures, complicating root cause analysis and outage classification.

Pace of Transformation Accelerating

The pace of industry transformation is accelerating. Soaring demand for AI is straining existing infrastructure designs — especially around power and cooling — while electricity grid limitations and global trade tensions introduce new uncertainty in supply chains and expansion plans. Together, these pressures could eventually affect the stability of current reliability trends.

Outages from Human Error Increasing

For 2025, the proportion of human error-related outages caused by failure to follow procedures rose by ten percentage points compared with 2024. The failure of staff to follow procedures has become an even greater cause of outages than in the previous year, suggesting a major opportunity to reduce incidents through training and process review. The overwhelming majority of human error-related outages involve ignored or inadequate procedures.

Nearly 40% of organizations have suffered a major outage caused by human error over the past three years. Of these incidents, 85% stem from staff failing to follow procedures or from flaws in the processes and procedures themselves. The reason for this rise is unclear but may be a consequence of the rapid growth of industry and the resulting staff shortages in many regions.

While improving documentation and processes remains important, greater focus on staff training and real-time operational support may reduce risks more effectively.

The Latest

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

Data Center Outages Becoming Less Frequent

The prevention of data center outages continues to be a strategic priority for data center owners and operators. Infrastructure equipment has improved, but the complexity of modern architectures and evolving external threats presents new risks that operators must actively manage, according to the Data Center Outage Analysis 2025 from Uptime Institute.

For the fourth consecutive year, Uptime Intelligence Research suggests that overall outage frequency and the general level of reported severity continue to decline. However, cybersecurity incidents are on the rise and often have severe, lasting impacts.

"Outages overall have slowed down," said Andy Lawrence, founding member and executive director, Uptime Intelligence. "Data center operators are facing a growing number of external risks beyond their control, including power grid constraints, extreme weather, network provider failures and third-party software issues. And despite a more volatile risk landscape, improvements are occurring."

Key findings include:

Less Outages

Outages are becoming less frequent and less severe relative to the rapid growth of digital infrastructure. This trend has held for several years, underscoring industry progress in risk management and reliability.

For the third consecutive year, the financial sector saw a decline in outage frequency compared with the long-term average since 2020. This improvement may reflect the impact of stricter regulations and heightened oversight following several major, high-profile outages prior to 2021.

For 2024, outages attributed to digital service providers increased, while those from cloud/internet giants declined, possibly due to hyperscalers' investments in distributed resiliency and regional failover.

Power Remains Leading Outage Cause

Power remains the leading cause of impactful outages. Outages from IT and networking issues increased in 2024, totaling 23% of impactful outages. This trend reflects the long-term move toward colocation providers, cloud, and other third-party services. While outsourcing may reduce the risk for some enterprises, major failures still occur, sometimes with serious consequences. This rise is likely caused by increased IT and network complexity, leading to issues with change management and misconfigurations.

Software-Based and Distributed Resiliency Tools Expanding

Software-based and distributed resiliency tools are expanding. These systems improve uptime but can also introduce new risks and complexities. The use of software-based resiliency strategies alongside physical failover/redundancy is undoubtedly contributing to overall improvements in availability. However, the added complexity brings its own challenges and can blur lines of responsibility for failures, complicating root cause analysis and outage classification.

Pace of Transformation Accelerating

The pace of industry transformation is accelerating. Soaring demand for AI is straining existing infrastructure designs — especially around power and cooling — while electricity grid limitations and global trade tensions introduce new uncertainty in supply chains and expansion plans. Together, these pressures could eventually affect the stability of current reliability trends.

Outages from Human Error Increasing

For 2025, the proportion of human error-related outages caused by failure to follow procedures rose by ten percentage points compared with 2024. The failure of staff to follow procedures has become an even greater cause of outages than in the previous year, suggesting a major opportunity to reduce incidents through training and process review. The overwhelming majority of human error-related outages involve ignored or inadequate procedures.

Nearly 40% of organizations have suffered a major outage caused by human error over the past three years. Of these incidents, 85% stem from staff failing to follow procedures or from flaws in the processes and procedures themselves. The reason for this rise is unclear but may be a consequence of the rapid growth of industry and the resulting staff shortages in many regions.

While improving documentation and processes remains important, greater focus on staff training and real-time operational support may reduce risks more effectively.

The Latest

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...