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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

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 ...

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Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

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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

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 ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...