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IT Downtime Increases During Pandemic

IT downtime, which includes both brownouts and outages, has increased during the pandemic, according to a study by LogicMonitor.

In addition, the study found that previously siloed IT teams and technologies are converging as enterprises accelerate their modernization efforts in reaction to COVID-19. The responsibilities of CIOs are expanding and the roles of traditional IT operations and administration teams are moving closer and closer to those of agile application developers and quality and security engineers as business priorities shift to align with the customer and their digital experience.

The study findings include:

■ 79% of global CIOs and CTOs feel that their input and importance within the boardroom has increased in the last 12 months (86% of CIOs/CTOs based in North America feel that way; 78% based in EMEA; 74% based in APAC).

■ The vast majority of global enterprises (93%) have seen some level of convergence between traditional IT operations and administration teams and development teams in the last 12 months.

■ 94% of those respondents credit the 2020 COVID-19 pandemic with accelerating this convergence.

■ 21% of global IT leaders believe that improved security will be the top benefit resulting from convergence between ITOps and DevOps; followed by greater ability to scale (16%); better cross-org collaboration/alignment (14%); reduction in outages/brownouts (12%); and better customer experience (11%).

"One of the key benefits of the convergence between ITOps and DevOps is that such a synergy makes it increasingly feasible to achieve true unified IT observability within modern enterprises," said Christina Kosmowski, President of LogicMonitor. "As our research shows, observability is all about gaining full visibility into the health, performance and availability of an organization’s IT stack. Companies who achieve unified observability will find it far easier to complete their digital transformation initiatives and succeed in today’s digital economy ...”

Enterprises Prioritize Data Security, Cloud and IT Automation in Today's Era of Remote Work

Many IT leaders are changing the way they invest in various IT initiatives as digital transformation accelerates due to COVID-19 and the rise of remote work.

■ In 2020, 73% of global IT leaders substantially increased their investments in data security; 71% substantially increased their investments in cloud technologies and services, and 68% substantially increased their investments in IT automation.

■ In 2020, 17% of global enterprises decreased their investments in on-premises technologies.

■ 11% of global enterprises say that expanding use of the cloud is their number one priority in 2021.

■ 75% of global IT leaders plan to increase investment in both data security and cloud technologies and services in the next 12-24 months; 71% of global IT leaders plan to increase investment in IT automation in the next 12-24 months.

IT Outages and Brownouts Remain Widespread

One negative IT trend that global businesses continue to experience at alarming rates — despite the severe negative business impact — is IT downtime, which includes both brownouts and outages. Global IT leaders identify remote work, the Internet of Things (IoT) and migration to the cloud as the top three trends contributing to widespread downtime, although respondents based in EMEA mention mobile computing as a key contributor, and respondents in APAC mention edge computing as a key contributor.


■ In the past three years, 97% of global IT leaders said their organization had experienced an IT brownout; 94% said their organization had experienced an outage.

■ 51% of IT leaders said they had seen an increase in IT downtime as a result of the pandemic since March 2020.

■ Respondents in North America were more likely to see an increase in downtime since the pandemic began (57%), compared to Europe (50%) and APAC (48%).

■ 7% of IT leaders admit to experiencing 50 or more brownouts and 50 or more outages in the last three years.

■ Enterprises experience an average of 15 IT outages every 3 years and 19 brownouts.

■ Lost productivity tops the list as the most negative impact IT leaders have experienced as a result of IT brownouts (66%) and outages (61%), followed by lost revenue (43% for brownouts and 42% for outages) and damage to brand/reputation (31% for brownouts and 32% for outages).

■ 16% of IT leaders say their organization was shut down permanently as a result of IT outages during the past three years.

As the world continues the rapid pace of digital transformation — made even more imperative by the ongoing pandemic — organizations cannot afford to experience downtime. By embracing the technologies that provide them with full observability into their IT infrastructure, organizations can mitigate the risk of downtime and quickly resolve issues when they do occur.

The Latest

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

IT Downtime Increases During Pandemic

IT downtime, which includes both brownouts and outages, has increased during the pandemic, according to a study by LogicMonitor.

In addition, the study found that previously siloed IT teams and technologies are converging as enterprises accelerate their modernization efforts in reaction to COVID-19. The responsibilities of CIOs are expanding and the roles of traditional IT operations and administration teams are moving closer and closer to those of agile application developers and quality and security engineers as business priorities shift to align with the customer and their digital experience.

The study findings include:

■ 79% of global CIOs and CTOs feel that their input and importance within the boardroom has increased in the last 12 months (86% of CIOs/CTOs based in North America feel that way; 78% based in EMEA; 74% based in APAC).

■ The vast majority of global enterprises (93%) have seen some level of convergence between traditional IT operations and administration teams and development teams in the last 12 months.

■ 94% of those respondents credit the 2020 COVID-19 pandemic with accelerating this convergence.

■ 21% of global IT leaders believe that improved security will be the top benefit resulting from convergence between ITOps and DevOps; followed by greater ability to scale (16%); better cross-org collaboration/alignment (14%); reduction in outages/brownouts (12%); and better customer experience (11%).

"One of the key benefits of the convergence between ITOps and DevOps is that such a synergy makes it increasingly feasible to achieve true unified IT observability within modern enterprises," said Christina Kosmowski, President of LogicMonitor. "As our research shows, observability is all about gaining full visibility into the health, performance and availability of an organization’s IT stack. Companies who achieve unified observability will find it far easier to complete their digital transformation initiatives and succeed in today’s digital economy ...”

Enterprises Prioritize Data Security, Cloud and IT Automation in Today's Era of Remote Work

Many IT leaders are changing the way they invest in various IT initiatives as digital transformation accelerates due to COVID-19 and the rise of remote work.

■ In 2020, 73% of global IT leaders substantially increased their investments in data security; 71% substantially increased their investments in cloud technologies and services, and 68% substantially increased their investments in IT automation.

■ In 2020, 17% of global enterprises decreased their investments in on-premises technologies.

■ 11% of global enterprises say that expanding use of the cloud is their number one priority in 2021.

■ 75% of global IT leaders plan to increase investment in both data security and cloud technologies and services in the next 12-24 months; 71% of global IT leaders plan to increase investment in IT automation in the next 12-24 months.

IT Outages and Brownouts Remain Widespread

One negative IT trend that global businesses continue to experience at alarming rates — despite the severe negative business impact — is IT downtime, which includes both brownouts and outages. Global IT leaders identify remote work, the Internet of Things (IoT) and migration to the cloud as the top three trends contributing to widespread downtime, although respondents based in EMEA mention mobile computing as a key contributor, and respondents in APAC mention edge computing as a key contributor.


■ In the past three years, 97% of global IT leaders said their organization had experienced an IT brownout; 94% said their organization had experienced an outage.

■ 51% of IT leaders said they had seen an increase in IT downtime as a result of the pandemic since March 2020.

■ Respondents in North America were more likely to see an increase in downtime since the pandemic began (57%), compared to Europe (50%) and APAC (48%).

■ 7% of IT leaders admit to experiencing 50 or more brownouts and 50 or more outages in the last three years.

■ Enterprises experience an average of 15 IT outages every 3 years and 19 brownouts.

■ Lost productivity tops the list as the most negative impact IT leaders have experienced as a result of IT brownouts (66%) and outages (61%), followed by lost revenue (43% for brownouts and 42% for outages) and damage to brand/reputation (31% for brownouts and 32% for outages).

■ 16% of IT leaders say their organization was shut down permanently as a result of IT outages during the past three years.

As the world continues the rapid pace of digital transformation — made even more imperative by the ongoing pandemic — organizations cannot afford to experience downtime. By embracing the technologies that provide them with full observability into their IT infrastructure, organizations can mitigate the risk of downtime and quickly resolve issues when they do occur.

The Latest

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...