Skip to main content

Top Performing Organizations in Managing IT Ops Experience 5.9x Shorter MTTR

Pete Goldin
APMdigest

Top performing organizations (TPOs) in managing IT Operations are experiencing significant operational and business benefits such as 5.9x shorter average Mean Time to Resolution (MTTR) per incident as compared to all other organizations, according to The Roadmap to Becoming a Top Performing Organization in Managing IT Operations, a new market study from Digital Enterprise Journal (DEJ).

In addition, the DEJ finds that TPOs experience 5.1x faster new application releases, and are 66% less likely to experience revenue impacting performance incidents.

With TPOs, 79% of performance issues are proactively detected, compared with 39% for all other organizations.

Overall, DEJ's research shows that the role of IT Operations in the business has to be better defined, as 52% of Line-of-Business (LoB) managers reported that the impact of IT Operations on business goals has to be more clear, while 74% of organizations are not able to quantify the benefits that IT Operations is delivering to the business.

Additional report highlights:

■ $2.129 million is average estimated revenue loss, per month, due to performance related slowdowns in application release times.

■ 66% of organizations reported that their visibility into IT performance declined after deploying cloud services.

■ 71% of organizations reported that the performance metrics that IT Operations are using do not reflect true user experience.

■ TPOs are 2.1 times more likely to have an automated process for turning alerts into actionable events and 2.3 times more likely to have capabilities for automated root cause analysis.

The study reveals that organizations able to outperform their peers by a significant margin are building their IT Operations strategies around:

1. context of the monitoring data

2. AI-enabled capabilities

3. customer-centric approach for managing IT

4. data-driven automation

5. centralized, platform-based approach for managing IT Operations

"The market for managing IT Operations is changing at a very fast pace and the speed of change is accelerating every year. That is driven by both internal and internal factors. Internally, IT Operations teams are dealing with increasing expectation to contribute to the business, deployment of new technologies to be managed and amount and velocity of data to be processed and used in an actionable context. Externally, they are pressured to meet higher customer expectations for engagement and experience and increased expectations to leverage technology as a source of competitive advantage," states Bojan Simic, President and Chief Analyst of Digital Enterprise Journal. "Top Performing Organizations (TPO) are modernizing IT Operations to contribute to top goals of digital businesses and their IT strategies are built on the same key pillars that are used by digital transformation leaders."

The study was based on insights from more than 900 organizations and is produced by using DEJ's unique approach for ongoing data collection and analysis.

Pete Goldin is Editor and Publisher of APMdigest

Hot Topics

The Latest

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 ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Top Performing Organizations in Managing IT Ops Experience 5.9x Shorter MTTR

Pete Goldin
APMdigest

Top performing organizations (TPOs) in managing IT Operations are experiencing significant operational and business benefits such as 5.9x shorter average Mean Time to Resolution (MTTR) per incident as compared to all other organizations, according to The Roadmap to Becoming a Top Performing Organization in Managing IT Operations, a new market study from Digital Enterprise Journal (DEJ).

In addition, the DEJ finds that TPOs experience 5.1x faster new application releases, and are 66% less likely to experience revenue impacting performance incidents.

With TPOs, 79% of performance issues are proactively detected, compared with 39% for all other organizations.

Overall, DEJ's research shows that the role of IT Operations in the business has to be better defined, as 52% of Line-of-Business (LoB) managers reported that the impact of IT Operations on business goals has to be more clear, while 74% of organizations are not able to quantify the benefits that IT Operations is delivering to the business.

Additional report highlights:

■ $2.129 million is average estimated revenue loss, per month, due to performance related slowdowns in application release times.

■ 66% of organizations reported that their visibility into IT performance declined after deploying cloud services.

■ 71% of organizations reported that the performance metrics that IT Operations are using do not reflect true user experience.

■ TPOs are 2.1 times more likely to have an automated process for turning alerts into actionable events and 2.3 times more likely to have capabilities for automated root cause analysis.

The study reveals that organizations able to outperform their peers by a significant margin are building their IT Operations strategies around:

1. context of the monitoring data

2. AI-enabled capabilities

3. customer-centric approach for managing IT

4. data-driven automation

5. centralized, platform-based approach for managing IT Operations

"The market for managing IT Operations is changing at a very fast pace and the speed of change is accelerating every year. That is driven by both internal and internal factors. Internally, IT Operations teams are dealing with increasing expectation to contribute to the business, deployment of new technologies to be managed and amount and velocity of data to be processed and used in an actionable context. Externally, they are pressured to meet higher customer expectations for engagement and experience and increased expectations to leverage technology as a source of competitive advantage," states Bojan Simic, President and Chief Analyst of Digital Enterprise Journal. "Top Performing Organizations (TPO) are modernizing IT Operations to contribute to top goals of digital businesses and their IT strategies are built on the same key pillars that are used by digital transformation leaders."

The study was based on insights from more than 900 organizations and is produced by using DEJ's unique approach for ongoing data collection and analysis.

Pete Goldin is Editor and Publisher of APMdigest

Hot Topics

The Latest

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 ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...