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Here's What It Takes to Be an Elite IT Leader in 2022

Gregg Ostrowski
AppDynamics

With hybrid work now a permanent part of the employee experience, the role of IT has taken center stage. For many organizations, business continuity relies even more on having the right technology and systems in place to support increasingly distributed teams and customers.

In 2018 AppDynamics began following the evolution of IT professionals to better understand the skills and qualities essential to thrive against a backdrop of significant change. At the time, our research uncovered the increasingly important role of what we called Agents of Transformation. These individuals were identified as elite technologists who possessed the skills, vision, and passion to drive positive and sustainable transformation, and who had a strong desire to create a positive legacy within their organizations.

Four years after that inaugural study, our latest research suggests that the pace of IT change has accelerated even further. The speed of innovation, an even more fragmented and dynamic IT environment, and the realities of the pandemic are creating new pressures for global IT teams.

Fortunately, more IT leaders are rising to meet the need. Our research revealed that many technologists are now at the peak of the IT profession, with the number of Digital Pioneers increasing by more than 50%. We see these IT leaders as "Agents of Transformation in waiting." They already possess many of the skills and attributes needed to take the next step and will be well-positioned to capitalize on their organization's proactive approach to innovation.

The research uncovered some less encouraging findings, however: the number of actual Agents of Transformation has barely changed over the last four years, climbing by one point to 10%.

We see a pattern which is while the number of Digital Pioneers has increased, the number of Agents of Transformation has not. In terms of what's standing in their way, we believe there are three main factors.

First, Digital Pioneers must embrace new skills and approaches to IT. What it takes to operate at the highest level of this profession has evolved in significant ways over the past four years. As IT becomes more strategic, IT leaders have to become more outcome-oriented, using real-time data and insights to optimize digital experience and link IT performance to business outcomes. Strengthening their skillsets is particularly important when implementing cloud-native technologies, which require radically different ways of working.

Second, Agents of Transformation must be more strategic and collaborative. This is especially true after the past two years, which have been defined by constant firefighting. To truly affect organizational change, IT leaders must take a more proactive approach to innovation, influencing and working alongside others to create environments where employees can thrive and reach their potential.

Third, Digital Pioneers need tools that can help them quickly cut through complexity and prioritize actions based on business needs to meet heightened customer and employee expectations, so they all have effective digital experiences.

We've found that 93% of technologists say that in order to operate as an elite technologist they now need to be able to monitor and observe all technical areas across their IT stack and directly link technology performance to business outcomes.

Given the extent of skills and resources required to become an elite technologist have evolved, it's not surprising that 66% of technologists now feel that becoming an Agent of Transformation is now more difficult.

Fortunately, technologists are both determined to meet the challenge in front of them and recognize the importance of doing so. 88% believe that the pandemic has only accelerated the need for more technologists to become Agents of Transformation — and they point to dire consequences for organizations that fail to attract and develop enough elite technologists.

Overall, there is a strong sense of positivity amongst technologists in all industries, as their organizations finally emerge from the challenges of the last two years and look ahead to the future. Now they're ready to capitalize on the momentum and credibility they have built up and forge ahead into the next era of innovation.

Gregg Ostrowski is CTO Advisor at Cisco AppDynamics

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 ...

Here's What It Takes to Be an Elite IT Leader in 2022

Gregg Ostrowski
AppDynamics

With hybrid work now a permanent part of the employee experience, the role of IT has taken center stage. For many organizations, business continuity relies even more on having the right technology and systems in place to support increasingly distributed teams and customers.

In 2018 AppDynamics began following the evolution of IT professionals to better understand the skills and qualities essential to thrive against a backdrop of significant change. At the time, our research uncovered the increasingly important role of what we called Agents of Transformation. These individuals were identified as elite technologists who possessed the skills, vision, and passion to drive positive and sustainable transformation, and who had a strong desire to create a positive legacy within their organizations.

Four years after that inaugural study, our latest research suggests that the pace of IT change has accelerated even further. The speed of innovation, an even more fragmented and dynamic IT environment, and the realities of the pandemic are creating new pressures for global IT teams.

Fortunately, more IT leaders are rising to meet the need. Our research revealed that many technologists are now at the peak of the IT profession, with the number of Digital Pioneers increasing by more than 50%. We see these IT leaders as "Agents of Transformation in waiting." They already possess many of the skills and attributes needed to take the next step and will be well-positioned to capitalize on their organization's proactive approach to innovation.

The research uncovered some less encouraging findings, however: the number of actual Agents of Transformation has barely changed over the last four years, climbing by one point to 10%.

We see a pattern which is while the number of Digital Pioneers has increased, the number of Agents of Transformation has not. In terms of what's standing in their way, we believe there are three main factors.

First, Digital Pioneers must embrace new skills and approaches to IT. What it takes to operate at the highest level of this profession has evolved in significant ways over the past four years. As IT becomes more strategic, IT leaders have to become more outcome-oriented, using real-time data and insights to optimize digital experience and link IT performance to business outcomes. Strengthening their skillsets is particularly important when implementing cloud-native technologies, which require radically different ways of working.

Second, Agents of Transformation must be more strategic and collaborative. This is especially true after the past two years, which have been defined by constant firefighting. To truly affect organizational change, IT leaders must take a more proactive approach to innovation, influencing and working alongside others to create environments where employees can thrive and reach their potential.

Third, Digital Pioneers need tools that can help them quickly cut through complexity and prioritize actions based on business needs to meet heightened customer and employee expectations, so they all have effective digital experiences.

We've found that 93% of technologists say that in order to operate as an elite technologist they now need to be able to monitor and observe all technical areas across their IT stack and directly link technology performance to business outcomes.

Given the extent of skills and resources required to become an elite technologist have evolved, it's not surprising that 66% of technologists now feel that becoming an Agent of Transformation is now more difficult.

Fortunately, technologists are both determined to meet the challenge in front of them and recognize the importance of doing so. 88% believe that the pandemic has only accelerated the need for more technologists to become Agents of Transformation — and they point to dire consequences for organizations that fail to attract and develop enough elite technologists.

Overall, there is a strong sense of positivity amongst technologists in all industries, as their organizations finally emerge from the challenges of the last two years and look ahead to the future. Now they're ready to capitalize on the momentum and credibility they have built up and forge ahead into the next era of innovation.

Gregg Ostrowski is CTO Advisor at Cisco AppDynamics

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 ...