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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

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 ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...

Enterprise IT environments have never been more observable ... Yet many organizations still grapple with outages, lengthy incident resolution cycles, and increasing complexity. Most teams do not suffer from a shortage of data. They struggle to determine what deserves attention and what action to take next ... Enterprise IT operations must move beyond monitoring and visibility. The next stage of maturity is decision operations, an approach that helps teams make faster, better-informed decisions ...

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

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 ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...

Enterprise IT environments have never been more observable ... Yet many organizations still grapple with outages, lengthy incident resolution cycles, and increasing complexity. Most teams do not suffer from a shortage of data. They struggle to determine what deserves attention and what action to take next ... Enterprise IT operations must move beyond monitoring and visibility. The next stage of maturity is decision operations, an approach that helps teams make faster, better-informed decisions ...