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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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...