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Unlocking the Keys to Meaningful Modernization

Rebecca Dilthey
Rocket Software

It's no secret that IT modernization has become one of the most critical ways for a business to stay competitive and ahead of the curve. But even while that notion is clear, the path toward achieving modernization is not. IT leaders today are bombarded with all kinds of trends and technologies that make the task of modernizing a complex, even risky endeavor. With so many options to choose from, where do IT leaders' priorities fall?

A recent survey conducted by Rocket Software of 275 U.-based IT directors and vice presidents in companies with more than 1,000 employees set out to answer exactly that.

What's Costing IT a Good Night's Sleep?

Whether it's a major push to reduce costs, drive results or overhaul the customer experience, the IT leaders in charge of modernization initiatives have all kinds of variables to consider. So, with all of those considerations weighing on IT leadership, what challenges have them losing sleep at night? Among those surveyed, 60% identified improving overall IT performance (60%), another 50% noted data security, 46% said process risk and compliance, and 41% highlighted the need to improve agility.

Of the majority who identified improving overall IT performance as a top concern, some of the biggest challenges facing their organizations ranged from IT infrastructure security to data security and even the present state of the economy.

So, we know the pain points for IT organizations, now it's time to look at what kind of action is being taken. And in spite of the many challenges, technologies, and complex factors involved with moving modernization forward, the survey found that IT leaders have a firm handle on where their priorities lie. Priorities that point back to one of the most influential strategies — hybrid cloud. Among the IT leaders surveyed, 65% said implementing a hybrid cloud strategy was a top priority. And, when asked, an overwhelming 93% of IT leaders agreed with the statement, "I believe my organization needs to embrace a hybrid infrastructure model that spans from mainframe to cloud."

Respondents also noted other priority areas that include data and content management (60%), DevOps (58%), infrastructure and application modernization (58%), automation (57%), and enterprise storage (35%).

Reducing Risk, Optimizing Resources, and Increasing Efficiency

With the emergence of new technologies and evolving approaches to IT, being able to define success is just as important as actually achieving it. IT leaders polled for the survey identified three main ways they measure, and define, success in their own organizations: Increased efficiency (71%), optimized resources (67%), and reduced risk (63%).

Mitigating Risk

Security is a major concern for every IT organization. And any approach to modernization needs to ensure that a business and its data and operations remain protected from attacks and breaches that could prove devastating. But even as risks loom large, many IT leaders feel they have a ways to go to be adequately prepared. In fact, only 33% of respondents said they were extremely confident that they have the right technology/software in place to execute an effective approach to IT risk management. Similarly, just 34% of respondents said they were extremely confident that they had the right processes in place to execute an effective approach to IT risk management.

When it comes to mitigating those risks, the most popular tools and processes IT leaders are turning to include data and systems access (63%), data availability (62%), process automation (47%), DevOps (46%), and orchestration and scheduling (33%). At a time where organizations are already under enormous pressure, IT leaders need to have the right tools and approach to security that instill confidence across processes, people, and technology.

Increasing Efficiency

No matter what position a business finds itself in, efficiency is critical for growth and long-term success. It's a reality that has only become more important in the wake of growing economic uncertainty. In fact, a majority (62%) of surveyed IT leaders reported focusing on efficiency as a result of economic instability.

As IT leadership make the push to become more efficient, there are a number of tools and processes that have gained favor in making that goal possible. Surveyed IT leaders ranked faster DevOps processes, automated processes, and increasing overall output as the top three measures that would be most impactful to increasing efficiency. Improving efficiency requires the right approach. And DevOps has seen its value rise as more organizations turn to it as a means for quickly improving the software development process.

Optimizing Resources

Between modernization initiatives and the demands of existing IT processes and workloads, IT leaders have their hands full as it is. As IT becomes more demanding, organizations are increasingly turning to automation to help lighten the load and streamline the most critical operations. But even with all the talk of automation, IT leaders still often find their teams spending valuable time dealing with manual tasks and managing and analyzing data. Of the IT leaders surveyed, 30% said they spend 6-10 hours per week on manual data entry and analysis, and 33% said they spend as much as 11-15 hours per week on these tasks.

Needing to dedicate that much time to tedious manual tasks isn't just inefficient, it also keeps IT staff away from other, more pressing responsibilities. When it comes to eliminating these manual processes, automation presents a powerful tool to help free up IT staff and ensure resources are being allocated effectively across the entire organization.

Modernization Coming Into Focus

IT leaders are faced with more decisions than ever before — hybrid cloud? Automation? DevOps? The sheer amount of choice can make charting a path forward feel overwhelming. But with the right tools, approach, and technologies IT teams can proceed with confidence and make a meaningful impact on any modernization effort.

Rebecca Dilthey is a Product Marketing Director at Rocket Software

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 ...

Unlocking the Keys to Meaningful Modernization

Rebecca Dilthey
Rocket Software

It's no secret that IT modernization has become one of the most critical ways for a business to stay competitive and ahead of the curve. But even while that notion is clear, the path toward achieving modernization is not. IT leaders today are bombarded with all kinds of trends and technologies that make the task of modernizing a complex, even risky endeavor. With so many options to choose from, where do IT leaders' priorities fall?

A recent survey conducted by Rocket Software of 275 U.-based IT directors and vice presidents in companies with more than 1,000 employees set out to answer exactly that.

What's Costing IT a Good Night's Sleep?

Whether it's a major push to reduce costs, drive results or overhaul the customer experience, the IT leaders in charge of modernization initiatives have all kinds of variables to consider. So, with all of those considerations weighing on IT leadership, what challenges have them losing sleep at night? Among those surveyed, 60% identified improving overall IT performance (60%), another 50% noted data security, 46% said process risk and compliance, and 41% highlighted the need to improve agility.

Of the majority who identified improving overall IT performance as a top concern, some of the biggest challenges facing their organizations ranged from IT infrastructure security to data security and even the present state of the economy.

So, we know the pain points for IT organizations, now it's time to look at what kind of action is being taken. And in spite of the many challenges, technologies, and complex factors involved with moving modernization forward, the survey found that IT leaders have a firm handle on where their priorities lie. Priorities that point back to one of the most influential strategies — hybrid cloud. Among the IT leaders surveyed, 65% said implementing a hybrid cloud strategy was a top priority. And, when asked, an overwhelming 93% of IT leaders agreed with the statement, "I believe my organization needs to embrace a hybrid infrastructure model that spans from mainframe to cloud."

Respondents also noted other priority areas that include data and content management (60%), DevOps (58%), infrastructure and application modernization (58%), automation (57%), and enterprise storage (35%).

Reducing Risk, Optimizing Resources, and Increasing Efficiency

With the emergence of new technologies and evolving approaches to IT, being able to define success is just as important as actually achieving it. IT leaders polled for the survey identified three main ways they measure, and define, success in their own organizations: Increased efficiency (71%), optimized resources (67%), and reduced risk (63%).

Mitigating Risk

Security is a major concern for every IT organization. And any approach to modernization needs to ensure that a business and its data and operations remain protected from attacks and breaches that could prove devastating. But even as risks loom large, many IT leaders feel they have a ways to go to be adequately prepared. In fact, only 33% of respondents said they were extremely confident that they have the right technology/software in place to execute an effective approach to IT risk management. Similarly, just 34% of respondents said they were extremely confident that they had the right processes in place to execute an effective approach to IT risk management.

When it comes to mitigating those risks, the most popular tools and processes IT leaders are turning to include data and systems access (63%), data availability (62%), process automation (47%), DevOps (46%), and orchestration and scheduling (33%). At a time where organizations are already under enormous pressure, IT leaders need to have the right tools and approach to security that instill confidence across processes, people, and technology.

Increasing Efficiency

No matter what position a business finds itself in, efficiency is critical for growth and long-term success. It's a reality that has only become more important in the wake of growing economic uncertainty. In fact, a majority (62%) of surveyed IT leaders reported focusing on efficiency as a result of economic instability.

As IT leadership make the push to become more efficient, there are a number of tools and processes that have gained favor in making that goal possible. Surveyed IT leaders ranked faster DevOps processes, automated processes, and increasing overall output as the top three measures that would be most impactful to increasing efficiency. Improving efficiency requires the right approach. And DevOps has seen its value rise as more organizations turn to it as a means for quickly improving the software development process.

Optimizing Resources

Between modernization initiatives and the demands of existing IT processes and workloads, IT leaders have their hands full as it is. As IT becomes more demanding, organizations are increasingly turning to automation to help lighten the load and streamline the most critical operations. But even with all the talk of automation, IT leaders still often find their teams spending valuable time dealing with manual tasks and managing and analyzing data. Of the IT leaders surveyed, 30% said they spend 6-10 hours per week on manual data entry and analysis, and 33% said they spend as much as 11-15 hours per week on these tasks.

Needing to dedicate that much time to tedious manual tasks isn't just inefficient, it also keeps IT staff away from other, more pressing responsibilities. When it comes to eliminating these manual processes, automation presents a powerful tool to help free up IT staff and ensure resources are being allocated effectively across the entire organization.

Modernization Coming Into Focus

IT leaders are faced with more decisions than ever before — hybrid cloud? Automation? DevOps? The sheer amount of choice can make charting a path forward feel overwhelming. But with the right tools, approach, and technologies IT teams can proceed with confidence and make a meaningful impact on any modernization effort.

Rebecca Dilthey is a Product Marketing Director at Rocket Software

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 ...