Skip to main content

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

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

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

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...