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Need A Change? Newer Isn't Necessarily Better

Rebecca Dilthey
Rocket Software

We all love new, shiny objects. When the washing machine dies, most of us don't run to an appliance store that sells used models or parts to repair your machine. You drop the money on a new one with all the bells and whistles.

Same goes for enterprise technology. When a legacy system starts to fail, our eyes tend to widen as we evaluate all the fancy toys on the market. Absolutely everything in hardware and software is about novelty — yesterday's innovation is tomorrow's doorstop.

While it doesn't appear as glamorous as the newest, most disruptive technology, often your old systems can be updated to deliver the performance your organization needs, saving your business the money and time associated with "rip and replace" projects.

During the pandemic, IT scaled back on higher risk new investments and looked at how they could invest in the systems they already had. In a post-COVID world, this trend hasn't changed, even as IT spending returns to pre-pandemic levels. Even though there is increased investment in projects to better service hybrid work environments as well as the hot new trends like hybrid cloud, organizations are realizing they can save valuable time and money by modernizing existing technology rather than throwing capital at the next big technology trend.

It's only natural that IT leaders would consider replacing systems they believe are outdated, especially if there is a perception that the systems cannot natively support a need of the business. In fact, that's often the first order of business for new CIOs when they walk into an IT organization. What often is overlooked, however, is the value of the solutions they have in place — the ones their teams are comfortable with and don't cost hundreds of thousands or even millions of dollars in a rip and replace project. Often these systems are fully capable of meeting their needs and enabling innovation and experimentation, especially if they are kept up to date.

What was that about millions of dollars?

The numbers are not insignificant. When adopting a rip and replace strategy, there are so many costs that aren't realized when initial project scoping occurs. For example, Projects this size often need full time managers, often delegated to consulting firms. Then there is the opportunity cost of employees having to devote time and effort to the project instead of their day-to-day job. And what about the huge amount of risk inherent in a re-platforming project. There are companies that have made the huge investment to replatform, only to find out at the end of the project there are some applications that are so central to how the business operates, they are in essence the hub of all operations and therefore too risky to touch. Millions of dollars and years of effort essentially for nothing.

Fans of rip and replace often counter that change needs to be made for operational reasons — but the data doesn't support it. While the product lines of many large systems are several decades old, the hardware and operating systems are updated every year. For some reason, though, that gets lost when we think of these older systems.

If you drive a Ford Focus, you know it's evolved dramatically from Ford Model T — so why is there this perception that these machines are like their ancestors?

In fact, not only do these systems offer the lower total cost of ownership and the unique security and transaction management capabilities inherent in mainframe and midrange systems, today's developers and programmers can use their favorite open-source languages and tools, new technologies like AI and ML, and more.

Additionally, there are software tools that enable non-RPG and -COBOL developers to cost-effectively create an "innovation layer" that makes it easy and efficient to modernize and automate applications and workflows running on these systems.

Businesses are coming to the realization that it's more valuable to update their existing tech stack on the heritage system — and upgrade to the latest OS — rather than turning to a rip and replace approach. After all, at the end of the day, the two main factors that matter most to IT leaders are: does my infrastructure and the tools I deliver to the business support the business strategy and goals; and can I ensure that support of the business in a cost-effective way. If investing in systems instead of replatforming gives IT the best of both worlds, it would seem a quest for something brand new might not be the best option.

Rebecca Dilthey is a Product Marketing Director at Rocket Software

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Need A Change? Newer Isn't Necessarily Better

Rebecca Dilthey
Rocket Software

We all love new, shiny objects. When the washing machine dies, most of us don't run to an appliance store that sells used models or parts to repair your machine. You drop the money on a new one with all the bells and whistles.

Same goes for enterprise technology. When a legacy system starts to fail, our eyes tend to widen as we evaluate all the fancy toys on the market. Absolutely everything in hardware and software is about novelty — yesterday's innovation is tomorrow's doorstop.

While it doesn't appear as glamorous as the newest, most disruptive technology, often your old systems can be updated to deliver the performance your organization needs, saving your business the money and time associated with "rip and replace" projects.

During the pandemic, IT scaled back on higher risk new investments and looked at how they could invest in the systems they already had. In a post-COVID world, this trend hasn't changed, even as IT spending returns to pre-pandemic levels. Even though there is increased investment in projects to better service hybrid work environments as well as the hot new trends like hybrid cloud, organizations are realizing they can save valuable time and money by modernizing existing technology rather than throwing capital at the next big technology trend.

It's only natural that IT leaders would consider replacing systems they believe are outdated, especially if there is a perception that the systems cannot natively support a need of the business. In fact, that's often the first order of business for new CIOs when they walk into an IT organization. What often is overlooked, however, is the value of the solutions they have in place — the ones their teams are comfortable with and don't cost hundreds of thousands or even millions of dollars in a rip and replace project. Often these systems are fully capable of meeting their needs and enabling innovation and experimentation, especially if they are kept up to date.

What was that about millions of dollars?

The numbers are not insignificant. When adopting a rip and replace strategy, there are so many costs that aren't realized when initial project scoping occurs. For example, Projects this size often need full time managers, often delegated to consulting firms. Then there is the opportunity cost of employees having to devote time and effort to the project instead of their day-to-day job. And what about the huge amount of risk inherent in a re-platforming project. There are companies that have made the huge investment to replatform, only to find out at the end of the project there are some applications that are so central to how the business operates, they are in essence the hub of all operations and therefore too risky to touch. Millions of dollars and years of effort essentially for nothing.

Fans of rip and replace often counter that change needs to be made for operational reasons — but the data doesn't support it. While the product lines of many large systems are several decades old, the hardware and operating systems are updated every year. For some reason, though, that gets lost when we think of these older systems.

If you drive a Ford Focus, you know it's evolved dramatically from Ford Model T — so why is there this perception that these machines are like their ancestors?

In fact, not only do these systems offer the lower total cost of ownership and the unique security and transaction management capabilities inherent in mainframe and midrange systems, today's developers and programmers can use their favorite open-source languages and tools, new technologies like AI and ML, and more.

Additionally, there are software tools that enable non-RPG and -COBOL developers to cost-effectively create an "innovation layer" that makes it easy and efficient to modernize and automate applications and workflows running on these systems.

Businesses are coming to the realization that it's more valuable to update their existing tech stack on the heritage system — and upgrade to the latest OS — rather than turning to a rip and replace approach. After all, at the end of the day, the two main factors that matter most to IT leaders are: does my infrastructure and the tools I deliver to the business support the business strategy and goals; and can I ensure that support of the business in a cost-effective way. If investing in systems instead of replatforming gives IT the best of both worlds, it would seem a quest for something brand new might not be the best option.

Rebecca Dilthey is a Product Marketing Director at Rocket Software

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UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...

For years, many infrastructure teams treated the edge as a deployment variation. It was seen as the same cloud model, only stretched outward: more devices, more gateways, more locations and a little more latency. That assumption is proving costly. The edge is not just another place to run workloads. It is a fundamentally different operating condition ...

AI can't fix broken data. CIOs who modernize revenue data governance unlock predictable growth-those who don't risk millions in failed AI investments. For decades, CIOs kept the lights on. Revenue was someone else's problem, owned by sales, led by the CRO, measured by finance. Those days are behind us ...

Over the past few years, organizations have made enormous strides in enabling remote and hybrid work. But the foundational technologies powering today's digital workplace were never designed for the volume, velocity, and complexity that is coming next. By 2026 and beyond, three forces — 5G, the metaverse, and edge AI — will fundamentally reshape how people connect, collaborate, and access enterprise resources ... The businesses that begin preparing now will gain a competitive head start. Those that wait will find themselves trying to secure environments that have already outgrown their architecture ...

Ask where enterprise AI is making its most decisive impact, and the answer might surprise you: not marketing, not finance, not customer experience. It's IT. Across three years of industry research conducted by Digitate, one constant holds true is that IT is both the testing ground and the proving ground for enterprise AI. Last year, that position only strengthened ...

A payment gateway fails at 2 AM. Thousands of transactions hang in limbo. Post-mortems reveal failures cascading across dozens of services, each technically sound in isolation. The diagnosis takes hours. The fix requires coordinated deployments across teams ...

Every enterprise technology conversation right now circles back to AI agents. And for once, the excitement isn't running too far ahead of reality. According to a Zapier survey of over 500 enterprise leaders, 72% of enterprises are already using or testing AI agents, and 84% plan to increase their investment over the next 12 months. Those numbers are big. But they also raise a question that doesn't get asked enough: what exactly are companies doing with these agents, and are they actually getting value from them? ...

Many organizations still rely on reactive availability models, taking action only after an outage occurs. However, as applications become more complex, this approach often leads to delayed detection, prolonged disruption, and incomplete recovery. Monitoring is evolving from a basic operational function into a foundational capability for sustaining availability in modern environments ...

In MEAN TIME TO INSIGHT Episode 22, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses DNS Security ... 

The financial stakes of extended service disruption has made operational resilience a top priority, according to 2026 State of AI-First Operations Report, a report from PagerDuty. According to survey findings, 95% of respondents believe their leadership understands the competitive advantage that can be gained from reducing incidents and speeding recovery ...