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This Is Your Mainframe, All Grown Up

Dennis O'Flynn

During my IT career, I've found myself in various roles across multiple platforms. In that time, there's been one constant that I've observed: There is often a disconnect between different IT teams and across environments. We need to work to bridge those gaps, particularly in the evolving relationship between the mainframe and distributed worlds.

Over time, I've seen a lot of change in the mainframe landscape, though probably none as seismic as its recent integration with modern technologies such as mobile. This need to accommodate distributed, open systems (systems of engagement) alongside the traditional mainframe environment (systems of record) creates a larger need – to bridge that long-standing gap between mainframe and distributed teams.

Your mainframe must now operate across the enterprise, in order to interact directly with users. And that's not going to change anytime soon. And so navigating that divide is no longer an option – it has become a business imperative.

This is the new normal of mainframe.

But how are today's IT organizations troubleshooting enterprise application performance problems?

And managing mainframe resources to ensure efficiency?

In many cases, not very well, with days, weeks, even months, spent in war rooms. Plus, many organizations still approach the mainframe and distributed environments as separate worlds. Given the inter-related nature of today's enterprise, this approach is no longer effective. Now, mainframe and distributed teams need a shared view of IT and must communicate on the same level.

So we thought, in times like these, it would be helpful to have a new maturity model, a guide to helping organizations improve processes amid change. We enlisted the help of Alan Radding, veteran IT journalist and blogger. Together, we created a model that incorporates new mainframe roles and workloads alongside open systems, such as cloud and mobile, while encompassing new tools to address management and operations in this new environment.

With this model we're hoping to help IT organizations improve application performance management – plus the management of mainframe costs – as distributed and mainframe systems continue to converge.

The new model defines the following five categories for maturity across your enterprise, from the hardware and software you're employing to the way your organization is structured and how your teams interact:

- Application Technology

- Mainframe Attributes

- Organization

- Performance Technology

- Process

The 5 levels of maturity that you see in the model range from highly siloed and divided IT organizations (ad hoc), to highly integrated enterprises that effectively support and enhance the business (business revenue-centric).

Of course, there are many challenges to achieving enterprise maturity, such as:

- facing resistance to change

- changing skills as experienced mainframers retire

- management visibility of the expanded IT infrastructure

- end-user engagement

- increasingly complicated troubleshooting

But the end result is definitely worth it. By achieving enterprise maturity, you can ensure that your mainframe is more than just a legacy system. And especially through integration with the distributed side, it can drive your business forward.

Dennis O'Flynn is Director of Product Management for Compuware's Mainframe Solutions Business Unit.

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This Is Your Mainframe, All Grown Up

Dennis O'Flynn

During my IT career, I've found myself in various roles across multiple platforms. In that time, there's been one constant that I've observed: There is often a disconnect between different IT teams and across environments. We need to work to bridge those gaps, particularly in the evolving relationship between the mainframe and distributed worlds.

Over time, I've seen a lot of change in the mainframe landscape, though probably none as seismic as its recent integration with modern technologies such as mobile. This need to accommodate distributed, open systems (systems of engagement) alongside the traditional mainframe environment (systems of record) creates a larger need – to bridge that long-standing gap between mainframe and distributed teams.

Your mainframe must now operate across the enterprise, in order to interact directly with users. And that's not going to change anytime soon. And so navigating that divide is no longer an option – it has become a business imperative.

This is the new normal of mainframe.

But how are today's IT organizations troubleshooting enterprise application performance problems?

And managing mainframe resources to ensure efficiency?

In many cases, not very well, with days, weeks, even months, spent in war rooms. Plus, many organizations still approach the mainframe and distributed environments as separate worlds. Given the inter-related nature of today's enterprise, this approach is no longer effective. Now, mainframe and distributed teams need a shared view of IT and must communicate on the same level.

So we thought, in times like these, it would be helpful to have a new maturity model, a guide to helping organizations improve processes amid change. We enlisted the help of Alan Radding, veteran IT journalist and blogger. Together, we created a model that incorporates new mainframe roles and workloads alongside open systems, such as cloud and mobile, while encompassing new tools to address management and operations in this new environment.

With this model we're hoping to help IT organizations improve application performance management – plus the management of mainframe costs – as distributed and mainframe systems continue to converge.

The new model defines the following five categories for maturity across your enterprise, from the hardware and software you're employing to the way your organization is structured and how your teams interact:

- Application Technology

- Mainframe Attributes

- Organization

- Performance Technology

- Process

The 5 levels of maturity that you see in the model range from highly siloed and divided IT organizations (ad hoc), to highly integrated enterprises that effectively support and enhance the business (business revenue-centric).

Of course, there are many challenges to achieving enterprise maturity, such as:

- facing resistance to change

- changing skills as experienced mainframers retire

- management visibility of the expanded IT infrastructure

- end-user engagement

- increasingly complicated troubleshooting

But the end result is definitely worth it. By achieving enterprise maturity, you can ensure that your mainframe is more than just a legacy system. And especially through integration with the distributed side, it can drive your business forward.

Dennis O'Flynn is Director of Product Management for Compuware's Mainframe Solutions Business Unit.

Hot Topics

The Latest

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 ...