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Modernize legacy mainframe apps by moving to the cloud. Cut costs, boost agility, improve security, and drive efficiency with the right strategy to future-proof your business systems.
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Mainframes have been the backbone of enterprise technology for decades. These systems have powered everything from banking transactions and insurance policies to airline reservations and government services. They’re reliable. They’re powerful. But they’re also old. And in a world where agility, scalability, and cost-efficiency have become necessities, legacy mainframes are starting to buckle under modern business demands.
If your organization is still running mission-critical applications on a legacy mainframe, it’s time to rethink the status quo. With the right mainframe modernization strategy, you can reduce costs, improve performance, boost agility, and position your business for long-term success.
Let’s explore how to modernize, migrate, and unlock the full potential of your core systems.
Maintaining legacy systems isn’t just expensive—it’s risky. These environments rely on aging infrastructure, limited integration capabilities, and highly specialized skills that are getting harder to find. As they grow increasingly inefficient, they hinder agility and scalability.
Modernizing your mainframe involves updating or replacing outdated applications with new, cloud-ready systems. This isn’t a superficial upgrade. It’s a fundamental transformation. With the right mainframe modernization strategies, businesses can achieve significant value and resilience.
As applications evolve, legacy systems become overloaded with data and business logic. Performance suffers, scalability becomes difficult, and even minor changes demand significant effort.
Cloud migration solves these issues. By shifting mainframe workloads to the cloud, organizations gain:
Of course, we get it—mainframe modernization isn’t easy. These systems have been deeply embedded into business processes over decades. Untangling them can feel like defusing a bomb while it’s still running.
Here are a few common mainframe modernization challenges:
But there’s good news. With a structured mainframe modernization approach, the transition can be managed incrementally and strategically, reducing risk while unlocking significant value.
Let’s explore some proven mainframe modernization techniques. These approaches allow organizations to update legacy systems while minimizing disruption and maximizing ROI.
Many legacy applications are built on monolithic codebases, which makes adding new features or rewriting parts of the system a real challenge. It’s not just about complexity—the real hurdle is finding developers who understand that old code and can work within the same programming language.
When that’s not feasible, the best path forward is often to rewrite the application entirely. This can be done manually or with automated tools, giving you a fresh, modern version that’s easier to maintain and scale.
Rehosting is one of the most straightforward ways to get your applications into the cloud. It lets you move existing systems to a new environment without having to overhaul the whole codebase. Sure, you might need to tweak a few parts—especially where your app interacts with external tools like databases—but overall, the changes are minimal.
Re-platforming is similar, though it may involve a bit more fine-tuning to take full advantage of the new environment’s capabilities.
Sometimes, the best move is to retire the old application and switch to a ready-to-go solution. Think commercial off-the-shelf software or Software-as-a-Service (SaaS) platforms like Salesforce or a Policy Administration System (PAS). These come packed with useful features and are designed to get you up and running fast.
But before jumping in, make sure the solution integrates well with your existing systems. It should also have the user interfaces, dashboards, and reporting tools your team relies on. On the plus side, these platforms are typically quick to deploy, easy to validate, and come with built-in security and compliance support—assuming the vendor has a solid track record.
There are times when it actually makes sense to hold on to a legacy system. Maybe it performs a unique task that no other system can. Or maybe it’s part of a complex integration that would be risky to dismantle.
In some cases, businesses only need that legacy system to produce data now and then—for things like audits or compliance checks. When that’s the case, archiving it to low-cost storage and accessing it only when necessary, can be a practical solution. You get the functionality without the ongoing overhead.
Bringing DevOps into the legacy environment is a smart way to speed up modernization. Start with centralized code repositories and unified development environments. Add automated testing into the mix, and you’re setting the stage for smoother, faster releases.
This setup helps integrate updates into your main codebase more efficiently, leading to faster turnarounds and fewer bugs. Plus, by working in small sprints, your team can test changes in bite-sized chunks, lowering the risk of major failures and making the whole process more manageable.
Data-heavy organizations—especially banks and financial institutions—often wrestle with rising costs from managing legacy datasets like VSAM, ISAM, IDMS, and IMS. These formats weren’t built for today’s fast-paced, cloud-connected world.
By migrating to modern database systems such as NoSQL or cloud-native platforms, companies can unlock major advantages. We’re talking about better agility, faster access to insights, and the ability to support emerging technologies like big data analytics, social media, and mobile-first services.
Before diving into a full migration, it’s worth asking: are we using our existing resources wisely?
Monitoring and optimizing how your mainframe consumes MIPS (Million Instructions Per Second) can go a long way toward cutting costs. Keep a close eye on workloads, databases, and application code. With focused effort, organizations often see a 12–35% reduction in MIPS usage within six months.
That’s a meaningful win—and a great first step in your broader legacy mainframe modernization journey.
Want your legacy applications to work with newer tools and platforms? APIs are your best friend.
By building APIs, you can create bridges between systems. This allows for data sharing, task automation, and even new customer-facing capabilities. To get there, legacy monoliths need to be broken down into smaller, independent functions—essentially microservices—that can be exposed and accessed via APIs.
It’s a powerful way to extend the life of your mainframe while making it play nicely with your modern digital ecosystem.
Still on the fence? Here are just a few of the many mainframe modernization benefits:
Information Services Group (ISG), a leading global technology research and advisory firm, named Hexaware a Leader in Application Modernization Services in the ISG Provider Lens™ Mainframes – Services and Solutions 2025 US Quadrant Report. At Hexaware, we make mainframe modernization simpler, faster, and more effective with powerful proprietary platforms: RapidX™, Tensai®, and Amaze®.
Together, these platforms empower you to modernize at your own pace, cut costs, and future-proof your business. We’re here to help you simplify the complex and unlock real value—every step of the way.
The longer you wait, the harder and costlier it becomes to maintain a legacy mainframe system. But with the right mainframe modernization approaches, tools, and team by your side, you can take control of your future and accelerate your digital transformation.
At Hexaware, we specialize in tailored mainframe modernization services that meet your business where it is—and take it where it needs to go.
Let’s chart your modernization roadmap together. Your journey to smarter systems, faster innovation, and future-proof operations starts here.
Mainframe modernization is the process of updating or transforming legacy mainframe systems into more agile, scalable, and cloud-ready platforms. It enables faster innovation, improves performance, and reduces operational complexity.
Legacy systems are costly to maintain, difficult to scale, and often rely on outdated technologies. They pose risks due to limited integration capabilities, security vulnerabilities, and a shrinking pool of skilled mainframe developers.
By moving to modern, cloud-based environments, organizations can lower infrastructure and maintenance expenses. Modernization also optimizes resource usage and reduces reliance on expensive, specialized legacy skills.
AI can accelerate modernization by automating code analysis, identifying dependencies, and generating system documentation. Tools like RapidX® use AI to create digital SMEs, speeding up knowledge transfer and reducing transformation costs.