Mainframe modernization is a process enterprises use to update or transform their legacy mainframe applications or systems to take advantage of the agility, developer productivity, cost optimization and competitive advantages enabled by new or emerging technologies.
Approaches to modernization can vary widely in scale and scope, with some taking on a total overhaul of an existing system’s functionality and others taking a more focused approach. Today, most mainframe modernization is mainframe application modernization, which focuses on updating the code and supporting infrastructure of a particular mainframe application or applications. This approach can include adding or implementing
It’s worth noting that as a method of modernization, mere code translation often fails to address the complexity of the problem modernization sets out to solve. Successful mainframe modernization projects concentrate not just on code but on system-level engineering concerns such as data architecture, runtime replacement and transaction processes.
Ultimately the right mainframe modernization solution is one that keeps an enterprise’s hardware and software competitive in a rapidly changing IT landscape, while retaining the transactional, security, resilience and performance characteristics of the mainframe computing platform. According to a recent report, organizations see substantial and increasing return on investment (ROI) from their mainframe modernization projects, ranging from 288% for app modernization on a mainframe to 362% for projects that move workloads from a mainframe onto other platforms.1
Mainframes are computers with large amounts of memory and data processors that perform simple calculations and transactions in real time. Mainframes are critical to the core business processes of many enterprises including commercial databases, transaction servers, and business applications that depend on their security and resiliency.
Mainframes that were installed as little as 10 years ago can still pose a considerable risk to an organization on several fronts. First, inefficiencies from legacy technologies can increase operational costs and make businesses vulnerable to newer, more innovative competitors. Second, legacy applications created with old programming languages can pose performance problems and be difficult for younger coders who were trained on modern coding languages to solve
One example of this is in the code languages COBOL (Common Business Oriented Language) and Java—two of the more widely used coding languages for application development. Despite their popularity, COBOL and Java still have key differences that need to be considered for a mainframe modernization initiative to be effective. While Java is more intuitive for many programmers because of its similarities to C++, COBOL’s syntax is designed for business-oriented deployments and is considered more readable.
Here’s a closer look at how mainframe modernization works and why it’s become such a central part of any of digital transformation initiative.
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The rise of artificial intelligence (AI), unstable geopolitical situations in Europe and the middle east have seen the business world rocked by a seemingly endless chain of disruptions, often linked to new technology. While it remains to be seen how these unprecedented changes will impact IT infrastructure over time, it’s a safe bet that digital innovation and the need for modernization will remain top priorities for business leaders in the near future.
Mainframes are, arguably, the area of IT infrastructure most vulnerable to change in an organization. The lifeblood of applications and data, mainframes are the beating heart of any enterprise in the tech space, so keeping them up-to-date and running smoothly is of utmost importance. For example, DevOps—the software development workflows enterprises rely on to speed the delivery of high-quality software and apps—relies heavily on the effectiveness of mainframe IT systems. But all mainframe modernization approaches aren’t created equal. Those that focus on translating outdated code bases rather than addressing underlying platform architecture problems created by legacy infrastructure aren’t as effective.
More than perhaps ever before, enterprises see the need to integrate and extend their mainframe capabilities to drive innovation and increase resiliency. Mainframe modernization strategies can help drive digital transformation and capture new business value. According to a recent IBV whitepaper commissioned by IBM, 45 of the top 50 banks, four of the top five airlines, seven of the top 10 global retailers, and 67 of the Fortune 100 companies leverage the mainframe as their core platform.
Here are five benefits organizations typically realize with a strong mainframe modernization approach.
Legacy mainframe modernization helps enterprises keep pace with new technologies and ensures their competitors won’t gain a technological edge. The introduction of AI tools into mainframe modernization projects, for example accelerates critical areas of transformation like code refactoring, DevOps design, knowledge preservation, and quality-of-service improvements
By itself, installing, operating and maintaining IT infrastructure is one of the biggest costs many enterprises face. Add to that the fact that older tech is more cumbersome and less easily integrated into new applications that your business needs, and it’s easy to see how not upgrading older IT can be less cost-effective in the long run than a mainframe or application modernization initiative.
Mainframe modernization is an opportunity to add skills and capabilities to your employees, making them more competitive and able to contribute better to your critical operations. For example, if your applications were coded more than a decade ago, chances are your coders could use a refresh as much as their code. AI tools can also address skills gaps as developers trained on the original languages the apps were written in—like COBOL—retire.
Upgrading IT systems is a great way for businesses to take advantage of the many automation capabilities that have been introduced in recent years. Automating mundane tasks like scheduling, maintenance and data entry helps employees refocus their time and energy on more value adding activities.
Mainframe data—about customers, workflows, maintenance issues and more—often sits unused for years inside legacy systems. Mainframe modernization solutions that utilize new technologies like AI and machine learning can help leverage your company’s historical data and spot critical strategic insights.
While there are different approaches and strategies to mainframe modernization, at a fundamental level, they all involve the upgrading of existing IT systems and applications. Scope, scalability and other requirements can vary depending on business need, so it’s important for stakeholders to be in alignment on their expectations for a project, as well as its potential risks.
Any modernization initiative—regardless of scope—comes with certain risks. The complexity of upgrading technology that was installed 10, 20, even 30 years ago is simply too great to eliminate risk entirely. Here are some of the challenges a mainframe modernization project typically faces.
While these risks can’t be eliminated altogether, these widely used approaches to mainframe modernization can lower them considerably while still allowing organizations to reach their modernization goals.
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1 Kyndryl’s 2025 State of Mainframe Modernization Survey Report, Kyndryl 2025