IT specialist walking by a line of z17 systems

What is mainframe modernization?

Mainframe modernization, defined

Mainframe modernization is a process enterprises undertake 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. But the the most common mainframe modernization approach is mainframe application modernization, which focuses on updating one or more mainframe applications. In fact, the terms mainframe modernization and mainframe application modernization are often used interchangeably.

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 only on code, but on system-level engineering concerns such as data architecture, runtime replacement and transaction processes.

Ultimately the right mainframe modernization solution for an enterprise is one that keeps an enterprise’s mission-critical systems competitive in a rapidly changing IT landscape, while continuing to leverage the transactional, security, resilience and performance advantages 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

How mainframe modernization works

For many organizations, mainframe applications are the beating heart of their enterprise IT. They drive core business processes—such as e-commerce, transaction processing, automated decision-making, fraud detection and highly regulated workloads—that rely on the mainframe platform’s superior transaction processing, security and resiliency.

Not surprisingly, today enterprises see less opportunity in remaking the code base of these mission-critical applications, or migrating them to another computing platform. They see more opportunity—and far less risk—in focused modernization initiatives that evolve these applications to strategically expose APIs, integrate with hybrid cloud services, or embed AI or AI-driven capabilities.

A mainframe modernization strategy can include the following elements:

  • Hybrid cloud integration—modernizing an on-premises legacy mainframe application to interact seamlessly with hybrid cloud architectures, services and resources. This enables workload optimization—for example, moving moving some workloads to cloud infrastructure to take advantage of cloud scalability or elastic compute capacity, while keeping others on the mainframe to help ensure security or meet service level agreement (SLA) specifications.
     

  • DevOps integration—refactoring application code to leverage DevOps practices and cloud-native development architectures. DevOps integration increases business agility and pace of innovation by enabling development teams to quickly and frequently deliver and deploy new features and capabilities in response to customer or market demands, in a way that monolithic legacy application code does not.
     

  • AI integration—automating and enhancing an application’s predictive and decision-making capabilities by integrating artificial intelligence (AI) and machine learning capabilities into the application, its business logic or its data platform.
     

  • API modernization—using APIs to streamline integration with applications running on other platforms, including newer, more technologically advanced systems. This makes it easier to integrate an application with other applications and ecosystems, to expand its capabilities without coding new features, or to leverage new mainframe technology without upgrading or replacing the existing mainframe.
     

  • Infrastructure optimization—when most advantageous, re-platforming or rehosting certain applications on cloud or other more cost-effective infrastructure while maintaining or improving performance.

Organizations can mix these and other methods to achieve different goals. Suppose an organization wants more flexibility to operationalize an application’s transaction data—to make some of the data available to partner-facing applications, or to train AI models. By implementing data virtualization, the application can deliver data to other applications in real-time without providing access to the system of record. And through hybrid cloud integration, the data can be replicated securely to the cloud, for scalability and elastic compute capacity model training requires.

    Benefits of mainframe modernization

    Here are five benefits organizations typically realize with a strong mainframe modernization approach.

    Increased pace of innovation

    Legacy application modernization helps enterprises keep pace with new technologies and helps ensure 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.

    More technologically advanced workforce

    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.

    Improved automation and productivity

    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.

    Deeper insights from your data

    Mainframe data—about customers, workflows, maintenance issues and more—offers significant potential value for use in other systems. Mainframe modernization solutions that utilize new technologies like AI and machine learning can help leverage your company’s historical data in new ways, to uncover new strategic insights.

    AI Academy

    What's next for mainframes and AI?

    In this episode of AI Academy, Christian Jacobi explores the evolving role of mainframes in enterprise IT and how integration with AI is driving a new era of modernization.

    Want to go deeper? Get the practical guide to putting AI to work in application modernization.

    What to expect from mainframe modernization

    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.

    Common mainframe modernization challenges

    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.

    1. In-house skills gaps: One of the most frequently cited reasons for not modernizing IT infrastructure is the need overhaul your work force along with the new technology you’re installing to ensure you have skilled workers who can operate and maintain it. Retraining existing employees on new IT systems and/or or hiring new ones who have already been trained on these systems can be expensive and disruptive.

    2. Disruption of normal business processes: You wouldn’t be trying to modernize your mainframe if it wasn’t one of your most critical IT assets. By that same logic, shutting it down—even partially—to make much-needed upgrades can be expensive. Downtime and service interruptions can create poor customer experiences and cause users to look elsewhere.

    3. Complexity of legacy systems: Systems that were installed years or decades ago typically haven’t been sitting untouched for that long. In most cases, engineers have piece-mealed solutions together using newer tech to stop-gap larger problems without replacing equipment. This can result in a confusing blend of technologies, old and new, that can be difficult for engineers to upgrade without causing a disruption.

    4. Maintaining compliance and protecting critical data: Data integrity and compliance capabilities are critical to most enterprises, especially ones in the financial services or healthcare industries where the information they’re charged with safeguarding is highly confidential. Companies undertaking a mainframe modernization initiative are especially vulnerable to cyberattacks and data breaches that can be costly in both financial and reputational terms.

      Secure approaches to mainframe modernization


      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.

      1. Mainframe migration to the cloud: One of the most common and effective mainframe modernization approaches involves moving critical IT systems and existing applications into a highly adaptive, resilient and flexible hybrid cloud environment. This is known as cloud migration. With cloud computing modernization solutions, rehosting increases agility and flexibility and significantly reduces the costs associated with deployment of a new modernized mainframe to a private or public cloud.

      2. Code optimization: Optimizing old, inefficient code (also known as refactoring) is also a popular mainframe modernization approach. It involves the rewriting and restructuring of an existing codebase. Refactoring helps increase responsiveness and efficiency and reduce technical debt, or future expenses created by poor architectural decisions made in the present.

      3. Pre-built solutions: A pre-built, off-the-shelf solution is simply a replacement part (or entire IT system) that’s been purchased to replace an older one. Pre-built solutions are among the simpler options available to businesses who want to modernize their mainframe environment but aren’t yet ready to invest in the resources and risks of a move to cloud or a code overhaul. In an off-the-shelf solution, older IT systems are simply replaced with something newer and more technologically advanced.

        Authors

        Mesh Flinders

        Staff Writer

        IBM Think

        Ian Smalley

        Staff Editor

        IBM Think

        Related solutions
        IBM zSystems® mainframe servers and software

        IBM zSystems is a family of modern z/Architecture hardware that runs z/OS®, Linux®, z/VSE®, z/TPF, z/VM® and zSystems software.

        Explore IBM Z
        Enterprise business server solutions

        Built to handle mission-critical workloads while maintaining security, reliability and control of your entire IT infrastructure.

        Explore server solutions
        Mainframe modernization services

        Accelerate digital transformation by modernizing your mainframe applications with IBM.

        Explore mainframes services
        Take the next step

        Unlock the power of IBM Z and Telum to secure your data, optimize performance and drive real-time AI insights. Build the future of your enterprise with industry-leading mainframe solutions and processors designed for speed, scalability and security.

        1. Explore IBM Z Capabilities
        2. See How AI Delivers ROI