As teams return from AWS re:Invent, the conversation around modernization feels more urgent and actionable than in the past. Legacy architecture challenges are not new. Many enterprise systems were originally built as monolithic architectures, where applications are developed and deployed as a single, tightly coupled unit. Over time, this structure makes scaling inefficient and requires redeploying the entire application for even small changes. 

What makes this topic especially relevant now is not only the persistence of the challenge, but the market investment and momentum behind solving it. According to Markets and Markets, the mainframe modernization market is projected to grow from USD 8.39 billion in 2025 to USD 13.34 billion by 2030. This reflects a broader shift in expectations. Modern systems are expected to be cloud-aligned, AI-ready, and capable of evolving continuously.

This reality is driving change. Organizations are modernizing to enable greater resilience and operational efficiency. They need to release updates more quickly, integrate across platforms, and reduce dependency on specialized legacy skills, all while maintaining security and compliance. These pressures push organizations toward microservices-based architectures that support the independent evolution of components.

We continue to see that the shift from monoliths to microservices is no longer a question of if, but how organizations can do it with confidence without introducing unnecessary risk. AI-first modernization tools now give us this power.

Why organizations are moving from monoliths to microservices

Monolithic architectures were designed for a different era, one where systems changed infrequently, and scaling requirements were predictable. Today, even small changes often require redeploying entire applications, slowing delivery and increasing operational risk. Microservices address these challenges by allowing teams to break applications into smaller, independently deployable components. These components are typically packaged as containers, such as that offered by Kubernetes,  which bundle the application code together with its required libraries and dependencies. 

This approach enables teams to move faster, responding more quickly to policy changes and integrating with modern platforms while  supporting continuous innovation. At the same time, it improves fault isolation and reduces the blast radius of failures.

Amazon EKS and Tyrion as the foundation for secure microservices

While the benefits of microservices are clear, realizing them requires a strong operational foundation. Using tools that manage Kubernetes cluster operations such as scaling and upgrading ensure high availability while integrating components seamlessly with cloud services.

For our  government customers, this foundation is extended through Tyrion, our proprietary container platform built on Amazon EKS. Tyrion was built to match the regulatory requirements of federal government agencies. It enables teams to build, deploy, and scale containerized applications in secure, compliant environments.

From traditional migration patterns to AI-accelerated modernization

Historically, organizations have relied on migration patterns that  lift the workload from the mainframe and place it in the cloud environment. While these lift-and-shift methods can reduce infrastructure risk, they often preserve inefficiencies embedded in legacy workflows. 

For example, in a recent modernization effort, we wanted to migrate new applications to our Tyrion platform. The goal of this modernization effort was removing inefficiencies within the system’s document workflow. Simply lifting and shifting the existing processes would have retained manual, multi-step handoffs between systems, limiting the value of the migration. Instead, we took an incremental approach, re-examining how systems interacted and consolidating workflows to eliminate unnecessary steps. 

That process was accelerated with ReDuX. Using our AI-powered platform, teams can analyze the legacy code like the Natural used in our customer’s ADABAS-based system. From there they can understand business rules embedded in legacy systems, validate requirements, and modernize incrementally while maintaining traceability. By combining proven migration patterns, using advanced platforms like Tyrion, and reimaging with AI-assisted discovery, organizations can move faster, reduce risk, and modernize with confidence.

Modernization relies on understanding why systems work the way they do then evolving them thoughtfully to support future needs. With Tyrion and ReDuX, we continue to help organizations turn modernization from a risky overhaul into a deliberate, scalable journey. ReDuX helps teams move faster without losing what makes their systems work. 

Explore the platform through a live demo or join an upcoming webinar to see real-world modernization in action.