Category: Mainframe Migration

Introduction Mainframe modernization has long been a challenging task for organizations, due to complex legacy codebases of critical applications, shrinking talent pool with mainframe expertise, and increasing need to embrace modern cloud capabilities. AWS Transform for mainframe, a breakthrough solution for modernizing legacy systems that was previewed as ‘Amazon Q Developer transform capability for mainframe’ […]

AWS Transform Now Generally Available to Accelerate Enterprise Migration and Modernization You’re likely aware of the huge appetite organizations of all sizes have to leverage AI technology to rethink their business and deliver intelligent, data-driven outcomes faster. Recent research shows that 64% of enterprises are investing in AI in 2025, and 63% are accelerating cloud […]

Mainframe databases have served as the foundational infrastructure of enterprise computing for decades, powering mission-critical applications across various commercial and government sectors with their robust transaction processing and data management capabilities. In part 1 of this blog series, we explored the fundamental components of mainframe systems, focusing specifically on compute and storage capabilities. In this […]

In this blog post, we outline the criteria for evaluating code maintainability and explain how AWS Blu Age transforms mainframe applications into maintainable object-oriented Java. AWS Blu Age allows customers to transform mainframe applications into Java Spring. This transformation not only remediates technology concerns, but enables business transformation. Without Java applications that can be readily […]

AWS just announced new generative AI–powered transformation capabilities of Amazon Q Developer for large-scale assessment and modernization of mainframe applications. Q Developer provides an objective-driven approach powered by autonomous generative AI agents to accelerate mainframe application modernization. It allows customers to define high-level goals and have Q Developer orchestrate the tools and streamline human actions to […]

This article co-authored with: Padmanabha Rao Chillara (The New York Times) Executive Summary Amazon Web Services recommends an incremental journey to the cloud, leveraging fast-paced, tool-based modernization approaches to migrate from the mainframe to AWS and then incrementally optimize workloads over time. The New York Times (The Times) selected an automated refactor approach to migrate […]

In this blog post, I will show you how to configure and run the x86 virtualized version of the OpenVMS operating system provided by VMS Software, Inc. in a cluster configuration on an Amazon Elastic Compute Cloud (Amazon EC2) bare metal instance. I will highlight integration points between OpenVMS guests running on the Amazon EC2 […]

Introduction Automating the building, testing, and deployment processes are a fundamental component of modern software development and delivery. By implementing a robust Continuous Integration (CI), Continuous Testing (CT), and Continuous Deployment (CD) pipeline organizations boost efficiency and accelerate time to market. This blog post presents a Continuous Integration, Continuous Testing, and Continuous Delivery (CI/CT/CD) pipeline […]

In this blog post, we will show you how to design the integration patterns and solutions for hybrid architecture during the transition phase. Mainframe environments typically involve complex and tightly coupled integrations between applications which share data and/or code. As mainframe applications are migrated to the AWS Cloud, an incremental approach using the Strangler fig […]

During the modernization of mainframe applications with AWS, migrating business functions implemented in Assembler can be part of the workload scope. AWS Mainframe Modernization Code Conversion with mLogica is an AWS cloud-native service to convert Assembler programs and macros to COBOL programs and copybooks. This blog post describes the conversion approach, its benefits, and provides an Assembler […]