Revolutionizing Legacy System Modernization with AWS Transform
AWS Transform is redefining how organizations tackle legacy system modernization. By introducing new agentic capabilities, AWS now enables rapid transformation of nearly any application or codebase, regardless of the language, framework, or architecture. This advancement is a leap forward for businesses aiming to eliminate technical debt and redirect resources toward innovation.
Traditionally, up to 30% of developer time is consumed by manual modernization tasks, siphoning valuable hours from projects that generate business value. AWS Transform addresses this pain point by offering AI-powered automation capable of analyzing and transforming vast codebases efficiently. To date, the service has processed over 1.1 billion lines of code and saved more than 810,000 hours of manual work.
Custom Capabilities for Any System
The latest release introduces custom transformation capabilities that can adapt to virtually any system, including those with proprietary languages and frameworks. With pre-built transformations for common upgrades—such as Java, Node.js, and Python—as well as custom agents tailored to organizational needs, AWS Transform can modernize codebases up to five times faster than manual methods.
Each transformation agent learns from feedback, improving with every project and ensuring consistent, high-quality outcomes. This scalability is vital for enterprises managing hundreds or thousands of applications across diverse environments.
Customer Success Stories Highlight Real-World Impact
Several major organizations have already realized significant gains from AWS Transform. Air Canada, for instance, deployed the service to modernize thousands of Lambda functions, achieving an 80% reduction in both time and cost compared to manual migration methods.
QAD, a leader in cloud-based ERP solutions, used AWS Transform to modernize over 180,000 lines of legacy code. “What used to take two weeks now takes three days,” said Sanjay Brahmawar, CEO of QAD|Redzone. The result was a 60–70% increase in productivity and a yearly savings of more than 7,500 developer hours.
Teamfront, supporting field service software companies, transformed 800,000 lines of code in just two weeks. The company is now migrating from SQL Server to PostgreSQL while simultaneously modernizing applications, accelerating its roadmap and reducing operational complexity.
Thomson Reuters is also leveraging AWS Transform to migrate 1.5 million lines of code per month, reducing technical debt by 50% and cutting costs by 30% through a shift from Windows to open-source solutions.
Accelerating Full-Stack Windows Modernization
One of the most impactful updates is full-stack Windows modernization. AWS Transform can now accelerate modernization of Windows environments, including .NET applications, SQL Server databases, UI frameworks, and deployment layers. This comprehensive approach supports a switch to cloud-native, open-source solutions, significantly cutting licensing and maintenance costs—by as much as 70%.
The AI agents begin by assessing the entire Windows stack and proposing a transformation plan. Once approved, the agents execute a coordinated modernization across all layers, providing detailed summaries and updates throughout the process.
Enhanced Mainframe and VMware Capabilities
Building on nearly two decades of modernization expertise, AWS has introduced new agents aimed at simplifying and accelerating mainframe and VMware transformations. For mainframes, three new agents now provide activity analysis, business function blueprinting, and domain decomposition. These tools aid in decision-making and reimagining legacy systems for modern architectures.
In addition, task agents automate test planning and validation, historically time-consuming areas that could consume up to half a project’s timeline. These agents generate test plans, scripts, and datasets, reducing risk and increasing efficiency.
For VMware environments, AWS Transform now offers advanced discovery, planning, and migration capabilities. New agents provide iterative, customizable transformation experiences and include tools for security reviews and inventory management. A new migration planning agent uses unstructured data—like chat logs and documents—to contextualize and optimize the transformation journey.
Partner Ecosystem Enables Tailored Solutions
AWS is also launching the Transform Composability Initiative, allowing partners to integrate their tools and expertise into the AWS Transform framework. Early partners like Accenture, Capgemini, and Pegasystems are building industry-specific agents to deliver more relevant and effective modernization workflows for clients in sectors like healthcare and financial services.
This extensibility ensures that AWS Transform continues to evolve in line with customer needs, offering enterprise-grade flexibility and customization in modernization efforts.
Looking Ahead
With these enhancements, AWS Transform is setting a new standard for application and infrastructure modernization. By leveraging agentic AI, organizations can retire technical debt faster, improve operational efficiency, and reinvest in innovation. For more details, visit the AWS Transform product page.
This article is inspired by content from Original Source. It has been rephrased for originality. Images are credited to the original source.