Transform Legacy Application using Amazon Q Developer (Transform)
Posted on March 18, 2025 by Vikrant Sundriyal
The Shift Towards Assisted Coding
The world of software development is rapidly evolving, with developers increasingly relying on AI-powered tools to streamline workflows, reduce manual effort, and accelerate project delivery. Assisted coding tools are becoming indispensable in modern software engineering, enabling teams to tackle complex challenges with greater efficiency and precision.
In this era of digital transformation, legacy systems—particularly those built on older frameworks like ASP.NET—pose significant challenges. Modernizing these systems requires not only technical expertise but also innovative tools that can simplify the process. Enter Amazon Q, AWS’s Generative AI-powered conversational assistant, which is designed not only to build cloud native AWS applications but is also proving to be a game-changer in the modernization of legacy Windows workloads.
Strengths of Amazon Q in Modernization
Amazon Q stands out as a powerful tool for modernizing legacy systems, thanks to its ability to provide actionable insights, automate repetitive tasks, and guide developers through complex technical challenges. Its strengths lie in:
These capabilities make Amazon Q an invaluable partner for teams looking to modernize legacy workloads without compromising on stability or performance.
Case Study: Modernizing Legacy ASP.NET Applications with Amazon Q
In a recent project, we partnered with a leading financial services provider to modernize their legacy ASP.NET applications by containerizing and migrating them to AWS Elastic Kubernetes Service (EKS). Amazon Q played a pivotal role in overcoming the challenges associated with this transformation. Here are three key highlights of how Amazon Q contributed to the project’s success:
Final Thoughts
Amazon Q and Q Transform (Currently in Preview) has emerged as a go-to tool for modernizing legacy Windows workloads, as demonstrated by its pivotal role in the successful migration of legacy ASP.NET applications to AWS EKS. By simplifying containerization, resolving complex dependencies, and streamlining build pipelines, Amazon Q enabled us to deliver a robust and scalable solution.
As organizations continue to embrace cloud technologies, tools like Amazon Q will play an increasingly critical role in bridging the gap between legacy systems and modern infrastructure.
Key Takeaways:
Amazon Q, AWS’s Generative AI-powered assistant, played a pivotal role in modernizing legacy ASP.NET applications by simplifying containerization, resolving complex dependencies like Oracle Client setup, and streamlining build and deployment pipelines. This real-world case study demonstrates how AI-assisted development accelerates and enhances legacy application modernization, enabling a smoother transition to AWS EKS with improved efficiency and reduced manual effort.
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