Amazon Q Developer transformation capabilities accelerate large-scale transformation of enterprise workloads with domain-expert generative AI agents to simplify .NET porting, VMware modernization, mainframe application modernization, and Java upgrades. Put experience of AWS and the power of generative AI to work to simplify your application migration and modernization journey and transform your business.

Organizations are under pressure to migrate and modernize their application portfolios to accelerate their speed ofinnovation and optimize staff and infrastructure costs in order to beat the competition.

Many organizations still run critical applications on mainframes, but modernization is challenging due to complexity and dependencies.

Many organizations are modernizing applications quickly, gaining a competitive edge. AWS helps with AI-driven tools like Amazon Q Developer, which accelerates Java, .NET, and mainframe transformations.
In this video, we explore some of the transformation tasks, including on-premises application data discovery, wave planning, and network translation and deployment.
Continue Reading
This blog post introduces Amazon Q Developer, an AI-powered assistant designed to streamline the migration and modernization of on-premises VMware workloads to AWS. Leveraging 18 years of AWS expertise, this tool simplifies the process by utilizing natural language interactions.
Continue Reading
Get a glimpse of the GenAI powered transformation capabilities of Amazon Q Developer that accelerate the porting of .NET Framework applications to cross-platform .NET. Using these capabilities, you can modernize your Windows .NET applications to be Linux-ready up to four times faster than traditional methods.
Continue Reading
AWS has introduced Amazon Q Developer's transformation capabilities for .NET, enabling developers to port .NET Framework applications from Windows to cross-platform .NET within their IDE. This generative AI-powered tool streamlines code analysis, dependency mapping, and refactoring, facilitating migration to Linux environments.
Continue Reading
Get a glimpse of the GenAI powered transformation capabilities of Amazon Q Developer that accelerate modernization of mainframe applications. Amazon Q Developer agents analyze and document your code base, identify missing assets, decompose monolithic applications into business domains, plan modernization waves, and refactor code.
Continue Reading
AWS has introduced new generative AI–powered transformation capabilities in Amazon Q Developer to streamline mainframe application modernization. These autonomous agents analyze codebases, decompose monolithic applications, and refactor legacy code into modern, cloud-optimized solutions, accelerating the transition to contemporary architectures.
Continue Reading
Load More
Physical AI can conjure up unique but solvable issues surrounding unpredictability, data quality, safety and cost overruns. Avoid...
The competitive landscape, particularly the geopolitical clash between the U.S. and China, complicates the AI safety dilemma.
The launch of CISA's Cyber Storm X puts national incident response to the test. For enterprise CISOs, the exercise serves as a ...
Cybersecurity teams need a leader -- or do they need two? As the pressures on security professionals grow, the deputy CISO role ...
Two vendors now offer lakebase platforms that blend data lakes and databases. Like the data lakehouse, it's a buzzy-sounding ...
Cyberattacks on Springfield Public Schools and Everett City Hall show what it takes to keep operating when an intrusion cuts off ...
Global energy market volatility remains a concern for fleet managers. Learn about some other challenges that CSCOs and COOs ...
AI agents can boost UCaaS workflows, but IT leaders must follow best practices to identify high-value workflows, determine ROI ...
Salesforce battling ServiceNow, AWS and a cast of thousands for the soul of agentic AI management.
CIOs must proactively track and account for their AI-driven carbon footprint as AI's growing energy demand increases the ...