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
OpenTelemetry eBPF Instrumentation provides zero-code observability for Kubernetes applications using kernel-level eBPF, then ...
BellSoft's Hardened Builder lets Paketo Buildpacks users build zero-CVE container images on hardened base images, reducing ...
Enterprises can modernize legacy systems faster with the right tools. Discover how to choose the right modernization tool for ...
Legacy systems are more than just a drag on efficiency or merely older programs; they are strategic inhibitors that prevent ...
DevOps, Agile and Waterfall offer distinct approaches to software delivery, varying in speed, flexibility, risk management and ...
Harness makes its artifact registry generally available beyond early preview customers, with a security twist that could ...
DevSecOps for AI agents requires more than code review -- Harness beefs up behavioral and security controls and hints at a ...
Enterprise IT security audits assess infrastructure, access controls, cloud configurations and recovery readiness to reduce risk ...
AI slopification in business processes creates a costly debt cycle of rework, damaged customer trust and lost productivity that ...
Tech conferences are a vital way for CIOs and IT leaders to keep abreast of trends and make real-life connections in a ...