Category: Artificial Intelligence

Technical debt isn’t just a developer inconvenience—it’s a material drag on enterprise innovation. The numbers tell a stark story: Forrester reports that nearly 20% of IT budgets are spent managing technical debt instead of advancing new capabilities. The Journal of Systems and Software found that developers lose an average of 23% of their working time […]

In this blog post, I will demonstrate a pattern to modernize your existing application by adding agentic AI capability to it without touching the source code of your legacy application. I will do that by offloading the heavy lifting of this transformation to Amazon Bedrock AgentCore Gateway and Kiro powers. For the purposes of this […]

Monolithic databases have long been a cornerstone of enterprise applications, but as organizations scale and adopt cloud-native architectures, these databases increasingly become bottlenecks. A structured approach to modernizing these monolithic databases addresses increased cost, scalability constraints, architectural rigidity, and performance degradation that prevent independent deployment and rapid innovation. Organizations embarking on cloud migration often discover […]

Introduction Organizations are modernizing their mission-critical systems on AWS to drive competitive advantage and meet evolving market demands. The drivers are clear with benefits such as increased scalability, improved application performance and reliability, accelerated time to market for new features, and advance AI/ML capabilities. Unlike traditional upgrades, application modernization is a fundamental shift in how […]

Many enterprises have used the mainframe as a platform of choice for their core business processing over decades. The simplicity and speed of initial development in monolithic architecture have consequently resulted in the creation of large (10M+ LOC) and exceptionally large (100M+ LOC) mono-repos and complex codebases. When customers are ready to modernize these applications, […]

For years, cloud migration projects have been slowed by fragmented, manual processes. Discovery required deploying multiple tools and navigating lengthy approvals. Assessments relied on manual analysis or tools requiring significant time. Migration itself depended on manual scripting for wave planning, network conversion, and server orchestration. This end-to-end journey often stretched across many months, delaying cloud […]

Building on a momentous launch earlier this year, AWS adds new powerful AI capabilities to AWS Transform for VMware migration agent. AWS Transform for VMware understands your business priorities, adapts to your environments, and gives you greater control at every migration step. The agent orchestrates migration processes including dependency mapping, intelligent wave planning, and network […]

Mainframe modernization is necessary for enterprises to increase agility, reduce costs, innovate, and mitigate business risks. Yet organizations face a significant hurdle during modernization: testing is critically important to validate modernized applications behavior, but it typically consumes more than half of project timelines and resources. As enterprises race to modernize their legacy systems, this testing […]

AWS Transform, launched in May 2025, is the first agentic AI service for modernizing mainframe workloads at scale. The AI-powered mainframe agent accelerates mainframe modernization by automating complex, resource-intensive tasks across every phase of modernization from initial assessment to final deployment. You can streamline the migration of legacy mainframe applications, including COBOL, JCL, CICS, Db2, […]

Sessions, workshops, blogposts, and breakthrough announcements Mainframe modernization is critical imperative for enterprises seeking to reduce costs and improve agility, yet traditional approaches to modernization face significant challenges including navigating complex legacy codebases, incomplete or missing system documentation, and the scarcity of specialized mainframe expertise due to a retiring workforce. Generative AI and Agentic AI […]