Category: Kiro

Introduction Consider a team with over 400 servers to migrate, dozens of applications with varying dependencies, and multiple teams waiting on cutover windows. Every migration is unique, yet the challenges remain consistent. Teams struggle with manual tracking through spreadsheets, human errors in repetitive tasks like agent installation and DNS updates, decentralized orchestration across disconnected consoles, […]

The term ‘mainframe modernization’ is itself out of date. Modernization used to mean upgrading the technology. AI has made it about reimagining the business. Introduction The term “mainframe modernization” has been associated with infrastructure and technology modernization projects rather than business transformation. This covers a wide range of projects with very different objectives: application and […]

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, […]

Most cloud engineers today still spend time chasing pages, triaging incidents, and scaling infrastructure manually. That is about to change. AI agents are beginning to take over this operational burden. Engineers who understand this shift early will be the ones who define how it unfolds. Written as a fictional log entry from 2031, this blog […]

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 […]

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 […]

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 […]