Legacy Java Modernization: Stop Fixing Legacy Java by Hand and Let AI Do It

Legacy Java Modernization: Stop Fixing Legacy Java by Hand and Let AI Do It is explained in this M365 FM video guide. Learn the core concepts, key capabilities, practical use cases and implementation considerations for real-world Microsoft environments.

Still manually upgrading legacy Java applications? Stop performing unpaid penance and start leveraging AI agents to handle the drudgery of modernization. In this video, we break down why manual technical debt management is a failure mode and how automated agents can transform your legacy Java 8 stack into a modern, secure Java 21 environment.

We walk through a comprehensive narrative case study involving a migration from AWS to Azure. You will see how AI agents perform deep inventory assessments, identify unpatched CVEs with reachability analysis, and handle the dependency hell that usually stalls enterprise projects for months. Discover how to move from brittle, manual processes to a disciplined, machine-speed upgrade loop using OpenRewrite and GitHub Actions.

Key topics include the performance benefits of Java 21 virtual threads, containerization strategies for Azure App Service, and the critical security-to-cost metric that finance and security teams finally agree on. We also dive into the governance side, showing how every change remains human-controlled and fully auditable through Git-based workflows. Stop wasting senior engineer time on transitive library conflicts and start focusing on high-value feature work.

Chapters
0:00 Stop Hand Upgrading Legacy Java
2:45 The Case for Java 21 and Virtual Threads
5:15 Automated Assessment and Technical Debt Receipts
9:30 The AI Driven Upgrade Loop
13:15 Migrating from AWS to Azure
17:45 Measuring Success: Cost vs Security
20:15 Governance and the Audit Trail

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