Putting It All Together: End-to-End Java Modernization on Azure

You made it. In this series finale, we recap the full modernization journey — from assessing unfamiliar legacy code to upgrading runtimes and frameworks, modernizing databases, customizing workflows, containerizing, deploying to Azure, and scaling across repositories with the CLI. This episode ties every step together into a continuous, developer-controlled engineering workflow. In this episode, you'll learn: → How each phase of the series connects: Assessment → Upgrade → Customize → Containerize → Deploy → Scale → Why modernization isn't a finish line — it's an ongoing engineering task, like testing or dependency management → How AI-assisted workflows scale developer judgment instead of replacing it → How the same workflows run from IDEs, terminals, scripts, and CI/CD pipelines — reviewable, auditable, and under developer control → Where to go next: additional resources and learning paths to continue your modernization journey 📺 This is Episode 8 (Series Finale) of the Modernize Java Apps with AI series — a 9-part, hands-on guide to upgrading legacy Java applications using GitHub Copilot. 🔗 Series playlist: https://www.youtube.com/playlist?list=PLlrxD0HtieHhaBJWlcxGd-kTDikSD4xyD 🔗 GitHub Copilot Modernization extension: https://aka.ms/GHCPMod-Java 👤 Presented by Ayan Gupta, Java & AI Advocate, Microsoft Java #GitHubCopilot #JavaModernization #Azure #CloudMigration #SpringBoot #CICD #EnterpriseJava #AI #DeveloperWorkflow