/cdx → Azure, Azure Kubernetes Services, GitHub → code-modernization-planning-with-github
Code Modernization Planning with GitHub
Part of the scenario: Migrate & Modernize Your Estate
Focused on the critical planning phase of code refactoring, this demo illustrates how teams can leverage GitHub to efficiently orchestrate the modernization of legacy applications. It walks through using GitHub's collaborative workspace and project management capabilities to systematically evaluate aging .NET and Java monoliths, set up robust roadmaps, and prepare the development environment for a cloud-native transformation. Runs in a live demo tenant with realistic data — you try the real thing, not a slide deck.
More from Azure, Azure Kubernetes Services, GitHub
3 relatedAI-Assisted Migration
Focusing on data estate transformation, this demonstration illustrates how artificial intelligence can accelerate complex database migrations. It provides a detailed, step-by-step walkthrough on transitioning away from legacy systems by migrating an Oracle database to a modern PostgreSQL environment. The demo emphasizes the role of AI-assisted tools in minimizing downtime, reducing risk, and optimizing the target database schema for peak performance.
Azure ARC Capabilites
This demo focuses on hybrid and multi-cloud management using Azure Arc. Specifically, it showcases how organizations can unify their infrastructure management by bringing non-Azure assets under the Azure control plane. The demo highlights the practical implementation of Azure Arc by detailing the steps to onboard and govern AWS EC2 instances, ensuring consistent security, compliance, and operational visibility across diverse environments.
Azure Copilot Migration Agent for Azure Migrate
This demonstration showcases the Azure Copilot Migration Agent (ACMA), a powerful multi-agent conversational AI designed to accelerate the migration planning and execution process. The demo highlights how organizations can rely on ACMA's interactive guidance throughout the entire migration lifecycle—from discovering and assessing on-premises workloads to organizing them into structured, actionable migration phases.