AI-Powered Cloud Native Modernization: From Real Challe... Savitha R, Daniel O, Kenneth K & Duncan D
About this talk
This talk covers the challenges of modernizing legacy applications for the cloud native environment, addressing technical and strategic issues such as technical debt, migration risk, skill gaps, and cost constraints. Panelists Savitha Raghunathan from Red Hat, Daniel Oh from IBM, Kenneth Kilty from Microsoft, and Duncan Doyle from Solo.io offer practical strategies for phased migration to facilitate Kubernetes adoption. The discussion delves into important questions regarding the use of AI-enabled tools for workload preparation, the necessary validation processes when using AI for refactoring, and the design of a Cloud Native AI reference architecture. Attendees will gain actionable insights and a roadmap for adopting AI modernization tools that prioritize both innovation and safety.
More from this event
See all 436 talks →
Best of KubeCon + CloudNativeCon Amsterdam 2026
2:17
The Quiet Work of Forever: Sustaining Open Source Communities - O. Hope Amaechi-Okorie, JSON Schema
26:24
Evolving KServe: The Unified Model Inference Platform for Both Predictive and... F. Spolti & J. Lee
32:40
Preventing S3 Cost Storms: Applying Cortex’s Efficiency Lessons to I/O-Heav... A. Fishman-Lichterman
5:32