
Accelerate Your Migration & Modernization with Code Explorer
Unlock Modernization with AI-Powered Code Explorer
FRIDAY, DECEMBER 19TH, 2025 @ 10:00AM CDT
Êtes-vous prêt à transformer vos systèmes existants et à accélérer votre migration vers Confluent Cloud ? Rejoignez-nous pour un webinaire exclusif au cours duquel nous présenterons Code ExplorerImproving, l'accélérateur de services alimenté par l'IA conçu pour simplifier, réduire les risques et accélérer votre parcours d'AWS MSK à Confluent Cloud.
Que vous soyez confronté à des bases de code non documentées, à des pipelines de données complexes ou aux défis de la modernisation des applications critiques, Code Explorer permet à votre équipe d'avancer plus rapidement, plus intelligemment et en toute confiance.
CE QUE VOUS APPRENDREZ :
How Code Explorer streamlines your application modernization and data migration process through AI-powered code analysis
Strategies to overcome legacy code challenges and technical debt
Explorer real-world benefits of AI-powered migration and modernization:
Greater migration and modernization agility
Faster time-to-insight
Improved productivity
Reduced risk
How to lay the groundwork for application and data modernization, migration, and integration
Live Q&A with our technology leaders
WHY ATTEND?
Accelerate Your Migration: Discover how Code Explorer performs layered analysis, maps dependencies, and generates actionable migration plans tailored to your tech stack.
Reduce Costs & Complexity: Learn how to minimize dual-cost windows and operational overhead during migration.
Preserve Data Privacy: All analysis is performed within your environment—no data sent to third-party services.
Unlock Advanced Streaming Capabilities: See how Confluent Cloud’s integrated tools and real-time updates drive innovation.
WHO SHOULD ATTEND?
IT leaders, architects, and engineers responsible for modernization, migration, and cloud transformation
Organizations leveraging AWS MSK and considering or planning a move to Confluent Cloud
Anyone seeking to accelerate innovation and reduce risk in their data streaming environment






