Migrating Java Workloads to the Cloud
Modernizing Java applications doesn’t have to mean rewriting them. In this session, we’ll show you how to unlock the full power of cloud elasticity and scalability—without changing a single line of your existing code. Learn how organizations are running legacy Java workloads more efficiently in the cloud, with immediate performance improvements and minimal disruption.
You’ll discover:
- How to migrate legacy Java apps to the cloud with zero refactoring
- Strategies to enhance scalability and elasticity for existing workloads
- Real-world examples of improved Java performance in cloud environments
Matt McClernon
Matt McClernon is a technology leader with over 25 years of experience working within the Oracle ecosystem, designing, building, and maintaining mission-critical databases and their hosted applications for some of the largest global organizations. Matt cut his teeth at the UK’s largest Oracle reseller back in the late 90s and developed a passion for optimizing and tuning Oracle workloads driven by an itch to eliminate waste and anti-patterns. These days Matt is leading a group of Solution Architects at AWS where he focuses on building and growing teams that are grounded on a solid foundation of psychological safety and a strong work ethic.
More On-Demand Sessions
Scalable Agents with Koog & Ktor in Kotlin
Developer Advocate, JetBrains
Making JVM Fleet Restarts Easier for Java Performance & Scale Using Cloud-Native Compilation
Deputy CTO, Azul
Building AI Agents with Spring & MCP
Principal Developer Advocate, AWS Josh Long
Spring Developer Advocate, Broadcom