Foojay Podcast #38: Java in the Cloud
Java was born in 1995, long before Docker, Kubernetes, and elastic cloud servers shaped our daily work. The runtime grew up in a different world, so the question keeps coming back. Does Java still fit the cloud-native way of building software, and what changed in recent years to make that answer easier? We sat down with Grace Jansen, Mark Heckler, and Guillaume Laforge for Foojay Podcast #38 to dig into exactly that.
What we talked about
- Java’s role in cloud computing environments
- How Java adoption keeps growing as a cloud language
- The six-month release cadence and security updates every three months
- Cloud cost optimization and measuring energy usage
- Project CRaC and InstantOn for faster startup
- OpenJDK Project Leyden and what it means for the platform
- Observability with OpenTelemetry, MicroProfile Telemetry, and Micrometer
- Microservices versus monolithic architectures
- What AI means for Java developers
What stood out
The cloud story for Java sounds very different today than five years ago. Faster startup, smaller footprints, and better observability change the shape of real production workloads. Our guests brought practical angles from runtimes, frameworks, and Google Cloud, so the picture stays grounded in what teams ship.
See the Foojay Podcast #38 for all info, shownotes, links, etc.