Azul’s High-Performance Java Platform Achieves Historic First
Fleet-level advantages achieved for cloud-native Java applications with faster warm-up, smoother scaling and reduced cost.
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Every article on foojay.io, newest first: OpenJDK, the JVM, Java tooling and the ecosystem around them, written by the Java community.
Best Practices for Deploying MongoDB in Kubernetes
Running MongoDB in Kubernetes introduces challenges that don’t exist with stateless applications. By default, Kubernetes doesn’t understand …
Here's Java 25, Ready to Perform to the Limit
Here's Java 25, ready to perform to the limit. It introduces stable values, and intensifies its focus on performance as more JEPs emerge …
7,158 viewsFoojay Podcast #78: Welcome to OpenJDK 25!
We're excited to present the first episode of the Foojay Podcast's fifth season, marking the release of OpenJDK 25! For the first time, an …
Research: Measuring Energy Consumption in Programming Languages for AI Applications
I hope my research paper helps the community understand not only the importance of proper language platform selection, but also hardware …
MongoDB Schemas in Java
A lot of what I have said would also apply to other strongly typed languages too—but for most of the problems I am solving at the moment, …
Stochastic AI Agility: Breaking Cycles of Debt
The name “Stochastic AI Agility” suggests that the output of using AI-LLM definitely contributes to the goal, but the impact may not be …
JetBrains and Azul Collaborate on Kotlin Performance in Various JVMs
On May 20, JetBrains and Azul announced a strategic technical collaboration to enhance the runtime performance and scalability of web and …
Building REST APIs in Java with Spring Boot
REST has become the default choice for building web services, and for good reason. It’s straightforward to implement, easy for clients to …
Spec-Driven Development with AI: A New Approach and a Journey into the Past
We’re at an inflection point. AI can generate high-quality code, but only if we give it high-quality specifications.