Acquiring the Java platform wasn't a top priority when Oracle purchased Sun Microsystems. There were plenty of ways for Oracle to completely ignore the Java Platform and still justify Sun's $7.4 ...

The cloud-native Java platform simplifies deployment and ensures security and compliance. Payara Qube is purpose-built for organizations under pressure to modernize without sacrificing security, ...

To create effective machine learning and deep learning models, you need copious amounts of data, a way to clean the data and perform feature engineering on it, and a way to train them on your data in ...

COMPANY NEWS: Market demand for Azul driven by enterprise imperatives for performance, cloud cost optimisation, application modernisation and greater control over Java licensing costs Azul, the ...

With a large proportion of knowledge workers doing now doing their jobs from home, the need for tools to help them feel connected to their profession can be as important as tools to, more practically, ...

As the tech world charges into 2025, O'Reilly Media's latest report on its learning platform usage offers a deep dive into the shifting sands of software development education. Among the most ...

Red Hat's Mark Little, for years a tireless proponent of the Java platform (Java Enterprise Edition and Standard Edition) as the foundation for service oriented architecture, has lately been talking ...

The Eclipse Foundation's Jakarta EE Working Group has released Jakarta EE 11, the latest version of its enterprise Java platform, marking a significant step in modernizing enterprise Java development ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

As one might imagine, the Oracle OpenWorld 2017 and JavaOne 2017 conferences are a pretty busy time for an Oracle executive, which is why TheServerSide was lucky to get an audience with Michael ...

Java users can integrate ML into their Spring applications with Spring Boot Starter for Deep Java Library. Apply these frameworks to integrate ML capabilities into microservices for deep learning.