The collected work
Practical guides to Java, architecture, and AI.
AI agents are reshaping enterprise software, but many teams remain stuck at prototype stage. This book gives experienced Java developers and architects a practical path to designing autonomous systems in the JVM with scale, reliability, observability, and governance.
Darf mein Kind ChatGPT für Hausaufgaben nutzen? Wann ist KI eine kluge Hilfe – und wann wird sie zum heimlichen Ghostwriter? Dieser entspannte Eltern-Guide hilft Familien, Chatbots, Deepfakes und Datenfallen zu verstehen und alltagstaugliche Regeln zu setzen, damit KI ein Werkzeug bleibt, das Kinder klug, ehrlich und sicher nutzen lernen.
This report offers a pragmatic modernization path for enterprise Java across hybrid environments, including cloud native patterns, distributed data consistency, and practical AI integration in real systems.
As a Java enterprise developer or architect, you know that embracing AI isn't just optional—it's critical to keeping your competitive edge. The question is, how can you skillfully incorporate these groundbreaking AI technologies into your applications without getting mired in complexity?
While containers, microservices, and distributed systems dominate discussions in the tech world, the majority of applications in use today still run monolithic architectures that follow traditional development processes. This practical book helps developers examine long-established Java-based models and demonstrates how to bring these monolithic applications successfully into the future.
With the ascent of DevOps, microservices, containers, and cloud-based development platforms, the gap between state-of-the-art solutions and the technology that enterprises typically support has greatly increased. But as Markus Eisele explains in this O’Reilly report, some enterprises are now looking to bridge that gap by building microservice-based architectures on top of Java EE.
In this O’Reilly report, author Markus Eisele walks Java developers through the creation of a complete reactive microservices-based system. You’ll learn that while microservices are not new, the way in which these independent services can be distributed and connected back together certainly is. The result? A system that’s easier to deploy, manage, and scale than a typical Java EE-based infrastructure.