Markus Eisele aka myfear

For more than 20 years I have worked with large enterprises on modernizing Java platforms. From heavy monoliths to Quarkus-based, container-first architectures. Today I focus on how Java, open source, and local AI models come together in real systems, not demos.

I am a Java Champion, author, speaker, and developer advocate at IBM. I write the Enterprise Java and Quarkus Substack, The Main Thread, where I publish deep, hands-on tutorials.

• Designing AI-infused Java architectures that scale in real enterprises
• Helping teams replace heavy platforms with simpler patterns
• Turning complex ideas into copy-paste-ready tutorials
• Growing developer communities around open platforms

• Java & Quarkus modernization
• Enterprise-grade AI design
• Developer productivity & platform thinking
• Content that engineers actually trust

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.