Explore design patterns for integrating machine learning into Java applications, including data pipelines, model serving, and feature stores, with practical examples and best practices.
Explore the transition from monolithic to microservices architecture, cloud-native patterns, and Java implementations for scalable, resilient applications.
Explore the impact of new Java features like records, sealed classes, and pattern matching on design patterns, enhancing code simplicity and performance.