Modern applications require high performance, scalability, and automated deployment pipelines. By combining Spring Boot, Redis, Apache Kafka, Maven, AWS EC2, DockerHub, and Jenkins, developers can ...

AI Chatbot built using Java, Spring Boot, WebClient, and Groq API. The project demonstrates real-time LLM integration with REST APIs, DTOs, service architecture, API key configuration, JSON parsing ...

Learn how to turn AI ideas into practical Java applications without fighting unfamiliar tools or excessive boilerplate. This book shows you how to use Spring AI to build intelligent applications with ...

An example of a Spring Boot Kafka consumer application with non-blocking retry. Java 17 Spring Framework 6.0 Spring Boot 3.0 Spring Kafka 3.0.4 ...

Excited to share my latest project — Hotel Management System 🏨💻 Built a full-stack Hotel Management System designed to simplify and streamline hotel operations through a centralized and ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

To unleash the potential of AI in life sciences and drug discovery, biological datasets must be authenticated, validated, and supported by standardized metadata.

Moving platform.