Digital Healthcare Architect specializing in the design and integration of enterprise healthcare platforms. I build and modernize systems using C#, .NET, Java, Python, TypeScript, and SQL across cloud ...

Abstract: As cloud computing continues to mature, aligning Spring Boot with cloud services is one of the strongest options for creating powerful, scalable Java applications. This paper focuses on ...

According to @DeepLearningAI, a new course teaches developers to build a semantic cache that reuses responses based on meaning rather than exact text to reduce API costs and speed up responses, source ...

Most full stack apps rely on a database. That means every time a user clicks, scrolls, or loads a page — your app makes a database query. But here’s the problem: Databases are slow compared to ...

Embabel, an open source framework for authoring AI agentic flows on the JVM, has been launched by Spring Framework founder Rod Johnson. Johnson aims for Embabel to become the natural way to integrate ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

Abstract: Aiming at the problems of low hotspot data prediction accuracy, complex prediction model structure, and non-uniform data caching structure of existing caching technology, this paper proposes ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The Spring ApplicationContext provides developers direct access to the Spring framework’s ...

spring-boot-starter-actuator Production ready features to help you monitor and manage your application. spring-boot-starter-amqp are neat spring-boot-starter-aop Support for aspect-oriented ...

A production-ready Spring Boot 3.2.11 application built with Java 21, integrated with Redis for caching and key-value storage. The project is Docker-ready, lightweight, and follows clean configuration ...