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 ...

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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 ...

If you've ever wanted to integrate OpenAI's ChatGPT features into your Java programs, you'll be happy to learn that Spring AI has made the process easier than ever. And it's not just easier to connect ...

Before Spring introduced custom annotations, developers had to manage configurations like email validation using XML configuration files. The XML configuration would define beans, validators, and ...

[Azure Cache for Redis](/azure/azure-cache-for-redis/) provides an in-memory data store based on the Redis software. [Redis](https://redis.io/) improves the ...