Covers Java best practices, design patterns, generics, concurrency, and performance optimization through practical examples ...

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

Building web services and documenting RESTful endpoints is no easy task, but testing RESTful APIs has always been a particularly sore point with Spring Boot and Java. Sure, you can test a GET ...

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 ...

AI on the JVM accelerates: New frameworks like Embabel, Koog, Spring AI, and LangChain4j drive rapid adoption of AI-native and AI-assisted development in Java. Java 25 anchors a modern baseline: The ...

The Spring Framework is possibly the most iconic software development framework of all time. It once suffered from a reputation of bloat, but it has long since shed that perception. The heart of ...

This is an example of overriding the application.yml file with the OS environment variables. Single or Array environment variables can be overridden. 4 and 5 are the most common use cases for ...

There are very good reasons for Java’s long-lived popularity as a server-side platform. It combines unbeatable maturity and breadth with a long and ongoing history of innovation. Using Spring adds a ...

Get Trace ID from an exemplar in metrics, then query in Tempo. Query with histogram_quantile(.99,sum(rate(http_server_requests_seconds_bucket{application="app-a", uri ...

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