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 ...

The release includes an embedded MCP server that exposes Spring project analytics to AI coding assistants, along with first-class support for Spring AI and automated property refactoring.

Developers like to code. They declare variables, write methods and integrate classes together. What developers aren't big on is configuration. It's a hassle to configure an application so that it can ...

Spring profiles are an advanced feature in Spring Boot. That's not to say they are difficult to understand -- they're actually very straightforward. However, new Spring developers often brush over the ...

In this post, you'll learn how to run a Java Spring Boot application on Azure Kubernetes Service (AKS) and connects to Azure PostgreSQL using Azure AD Pod identity. Azure Kubernetes Service (AKS) is a ...

Artificial intelligence and related technologies are evolving rapidly, but until recently, Java developers had few options for integrating AI capabilities directly into Spring-based applications.

Efficient Configuration Management: The article explains methods for effectively managing configuration in Spring Boot applications, emphasizing the utilization of Kubernetes ConfigMaps to store ...

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 ...