AWS launched Lambda MicroVMs, a new serverless compute primitive that runs each user session or AI agent in its own Firecracker virtual machine with hardware-level isolation, snapshot-based rapid ...

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.

The Java ecosystem brings you unmatched speed and stability. Here’s our review of seven top-shelf Java microframeworks built for modern, lightweight application development. Java microframeworks are ...

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This example shows how to create a microservices architecture with Spring Boot and display its data with an Angular UI. Please read Build a Microservices Architecture for Microbrews with Spring Boot ...

The need to manage a user base for an online system is very frequent. Goal of this project is to offer a generic user's data management microservice. This microservice can offer a good and solid ...

Course Management: Managing courses, including operations for course authoring. Rating System: Enable platform users to rate courses. Between both contexts there is an asynchronous, event-driven, ...

Forcing a microservice architecture without proper evaluation can lead to inefficiency and complications. Below are a few scenarios where Microservices might not be the best fit, along with ...

In this article we're going to compare some essential metrics of the web applications using two different Java stacks: Spring Boot and Eclipse Microprofile. And since there are several implementations ...