基于 Java Web 项目的 SpringBoot 框架初始化模板，适配最新版本Spring AI，该模板整合了常用的框架（Mybatis-Plus、ShardingSphere、Redis、RabbitMQ、Elasticsearch、SaToken、OSS、Caffeine以及MongoDB等），广泛支持JDK11和JDK17，部分版本兼容JDK8，同时该模板适用于前后端分离项目启动开发，保证大家在此基础上能够快速开发自己的项目，同时也适合入门学习，本项目会由作者持续更新。

Spring Boot 教程、技术栈示例代码。在工作中的最佳实践，帮助快速上手运用到工作中。

编程导航 2025 年新项目，基于 Spring Boot 3 + Java 21 + TiDB + Redis + Pulsar + Docker 的高并发点赞系统实战项目，适用于社交平台、内容社区等场景。项目从基础功能开发到高并发优化再到企业级高可用架构，完整覆盖了点赞系统的核心技术，包括 Caffeine 多级缓存策略、消息队列削峰、分布式数据库、HeavyKeeper 热点数据识别、Promethus + Grafana 可观测性等解决方案。通过这个项目，你将掌握高并发系统设计、性能优化、监控告警等企业级开发经验，适合想要提升分布式系统开发能力的开发者学习，为简历大幅增添竞争力。

springboot 使用 redis guava caffeine 缓存示例

A local reactive cache for Java and Android. Now, it supports heap memory、off-heap memory and disk cache.

Double Level Cache Framework base on Memory and Redis

aI-tourism 是一个智能旅游规划系统，后端基于 Spring Boot、LangChain4j、MySQL、MyBatis、Sa-Token 等技术栈，集成了多种 AI 能力（如 AI Service、MCP 工具等），为用户提供个性化旅游路线推荐、会话管理、用户权限管理等功能。系统支持多轮对话、地图路线可视化、权限安全、MCP 工具热插拔等特性。

Prod application. Java 8, Spring Boot, AngularJS, Gradle, Gulp, MySQL, Mongo.

🔥 🔥 热门推荐 🔥 🔥将黑马点评进行完全地重构升级，围绕优惠券秒杀与热点查询，补齐高并发稳定性、动态令牌、限流、消息可靠性与数据一致性闭环，并添加订阅通知、候补排队等新亮点功能，解决烂大街和亮点不足问题！并打造成真正企业级别实战项目，全面工程化落地。

Spring Boot application with - Flyway migration, JWT authentication, Hibernate Envers Auditing, Hazelcast distributed caching, Docker Compose support. Checkout different releases for all features added to this application - https://github.com/chatterjeesunit/spring-boot-app/releases

Local cache for Java applications, enhance response speed. The underlying depends on Guava, Caffeine, OHC, etc., contains in heap and off heap support.

The groundbreaking library that breathes life into your data and models with consistent elegance. Effortlessly manage storage while implementing the powerful repository design pattern.

MyBatis cache adapter for Caffeine

Prod application. Java 8, Spring Boot, AngularJS, Gradle, Gulp, MySQL, Mongo.

A Caffeine based type cache for Jackson

Example of implementing a write-through cache with Caffeine

The goal of this project is to explore how caching works. To achieve this, we will implement a simple Spring Boot application called "restaurant-api." We will use Neo4j for storage and select one of the following solutions (Simple, Caffeine, or Redis) for caching.

一个基本功能完整的论坛项目

File Similarity Checker is a high-performance Spring Boot application designed to analyze and compare text files with precision and speed. Built with clean architecture principles, it provides a robust RESTful API for calculating similarity scores between a reference file and multiple target files.

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