技术深度类选题需配合源码分析

一、微服务架构与云原生

1. ‌Spring Cloud Alibaba在金融风控系统中的高可用设计‌技术栈：Nacos+Sentinel+Seata场景：分布式事务与熔断机制实战
2. ‌Kubernetes环境下Java应用自动扩缩容策略‌技术栈：Spring Boot+Helm+HPA场景：电商大促流量峰值应对方案

二、大数据与AI集成

1. ‌Flink实时计算在物流轨迹分析中的优化‌技术栈：Flink+Redis+Kafka场景：亿级数据处理延迟降低方案
2. ‌基于TensorFlow Serving的Java模型服务化‌技术栈：Spring Boot+TF Serving场景：图像识别API性能调优

三、前沿技术探索

1. ‌WebAssembly在Java应用中的性能突破‌技术栈：GraalVM+Emscripten场景：浏览器端Java应用渲染加速
2. ‌量子计算模拟器Java实现与优化‌技术栈：Qiskit+JavaFX场景：量子算法经典化模拟

四、工程实践与性能优化

1. ‌JVM内存泄漏检测工具链构建‌技术栈：Arthas+MAT+Prometheus场景：线上服务OOM问题定位
2. ‌Java协程在IO密集型应用中的实践‌技术栈：Loom Project+Netty场景：高并发长连接服务优化

五、安全与合规

1. ‌国密算法在Java金融系统中的迁移方案‌技术栈：Bouncy Castle+Spring Security场景：SM2/SM4算法合规改造
2. ‌零信任架构下的Java微服务认证体系‌技术栈：OAuth2.1+JWT+SPIFFE场景：多云环境身份认证设计

六、工具链与DevOps

1. ‌GitOps模式下的Java应用部署流水线‌技术栈：ArgoCD+Flux+Jenkins场景：K8s集群声明式部署实践
2. ‌Java字节码增强框架在AOP中的创新应用‌技术栈：ASM+Byte Buddy场景：无侵入式日志增强方案

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