AI for Java Architects – Part 4
Building Your First RAG Application Using Spring AI "Theory teaches concepts. Projects teach engineering." Introduction In the previous articles we learned: Part 1 LLMs Tokens Transformers Part 2 Embeddings Vector…
Tag: spring
AI for Java Architects – Part 3
Retrieval Augmented Generation (RAG): Building AI Systems That Know Your Data "The most valuable enterprise AI systems are not trained on the internet. They are built on your organization's knowledge."…
AI for Java Architects – Part 2
Tokens, Embeddings and Vector Databases for Java Developers "Databases store data. Vector databases store meaning." Introduction In the previous article, we learned: What an LLM is. How transformers work. Tokens…
Building a Pluggable Multi-Level Cache Library for Spring Boot Microservices (EhCache + Redis/GemFire)
Introduction As organizations move toward microservices, caching becomes a critical component for performance, scalability, and cost optimization. Unfortunately, many teams implement caching differently: Different cache providers Different key conventions Different…
Redis vs GemFire vs EhCache: Choosing the Right Caching Strategy for Spring Boot Microservices
Introduction Caching is one of the most effective techniques for improving application performance. However, choosing the right caching technology can be challenging. Many development teams start with local in-memory caching…
Building High-Performance Distributed Caching with Apache Geode (GemFire) in Spring Boot
Introduction As enterprise applications scale, databases often become the primary bottleneck. Frequently accessed data such as customer profiles, product catalogs, pricing information, configuration settings, and reference data are repeatedly fetched…
Building High-Performance Distributed Caching with Redis in Spring Boot
Introduction Modern applications often retrieve the same data repeatedly from databases. Product information, customer profiles, configuration settings, and reference data are commonly accessed by multiple users and services. Without caching,…
How Spring Boot Handles Concurrent Requests: Platform Threads vs Virtual Threads Explained
What really happens when 10,000 users hit your Spring Boot API simultaneously? Does Spring Boot create 10,000 threads? Does Tomcat queue requests? And can Java Virtual Threads genuinely change backend…