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Series: Building Enterprise-Grade Self-Healing Java Microservices "Every distributed system eventually fails. The difference between a good system and a great system is not whether failures occur—but whether users ever notice…
A Complete Enterprise Learning Series for Spring Boot Developers "Writing microservices that work is easy. Writing microservices that continue working when everything around them fails is engineering." Introduction Modern enterprise…
A Complete Enterprise Learning Series for Spring Boot Developers "Writing microservices that work is easy. Writing microservices that continue working when everything around them fails is engineering." Introduction Modern enterprise…
Introduction Object-Oriented Programming is built around inheritance. For decades, Java allowed any class to extend another class unless it was declared final. This gave developers only two choices: Open for…
Introduction In the previous articles, we built a reusable caching library that provides: L1 Cache using EhCache L2 Cache using Redis or GemFire Distributed Locking Cache Stampede Protection Cache Warming…
Introduction Caching is one of the most effective ways to improve application performance. Whether you are using EhCache, Redis, GemFire, or a multi-level caching strategy, one challenge remains consistent across…
Introduction In the previous article, we built a reusable caching library that provides: L1 Cache using EhCache L2 Cache using Redis or GemFire Strategy Pattern based provider selection Kafka and…
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…
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…
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…
