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Part 35: Java 17 (LTS) – Sealed Classes – Designing Safer Domain Models for Enterprise Applications

  • Rahul Mittal
  • July 4, 2026
  • 5 min read

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…

Building an Annotation-Driven Enterprise Cache Framework for Spring Boot Microservices
  • java
  • microservices
  • programming
  • spring

Building an Annotation-Driven Enterprise Cache Framework for Spring Boot Microservices

  • Rahul Mittal
  • June 17, 2026
  • 5 min read

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…

Cache Invalidation in Distributed Spring Boot Microservices: Spring Events vs Kafka vs Redis Pub/Sub
  • java
  • microservices
  • programming
  • spring

Cache Invalidation in Distributed Spring Boot Microservices: Spring Events vs Kafka vs Redis Pub/Sub

  • Rahul Mittal
  • June 17, 2026
  • 6 min read

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…

Extending the Platform Cache Library: Distributed Locking, Cache Warming and Cache Stampede Protection
  • java
  • microservices
  • programming
  • spring

Extending the Platform Cache Library: Distributed Locking, Cache Warming and Cache Stampede Protection

  • Rahul Mittal
  • June 17, 2026
  • 6 min read

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…

Building a Pluggable Multi-Level Cache Library for Spring Boot Microservices (EhCache + Redis/GemFire)
  • java
  • microservices
  • programming

Building a Pluggable Multi-Level Cache Library for Spring Boot Microservices (EhCache + Redis/GemFire)

  • Rahul Mittal
  • June 17, 2026
  • 6 min read

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
  • java
  • microservices
  • programming
  • spring

Redis vs GemFire vs EhCache: Choosing the Right Caching Strategy for Spring Boot Microservices

  • Rahul Mittal
  • June 17, 2026
  • 5 min read

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
  • java
  • microservices
  • programming

Building High-Performance Distributed Caching with Apache Geode (GemFire) in Spring Boot

  • Rahul Mittal
  • June 17, 2026
  • 6 min read

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
  • java
  • microservices
  • programming

Building High-Performance Distributed Caching with Redis in Spring Boot

  • Rahul Mittal
  • June 17, 2026
  • 5 min read

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,…

Building a Pluggable Distributed Cache Library for Spring Boot Microservices Using EhCache and Redis
  • java
  • microservices
  • programming

Building a Pluggable Distributed Cache Library for Spring Boot Microservices Using EhCache and Redis

  • Rahul Mittal
  • June 17, 2026
  • 6 min read

Introduction As organizations scale their Spring Boot microservices on Kubernetes, caching becomes a critical component for performance and cost optimization. While EhCache works well for single-node deployments, it introduces cache…

Building Event-Driven Microservices with Spring Cloud Function: From Java 8 Functional Interfaces to Cloud-Native Applications
  • java
  • microservices
  • programming
  • spring

Building Event-Driven Microservices with Spring Cloud Function: From Java 8 Functional Interfaces to Cloud-Native Applications

  • Rahul Mittal
  • June 14, 2026
  • 7 min read

Description / Meta Description Learn how Java 8 Functional Interfaces such as Function, Consumer, Supplier, Predicate, BiFunction, and BiConsumer evolved into the foundation of modern cloud-native microservices. Understand how Spring…

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