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SET 15 – Default Methods, Static Methods and Functional Interfaces
  • interview
  • java
  • programming

SET 15 – Default Methods, Static Methods and Functional Interfaces

  • Rahul Mittal
  • June 19, 2026
  • 8 min read

Java 8 introduced one of the most important changes to interfaces: Default methods Static methods inside interfaces Multiple inheritance conflict resolution Functional interfaces Method references Date-Time API Lambda exception handling…

JVM, Memory Management & Exception Handling
  • interview
  • java
  • programming
  • spring

JVM, Memory Management & Exception Handling

  • Rahul Mittal
  • June 19, 2026
  • 8 min read

MCQs Q1. Which JVM memory area stores objects? A. Stack B. Heap C. Method Area D. Program Counter Q2. What is Garbage Collection? A. Memory Allocation B. Memory Cleanup of…

Exception Handling in Java: From Throwable to Global Exception Handling in Spring Boot
  • java
  • programming

Exception Handling in Java: From Throwable to Global Exception Handling in Spring Boot

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

Introduction Exception handling is one of the most fundamental concepts in Java. Every Java developer uses exceptions daily, yet many developers struggle to explain: Why exceptions exist Difference between Exception…

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,…

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