JVM, Memory Management & Exception Handling
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…
Year: 2026
Interview Sets for Screening Java Developers
Introduction One of the biggest challenges while interviewing Java developers is maintaining consistency across candidates. Many interviewers ask different questions to different candidates, making comparison difficult. This interview handbook provides:…
10 Practical Java Interview Programming Exercises with Solutions, Logic and Complexity Analysis
Introduction When interviewing Java developers, asking theoretical questions alone is rarely enough. The best interviews combine: Logical reasoning Problem-solving ability Understanding of loops and conditionals Character and string manipulation Collections…
Top 50 Java 8 MCQs with Answers and Detailed Explanations
Introduction Java 8 was one of the most revolutionary releases in Java history. It introduced Functional Programming concepts into Java and added several features that changed the way modern Java…
Exception Handling in Java: From Throwable to Global Exception Handling in Spring Boot
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
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
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
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)
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…