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10 Practical Java Interview Programming Exercises with Solutions, Logic and Complexity Analysis
  • interview
  • java
  • programming

10 Practical Java Interview Programming Exercises with Solutions, Logic and Complexity Analysis

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

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
  • interview
  • java
  • programming

Top 50 Java 8 MCQs with Answers and Detailed Explanations

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

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
  • 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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Recent Posts

  • Part 10 – Production Best Practices, Performance Tuning and Enterprise Architecture
  • Part 9 – Transactions, Locking and Concurrency Control
  • Part 8 – Lazy Loading, N+1 Queries and Hibernate Performance Tuning
  • Part 7 – Composite Keys, Embedded IDs and Primary Key Design
  • Part 6 – JPA Relationships and Database Joins

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