Skip to content

Blog by Rahul Mittal

Connecting People, Ideas & Technology.

Category: spring

  • Home
  • programming
  • spring
  • java
  • JavaEvolutionSeries
  • programming
  • spring

This is the article where everything you’ve learned over the last few parts comes together.

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

Notice the progression of Java's evolution: Java 12 → Switch Expressions Java 14 → Records Java 16 → Pattern Matching for instanceof Java 17 → Sealed Classes Java 21 →…

  • java
  • JavaEvolutionSeries
  • microservices
  • programming
  • spring

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…

  • java
  • JavaEvolutionSeries
  • programming
  • spring

Part 18: UUID Best Practices – Java, Oracle, Hibernate, Microservices & Performance

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

Introduction Every enterprise application needs a way to uniquely identify its data. For many years, relational databases relied on auto-generated numeric identifiers: 1 2 3 4 5 These identifiers work…

  • java
  • JavaEvolutionSeries
  • programming
  • spring

Part 17: Spring Boot, Hibernate, Jackson & REST – End-to-End Date & Time Handling in Enterprise Applications

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

Introduction So far in this series, we've learned: Why Java introduced the new Date & Time API. How every java.time class works. Which Java type should be used for different…

  • java
  • JavaEvolutionSeries
  • programming
  • spring

Part 16: Oracle ↔ Java ↔ JPA/Hibernate Mapping Guide – Choosing the Right Data Type for Enterprise Applications

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

Introduction Every enterprise application stores dates and timestamps. Whether you're building a banking platform, payment gateway, insurance application, e-commerce website, healthcare system, or event management platform, almost every table contains…

  • general
  • java
  • programming
  • spring

Why Refreshing L1 Cache Using a Scheduler is a Bad Idea

  • Rahul Mittal
  • June 23, 2026
  • 5 min read

Building Scalable and Consistent Microservices Caching Architectures Caching is one of the most effective techniques for improving application performance. Modern microservices often implement a multi-level cache architecture: L1 Cache: In-memory…

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…

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…

Posts pagination

1 2 3 Next

Recent Posts

  • Kubernetes Readiness Probes in Spring Boot Microservices: Designing a Production-Ready Health Check
  • How Does UPI Prevent Double-Spending at 15 Billion Transactions a Month?
  • Top 10 Java, Microservices & Kubernetes Interview Questions Every Senior Tech Lead Should Know
  • Part 9 – Why Spring Boot Applications Get OOMKilled in Kubernetes
  • Part 8 – Mastering Configuration in Kubernetes

Categories

  • AI
  • Database
  • feature
  • general
  • interview
  • java
  • JavaEvolutionSeries
  • K8S
  • leadership
  • Metrics
  • microservices
  • Observability
  • programming
  • project management
  • ramittal.com
  • security
  • spring

Recent Comments

  1. Rahul Mittal on Why Refreshing L1 Cache Using a Scheduler is a Bad Idea

Archives

  • August 2026
  • July 2026
  • June 2026
  • May 2026
  • March 2026
  • March 2025
  • January 2025
  • December 2024
Copyright © 2026 Blog by Rahul Mittal Theme: Crystal Blog By Adore Themes.