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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…

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…

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