Ram·4d agoRedis with Spring Boot: The Practical Guide I Wish I Had EarlierCaching, TTL, Serialization, Cache Eviction, and the Production Mistakes Developers Usually Discover Too Late
Anupam Sinha·Sep 15Distributed Locking: 5 Approaches Compared (Redis, ZooKeeper, DB, ShedLock, Hazelcast)A deep comparison of distributed lock implementations with benchmarks, failure modes, production war stories, and Spring Boot code for each…
Arvind Kumar·Jun 21System Design Interview: How Would You Implement an API Rate Limiter in a Distributed Environment?Rate limiting is one of those topics that sounds deceptively simple.A response icon9
InJavarevisitedbyRitansh Bagal·1d agoHow I Made My Spring Boot APIs 5x Faster With Caching7 Spring Boot caching techniques using Caffeine and Redis to reduce API latency, database load, and improve performance.
Arvind Kumar·Jun 30System Design Interview: How Would You Design a Real-Time Leaderboard for Millions of Users?Leaderboards look deceptively simple.A response icon9
Gulsaba Fiha·4h agoYour Database Is Not Your Application State: A Practical Guide to Distributed StateAt the beginning of your backend journey, life is wonderfully simple.
Dinakaran·4h agoDesigning a Distributed Rate Limiter — System Design Case StudyModern applications expose APIs to millions of users. Without protection, a single client can send thousands or even millions of requests…
Manish Prasad·20h agoRedis Caching in Node.js, Part 2: Invalidation That Doesn’t LieFour invalidation strategies, the race each one leaves open and a wrapper you can copy
Md. Ariful Islam·21h agoRedis — Understand its Fundamentals and Mental ModelRedis stands for Remote Dictionary Server. Redis is an open-source, in-memory database that stores data as key-value pairs. In-memory…
Everything is MindGame·1d agoBeyond GET and SET: How to Design a Distributed Redis Cache at ScaleCaching is one of the simplest ideas in system design:
