A flexible multi-layer Go caching library to deal with in-memory and shared cache by adopting Cache-Aside pattern.
A low-latency LRU approximation cache in C++ using CLOCK second-chance algorithm. Multi level cache too. Up to 2.5 billion lookups per second.
easy-cache 是一个基于 Spring Boot 的高性能多级缓存框架，整体基于RocksCache思想，提供简单易用的注解式缓存操作。该框架支持 Redis 集群缓存和本地二级缓存，具备多级缓存动态升降级、容错机制、缓存穿透防护、弹性过期、最终一致性保障等高级特性。开发人员在开发需求时不需要额外编写代码保证一致性、穿透、雪崩、宕机问题，只需要在注解设置对应策略即可。
Simple examples of object oriented design.
通用的微服务后台管理系统模板；技术栈 SpringCloudAlibaba + Nacos + OpenFeign + Gateway + SpringSecurity + MyBatisPlus + Redis + Oracle/MySQL；支持多数据源、多级缓存、动态线程池、MQ 等
孵化中...
XperienceCommunity.FusionCache integrates with FusionCache to provide a Hybrid Caching solution within Xperience by Kentico
Simulating the cache metadata (valid, dirty, tag bits) and logic of instruction and data caches
基于装饰器模式实现的多层缓存系统，支持内存、文件、本地与远程缓存组合，提升缓存命中率，简化缓存管理逻辑 | A layered caching system built with the decorator pattern. Supports combining memory, file, local, and remote caches to improve hit rates and simplify cache logic
A high-performance 'like' service backend built with Spring Boot 3. Designed for high concurrency using Redis, Apache Pulsar (MQ), and multi-level caching (Caffeine + HeavyKeeper). This repository demonstrates three different architectural patterns for building a robust, asynchronous, and high-throughput system.
A Golang multi-level caching framework based on Redis and local memory for distributed scenarios.
High-Performance Hotel Search Engine implementing Advanced Backend Patterns: Dynamic Type-Safe Queries (QueryDSL), Multi-Level Caching (L1/L2), Full Observability (OpenTelemetry/Jaeger), and Kubernetes Orchestration.
A simple multi-layered cache pub sub redis implementation
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