A flexible multi-layer Go caching library to deal with in-memory and shared cache by adopting Cache-Aside pattern.

A lightweight high-performance distributed two-level cache (in-memory + redis) with loader function library for Go.

🐘 PHP技巧

Microservices architecture, event driven architecture, CQRS, event sourcing, clean architecture, containerisation, distributed caching, cache-aside pattern, unit tests

Sample application written in Java (JDK 21, Spring Boot, Redis OM Spring) that implements a hybrid search strategy (Full-Text Search and Vector Similarity Search) to allows for movies search.

Hands-on workshop to learn how to implement hybrid search Java, Spring Boot, and Redis

Cache-Aside demo using Redis Enterprise and RDBMS TestContainers

Implementing cache-aside in Go with the Decorator pattern.

Spring Boot backend demonstrating Redis cache-aside with MySQL, manual RedisTemplate caching, TTL, and proper cache invalidation.

Cache-Aside Pattern example using Redis.

A production-style backend inspired by Spotify supporting playlist CRUD and recommendation strategies. Built with FastAPI and Redis, it showcases cache-aside caching, token bucket rate limiting, and design patterns like SOLID, Strategy, and Observer, focusing on scalability, performance, and clean architecture.

Caching based on cache aside strategy (write on miss) using Redis

Blazor frontend for Clean Architecture/Modular Monolith backends.

Advanced Redis caching patterns for NestJS with decorators, stampede prevention, and metrics

Cache-Aside pattern implementation using aspnet output caching for a sample Weather forecast application

Project created with the aim of training the implementation of cache-aside logic using Redis.

OAuth 2.0 기반의 로그인과 토큰 수명주기(발급·검증·갱신·폐기)를 전담하는 서비스로, Django REST Framework의 강점을 활용해 보안을 최적화했고, Redis 기반 Cache‑Aside 패턴을 적용해 지연과 부하를 크게 줄인 서비스

A high-performance Spring Boot caching service with intelligent cache invalidation strategies. Features cache-aside pattern, automatic invalidation, TTL-based expiration, and comprehensive performance monitoring. Designed for microservices architecture and high-traffic applications requiring optimal data retrieval performance with consistency.

Redis is a powerful tool for caching data in memory, which can increase application benchmark when consuming