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.

ASP.NET Core Web API demonstrating the cache-aside pattern using Redis and Elasticsearch

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

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

Caching based on cache aside strategy (write on miss) 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.

Blazor frontend for Clean Architecture/Modular Monolith backends.

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

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