An efficient multi-layered caching system for .NET
-
Updated
Jul 21, 2026 - C#
An efficient multi-layered caching system for .NET
Telegram bot для отслеживания обновлений по ссылкам
AI-Powered Continuous Repository Health Analysis & Developer Intelligence Platform
Employee Attendance REST API built with Node.js, Express, Redis, MySQL, and Bull Queue. Features Clean Architecture, session management, real-time tracking, background job processing, and production NGINX configuration. Build for learning purpose.
A robust order management system built with Go featuring automated order lifecycle tracking, Redis caching, JWT authentication, and real-time status progression. Includes comprehensive API endpoints, admin controls, and Docker deployment.
Easy ASGI/FastAPI endpoint rate limiter integration as middleware with Redis caching.
This project is a multi-tenant menu example project
Real-time flight delay prediction system featuring XGBoost models, SHAP Explainable AI (XAI), Redis caching, Flask-SocketIO WebSockets, dynamic database fallbacks (PostgreSQL/SQLite), and MLOps data drift monitoring. Built with Flask, React, and Dash.
📈 Smart tender aggregator supporting caching, indexing, searching and matching tenders (ZavodIT hackathon winner)
This repository demonstrates a stateless Node.js server using Redis for state management and JWT for authentication.
A full-stack MERN application featuring authentication, user profiles, and a task management system with modern UI/UX, built using MongoDB, Express, React, and Node.js
Awesome Remote Dictionary Server
This project integrates an LLM chatbot with document loading and caching capabilities, allowing users to engage in AI-powered conversations while fetching relevant documents from the web or local directories.
This repository demonstrate a backend-only TypeScript project illustrating how to implement Redis caching with PostgreSQL and Drizzle ORM.
🚦 Implement fast and simple rate limiting for FastAPI using Redis with auto-generated routes for seamless integration and efficient performance.
A high-performance, enterprise-grade Spring Boot application designed for scalable URL shortening. This project implements a Microservices architecture pattern, utilizing Redis for high-speed caching and rate limiting, RabbitMQ for asynchronous decoupling of the email service, and Docker for containerized deployment.
In this project I have implemented the redis for caching and improving application performance
Add a description, image, and links to the redis-caching topic page so that developers can more easily learn about it.
To associate your repository with the redis-caching topic, visit your repo's landing page and select "manage topics."