caching-memory

Build real-time apps (Blazor included) with less than 1% of extra code responsible for real-time updates. Host 10-1000x faster APIs relying on transparent and nearly 100% consistent caching. We call it DREAM, or Distributed REActive Memoization, and it's here to turn real-time on!

A "blazingly fast" database caching implementation built using Go & Redis.

Robust, highly tunable and easy-to-integrate in-memory cache solution written in pure Python, with no dependencies.

Caching is a great and simple technique that helps improve your app's performance. It acts as a temporary data store providing high performance data access.

Lightweight cross-process cache server (allows multiple clients)

An application that uses REST API, Django and React to help create notes. Every guest can create an account where all private notes will be placed. Application has implemented login/register/forgot password system.

Implementing In-Memory Cache using Decorator on method, or via angular service.

⭐This is boilerplate .net architecture using for all monolith project with .net core 3.1

Redis - key/value database

Api Model is a ASP.Net Core 5.0 project build for best practices to be followed when building APIs

Simple implementation of using Microsoft.Extensions.Caching.Memory

A Class Library which Simplifies working with redis