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Quickstart: Use Azure Cache for Redis in Java with Jedis Redis client

In this quickstart, you incorporate Azure Cache for Redis into a Java app using the Jedis Redis client. Your cache is a secure, dedicated cache that is accessible from any application within Azure.
GitHub

LRU Cache Implementation in Java

This project implements a Least Recently Used (LRU) cache from scratch in Java. An LRU cache is a data structure that maintains a fixed-size collection of key-value pairs, automatically evicting the ...
GitHub

Multi-Level Cache System in Java

This repository contains a dynamic multilevel cache system implemented in Java. The system supports both LRU (Least Recently Used) and LFU (Least Frequently Used) eviction policies, allowing multiple ...
InfoWorld

Red Hat’s Java cache move sparks standards spat

If implemented in the next version of JEE (Java Enterprise Edition), Red Hat’s specification could reduce the need for separate Java distributed caches, such as Oracle’s Coherence, VMware’s GemStone ...
InfoWorld

Use Memcached for Java enterprise performance, Part 1: Architecture and setup

Developed by Danga Interactive to improve site performance on LiveJournal.com, Memcached‘s distributed architecture today supports the exponential scalability of social web applications like Twitter, ...
InfoQ

Memcached surpasses EhCache and Coherence in Java Job Demand

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Lily Mara explains how to avoid high-risk ...
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Quickstart: Use Azure Cache for Redis in Java with Jedis Redis client

The cache name must be a string between 1 and 63 characters when combined with the cache's region name that contain only numbers, letters, or hyphens. (If the cache name is fewer than 45 characters ...