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Source channel @githubtrending · Post #14772 · Jun 1

#cplusplus#cache#cpp#database#fibers#in_memory#in_memory_database#key_value#keydb#memcached#message_broker#multi_threading#nosql#redis#valkey#vector_search Dragonfly is a modern in-memory data store compatible with Redis and Memcached, offering up to 25 times higher throughput and better cache efficiency while using up to 80% fewer resources. It scales well with larger servers, supports many Redis commands, and features a unique, memory-efficient cache and fast snapshotting. Dragonfly provides low latency, high performance, and is easy to configure with familiar Redis options. Its design ensures atomic operations and efficient resource use, making it ideal for fast, cost-effective cloud applications needing real-time data access and high scalability. This means you get faster, more efficient caching and data handling with minimal changes to your existing setup[5][2][4]. https://github.com/dragonflydb/dragonfly

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@tribebrook · Post #469 · 10/04/2025, 03:47 PM

#Mac#清理#GitHub#CleanMyMac#Lemon 🦡 像鼹鼠一样深入挖掘来清理您的 Mac 一;亮点 🐦深度系统清理- 一次性删除隐藏的缓存、日志和临时文件 📦彻底卸载- 清理了 22 个以上位置,而标准卸载只有 1 个,优于 CleanMyMac/Lemon ⚡️快速且轻量- 基于终端,零膨胀,带分页的箭头键导航 🧹海量空间恢复- 回收 100GB 以上的浪费磁盘空间 二;安装 curl -fsSL curl -fsSL https://raw.githubusercontent.com/tw93/mole/main/install.sh | bash 或者通过 Homebrew: brew install tw93/tap/mole GitHub地址:官方 🔔提示:限免,兑换码具有时效性,打开本频道通知,第一时间获取全网资讯!!! 🏠本消息Via:小小溪 📰群组:homeBrook 📢频道:Home_brook 🤖其他问题(投稿)请Bot:@xia0_bot