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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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@kejiqu · Post #4116 · 01/31/2026, 01:44 AM

有人将 Apple 最令人恼火的 bug 变成了浪费人类时间的计分板 一个新网站将 Apple 最为持久的软件 bug 转化为一个幽默的计分板,利用夸张的数学计算来估算这些 bug 造成的集体人类时间浪费。该网站旨在以一种轻松的方式呈现 Apple 长期存在的软件问题,并量化其对用户的影响。9to5Mac 🏷#Apple#bugs#scoreboard#wasted#time 📢频道👥群组📝投稿