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Source channel @yunucloud_Channels · Post #25 · Nov 1

#更新 一、订阅流量变更 探索者 Explore 30G 变更为 150G 旅者 Voyager 150G 变更为 750G 远行者 Pathfinder 300G 变更为 1500G 无界者 Infinity 1000G 变更为 5000G 严禁滥用/订阅分享 二、水群积分暂时关闭 这个功能与初衷不符,暂时关闭

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@githubtrending · Post #14772 · 06/01/2025, 12:00 AM

#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