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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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IngressBeijing

@IngressBeijing · Post #7432 · 11/18/2025, 12:59 AM

XM ANOMALY: HONG KONG 猩猩的算盘已经打到了家门口,目标直指 2026年3月14日! 这一次,我们不玩虚的。让维多利亚港的夜空,只见蓝光,不见绿芒!让 XMP 的爆鸣,成为这座不夜城唯一的 BGM!💥 蓝军的荣耀,需要你来捍卫。别问我为什么跪着看海报,问就是已经燃起来了! 👉 立即加入吧! [https://t.me/+9-BJ9byEvhk0YTE1] #Ingress#XMAnomaly#Resistance#HongKong#让世界变蓝