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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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@abmedia_news · Post #24539 · 05/12/2026, 09:00 AM

【💰 人物觀點|大賣空 Burry:AI 熱潮神似 2000 年網路泡沫,投資人應提高現金水位】 #MichaelBurry#AIBubble#SOX 麥克貝瑞近日透過 CNBC 示警,半導體與權值股的拋物線漲勢已進入極端風險。 他指出 SOX 軌跡與 1999 年至 2000 年驚人吻合,建議減輕持股以因應潛在崩盤。即便大盤無視戰火頻創新高,他強調冷靜避開終將到來的大規模價格修正。 📍閱讀全文: https://abmedia.io/michael-burry-ai-dotcom-bubble 📍 訂閱鏈新聞頻道:https://linktr.ee/abmedia.io