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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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以太坊区块链新闻| ETH 以太币圈热瓜

@ethereumglobalnews · Post #889 · 10/10/2025, 06:58 AM

🇺🇸📊 以太全球新聞 📆 2025-10-10 EthereumGlobalNews 📊 ETF 市場動態 🗽👀#SOL#ETF Bitwise 已修訂其 Solana ETF 申請,正式在基金名稱中加入「Staking」,並公開相關費用。該 ETF 將收取 0.20% 的管理費,前 三個月 以及首 10 億美元 資產管理規模內 免收費用。 #SOLStakingETF#Bitwise#ETF費用#市場動向觀察