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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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Crypto M - Crypto News

@CryptoM · Post #65390 · 04/13/2026, 04:28 AM

🚀 Iranian Lawmaker Deletes Post on U.S. Demands in Nuclear Talks Saeed Mahmoud Nabavian, an Iranian lawmaker engaged in discussions between the U.S. and Iran, recently shared and subsequently removed a social media post detailing three demands from the United States. According to NS3.AI, the deleted message outlined the U.S. requests for joint sharing of benefits from the Strait of Hormuz, the removal of all uranium enriched to 60% from Iran, and a 20-year prohibition on uranium enrichment. The post's removal has sparked speculation about the ongoing negotiations and the potential implications for regional stability. #Iran#US#NuclearTalks#StraitOfHormuz#UraniumEnrichment#MiddleEast#Diplomacy#InternationalRelations#RegionalStability