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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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SLEX NEWS

@slex_io · Post #74 · 08/04/2023, 12:32 PM

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SLEX NEWS

@slex_io · Post #84 · 09/02/2023, 09:32 AM

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🚀 SLEX Hits $10M Daily Trading Volumes Just 3 Days In! 🚀 📈Get ready to witness history in the making! Just three days after the official launch of the SLEX exchange, we're thrilled to announce an incredible milestone: our daily trading volumes have soared to an impressive 10 000 000 USDT!📊 ❤️The energy and enthusiasm from traders and investors like you have propelled us to new heights. This phenomenal achievement underscores our platform's immense potential and our community's unwavering support!🌈 🤝We invite you to join SLEX platform, deposit your account, and enjoy zero-spread trading on the spot market! #SLEX#CryptoTrading#zerospread#SLEXtrading Email | Telegram | Reddit | Facebook | Instagram | Medium | Linkedin | Twitter

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