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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 #163 · 02/23/2024, 09:21 AM

🤝New Exciting Partnership: SLEX Exchange Has Joined the Syscoin Ecosystem🥳 ☄️We're thrilled to announce that SLEX Exchange is now a member of the Syscoin ecosystem. It supports low-cost transactions, high throughput, and a variety of decentralized finance (DeFi) applications, making it an attractive ecosystem for developers and users alike✨ 📊Joining the Syscoin ecosystem is part of our broader initiative to support a diverse range of blockchains, enhancing the trading experience for our users. We're excited to support the following blockchains, each bringing unique strengths to the table: 🔗Scroll 🔗Zora 🔗Arbitrum 🔗Optimism 🔗zkSync 🔗Linea 🔗Base 🔥Stay tuned for more updates as SLEX will continue to grow and evolve, providing new exciting features for efficient trading! #SLEXExchange#SyscoinEcosystem#BlockchainDiversity#CryptoTrading#Innovation#FutureFinance