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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 #65040 · 04/10/2026, 03:26 PM

🚀 Quantum Threats Are Real but Not Immediate, Experts Say Quantum computing poses a genuine threat to current cryptographic systems, but it is not an immediate concern. According to PANews, understanding which cryptographic components will be affected and how the industry plans to transition is crucial. Experts emphasize the importance of identifying vulnerable areas and preparing for a gradual migration to quantum-resistant technologies. The focus should be on strategic planning and readiness to ensure security in the face of future quantum advancements. #QuantumComputing#Cryptography#CyberSecurity#QuantumThreats#QuantumResistant#TechPlanning#FutureTechnology