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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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Universe Mysteries 🪐

@cosmomyst · Post #507 · 11/19/2025, 12:21 PM

🪐 In the star-forming region W51, astronomers have found “masers”—natural lasers made of microwaves—blasting out intense, focused beams from clouds of water and methanol molecules. These cosmic masers shine thousands of times brighter than any similar emission in our solar system and act like celestial signposts, marking areas where massive new stars are being born within dense, hidden clouds of gas. ✨ #strange⚡#phenomena⚡#maser⚡#starbirth⚡#nasa⚡#galaxy⚡#stars⚡#astronomy⚡#universe⚡#cosmos⚡#space 👉subscribe Universe Mysteries 👉more Channels ​