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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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FC Bayern English

@FCBayernEN · Post #223981 · 01/28/2026, 02:56 PM

FC Bayern (Instagram) Quick 𝒂𝒄𝒕𝒊𝒗𝒂𝒕𝒊𝒐𝒏 before #PSVFCB🏃

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FC Bayern English

@FCBayernEN · Post #223977 · 01/28/2026, 02:55 PM

FC Bayern (Instagram) ✨ Ready for #PSVFCB❓ Here are the stats and info ahead of our away game against PSV Eindhoven! ✨

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FC Bayern English

@FCBayernEN · Post #223990 · 01/28/2026, 02:56 PM

FC Bayern (Instagram) 𝑰𝒎𝒑𝒓𝒆𝒔𝒔𝒊𝒐𝒏𝒔 𝒇𝒓𝒐𝒎 𝑬𝒊𝒏𝒅𝒉𝒐𝒗𝒆𝒏! 📸🚲🇳🇱#UCL#PSVFCB

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FC Bayern English

@FCBayernEN · Post #224081 · 01/29/2026, 10:53 PM

FC Bayern (TikTok) Jamal 𝒉𝒂𝒑𝒑𝒚 = Alle 𝒉𝒂𝒑𝒑𝒚 🥰 Alle weiteren Interviews nach #PSVFCB seht ihr auf FC Bayern TV PLUS: Link in der Bio! 💬#FCBayern#Musiala