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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 #64964 · 04/10/2026, 12:30 PM

🚀 Jamie Dimon Warns of Rising U.S. Debt Risks and Global Deficits Jamie Dimon has expressed concerns over the increasing risks associated with U.S. debt. According to NS3.AI, Dimon referenced a Congressional Budget Office forecast predicting that the debt-to-GDP ratio will escalate from the current 100% to 120% by 2036. He highlighted that global deficits are currently at 5%, despite the relatively healthy state of the global economy. Dimon also cautioned that a future downturn in the credit cycle could lead to higher-than-anticipated losses in leveraged lending. #USDebt#GlobalDeficits#DebtToGDP#CreditRisk#LeveragedLending#EconomicForecast