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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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EKOLOG.UZ| ENG

@ekologuzenglish · Post #10273 · 11/10/2025, 01:01 PM

As we approach the #COP30 summit in Brazil, let’s explore some key facts about climate change together. Each number from 1 to 30 highlights an important theme — covering areas such as energy, adaptation, finance, nature, gender equality, health, and justice. At a time when climate-related misinformation is rapidly increasing, the #ClimateCounts initiative helps improve climate literacy — empowering individuals and communities to take bolder climate action and demand stronger commitments. See them all here: https://feature.undp.org/climate-counts/ #ClimateAction#ClimateCounts ☘️Read the latest environmental news on the @ekologuz page. Follow us and send your suggestions and wishes via @eklguz_bot Instagram | Facebook | Twitter | Sayt | Youtube.