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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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Addis Standard

@addisstandardeng · Post #21595 · 03/03/2026, 03:29 PM

Grand #Ethiopian Renaissance Dam: how #Africa’s largest hydropower project Is powering #Ethiopia’s future A detailed examination of the Grand Ethiopian Renaissance Dam – its construction, specifications, commissioning, regional impact, and remaining challenges. The Grand Ethiopian Renaissance Dam (#GERD) is the largest hydropower project in Africa. Located on the #Blue_Nile in Ethiopia’s #Benishangul-Gumuz region, about 14km from the Sudanese border, the project has been delivered by Ethiopian Electric Power (#EEP) with major civil works undertaken by #Webuild Group (formerly #Salini Impregilo). The objective of the dam is to increase Ethiopia’s electricity generation capacity, reduce dependence on imported energy, and support long-term industrial and economic development. Construction began in 2011, and Ethiopia officially inaugurated...... Read more: https://www.waterpowermagazine.com/analysis/grand-ethiopian-renaissance-dam-how-africas-largest-hydropower-project-is-powering-ethiopias-future/?cf-view