#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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Сколько времени вы проводите в соцсетях?🧐
Кажется, скоро будем проводить еще больше, ведь в июле появилась новая сеть #Threads, которую все называют аналогом #Twitter.
💼Некоторые бренды уже начали использовать новый инструмент в работе. Оставляйте комментарии, мы соберем подборку ваших мнений в наш канал в Дзене.
Как вы оцениваете запуск новой социальной сети Threads? Будете ли использовать в работе? И как?
Meta 旗下社交媒体 Threads 移动端日活超越 X 平台,网页端差距悬殊揭示社媒格局新变化
Similarweb报告显示,Threads移动端日活达1.415亿,已超越X平台。Threads的增长得益于Meta的交叉推广与功能完善;而X平台受AI争议及监管调查影响,美国日活大幅下滑。尽管X在网页端仍具绝对优势,但其领先地位正被削弱,Threads正逐渐成为主流社交工具。
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