TGTGInsighttelegram intelligenceLIVE / telegram public index
Back to channels
GitHub Trends avatar

TGINSIGHT CHAT

GitHub Trends

@githubtrending

Technologies

See what the GitHub community is most excited about today. A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel. Author and maintainer: https://github.com/katursis

Subscribers1.0万Current channel subscribers
Tracked posts1,000Indexed post count
Recent reach472Sum of recent post views
Recent posts

Recent posts

Tag: #in_memory · 1 posts

当前筛选 #in_memory清除筛选

Posted 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

472 views