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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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@wangzhuanzhan · Post #33454 · 09/28/2024, 06:10 AM

T-t淘t气q大d侦z探t - 淘气大侦探 Sherlock Gnomes (2018) 直达链接:https://pan.quark.cn/s/81ac74388fa7 #淘气大侦探#Sherlock Gnomes #吉诺密欧与朱丽叶2#糯尔摩斯 #神探福尔摩侏#Gnomeo & Juliet 2 #吉诺密欧与朱丽叶2:夏洛克·糯尔摩斯 #Gnomeo and Juliet 2 #Gnomeo & Juliet: Sherlock Gnomes 链接:https://link3.cc/sf_com #电影#喜剧#美国#10年代

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@wangzhuanzhan · Post #33382 · 09/25/2024, 09:18 AM

T-t淘t气q大d侦z探t- 淘气大侦探 Sherlock Gnomes (2018) (普通话) 直达链接:https://pan.quark.cn/s/1d5860a74198 #淘气大侦探#Sherlock Gnomes #吉诺密欧与朱丽叶2#神探福尔摩侏 #糯尔摩斯#吉诺密欧与朱丽叶2:夏洛克·糯尔摩斯 #Gnomeo & Juliet 2 #Gnomeo and Juliet 2 #Gnomeo & Juliet: Sherlock Gnomes 链接:https://link3.cc/sf_com #电影#喜剧#美国#10年代

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@githubtrending · Post #14721 · 05/19/2025, 12:01 PM

#python#cli#cti#cybersecurity#forensics#hacktoberfest#information_gathering#infosec#linux#osint#pentesting#python#python3#reconnaissance#redteam#sherlock#tools Sherlock is a powerful tool that helps you find social media accounts by username across over 400 networks. It's easy to use and works on many operating systems like macOS, Linux, and Windows. You can install it using methods like `pipx` or Docker, and then simply type the username you want to search for. Sherlock will show you where that username is used on different social media platforms. This tool is useful for gathering information quickly and can be run locally or even online through services like Apify. It saves time and effort in finding accounts across many platforms. https://github.com/sherlock-project/sherlock