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关联话题: Facebook、脸书、instagram

Meta Platforms, Inc.(商业名称:Meta)是美国一家经营社交网络服务、虚拟现实、元宇宙等产品的互联网科技公司,总部位于美国加州门洛帕克,旗下拥有Facebook、Instagram、WhatsApp等社交软件。它是由马克·扎克伯格和他的室友、哈佛学院的学生爱德华多·萨维林、安德鲁·麦科勒姆、达斯廷·莫斯科维茨和克里斯·休斯一起创立的,最初的名字是TheFacebook.com,后简化为Facebook,后于2021年10月28日由扎克伯格宣布改名为Meta。

Meta提供社交网络服务之外的其他产品和服务,包括Facebook Messenger、Facebook Watch和Facebook Portal,之后陆续收购了Instagram、WhatsApp、Oculus、Giphy和Mapillary,并持有Jio Platforms9.9%的股份。

Meta是全球最有价值的公司之一,与微软、亚马逊、苹果和Alphabet一起被认为是五大科技公司之一。

最大的风险就是不冒任何的风险|对话Facebook创始人Mark Zuckerberg

创业之所以极具魅力在于充满着极大的不确定性,但我们始终着眼未来。

Autonomous testing of services at scale

We've built a new autonomous testing extension on top of our integration testing infrastructure to encourage quick iteration.

Superpack: Pushing the limits of compression

Managing app size at Facebook is a unique challenge: Every day, developers check in large volumes of code, and each line of code translates into additional bits in the apps that people ultimately download onto their phones. Left unchecked, this added code would make the app bigger and bigger until eventually the time it takes to download would become unacceptable. Compression is one of the methods we use to keep app size minimal. These compressed files take up less space, which means smaller apps that download faster and use less bandwidth for billions of users around the world. Such savings are especially important in regions where mobile bandwidth is limited, making it costly to download large apps. But compression alone isn’t enough to keep pace with all the updates we make and features we add to our apps. So we developed a technique called Superpack, which combines compiler analysis with data compression to uncover size optimizations beyond the capability of traditional compression tools. Superpack pushes the limits of compression to achieve significantly better compression ratios than existing compression tools.

ZippyDB: Facebook's key value store

Zippy DB: How Facebook built its general purpose key value store.

How This Head of Engineering Boosted Transparency at Instagram

Instagram如何使用RACI模型来做决策和提高透明度。

译 | 缓存穿透问题导致Facebook史上最严重事故之一

How a Cache Stampede Caused One of Facebook’s Biggest Outages2010年9月23,这个世界上最大的社交平台项目facebook,遭遇了最严重宕机故障之一,以至于facebook网站4个小时后才恢复运行。

How Facebook encodes your videos

How Facebook uses machine learning and other methods to prioritize video encoding and ensure the best viewing experience for everyone.

FOQS: Scaling a distributed priority queue

Facebook有序队列服务(FOQS)支持异步计算工作负载,大规模服务于许多服务。

News Feed ranking, powered by machine learning

facebook如何设计机器学习驱动Feed排名系统的细节

6 Counterintuitive Rules for How to be a Good Manager — Advice from Lambda School, Quip & Facebook

Want to be a better manager? Lean on this startup leader's counterintuitive rules for how to be a good manager.

全球主流社交媒体算法解析:Facebook、YouTube、Twitter等平台如何利用算法推荐内容?

社交媒体算法正在成为你所做的所有事情的核心,它们是如何影响你的?

Throughput autoscaling: Dynamic sizing for Facebook.com

Throughput autoscaling estimates a service’s capacity requirements based on the amount of work that the service needs to perform throughout the day.

Fault tolerance through optimal workload placement

How optimal workload placement allows our systems to tolerate sub-data center faults.

如何应用防错原则,看看 Facebook 和 Gmail 是怎么做的

在用户界面(UI)设计中,重要的是要注意最细微的细节,以使用户的体验愉悦而难忘。在这里,你将学习如何使用防错

Facebook 产品设计 VP:人人都能用的「战略思维」指南

不去弄懂什么是战略思维,它就会离你越来越远。

Five things I learned about working on content quality at Instagram

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