The promise of cloud gaming is a promise to democratize gaming. Anyone who loves games should be able to enjoy them and share the experience with their friends, no matter where they’re located, and even if they don’t have the latest, most expensive gaming hardware. Facebook launched its cloud gaming platform in 2020 to give anyone on Facebook instant access to native Android and Windows games across every screen and web browser.

Creating the unprecedented access offered by cloud gaming required engineers at Meta to rise to new challenges and develop a growing hardware infrastructure capable of delivering quality game experiences to people all over the world.

But gaming itself is also evolving. From new 3D experiences like AR and VR to what will eventually become the metaverse, people all over the world want to play increasingly immersive games as seamlessly and easily as possible. While it will take a massive effort across the industry to bring the metaverse to fruition, we believe creating the infrastructure and solving the challenges of cloud gaming are pointing us toward solutions for the metaverse as well.

When it comes to cache invalidation, we believe we now have an effective solution to bridge the gap between theory and practice.

Introducing Zelos, a feature- and performance-compatible implementation of ZooKeeper on Delos.

Language packs for Android and iOS enable us to provide a high-quality user experience that’s localized for people around the world.

Delta leverages chain replication as an approach to coordinate clusters of fail-stop storage servers.

This blog focuses on Cinder's JIT compiler and its new function inliner and how it helps us speed up our production application on Instagram.

Anonymous Credential Service (ACS) is a core service that allows clients to maintain a form of authentication while de-identifying users.

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。

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

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.

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

Instagram如何使用RACI模型来做决策和提高透明度。

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

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。

facebook如何设计机器学习驱动Feed排名系统的细节