How Uber Scaled Data Replication to Move Petabytes Every Day
Uber prioritizes a reliable data lake, which is distributed across on-premise and cloud environments. This multi-region setup presents challenges for ensuring reliable and timely data…
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Rust at Scale: An Added Layer of Security for WhatsApp
WhatsApp has adopted and rolled out a new layer of security for users – built with Rust – as part of its effort to harden…
Apache Hudi™ at Uber: Engineering for Trillion-Record-Scale Data Lake Operations
Check out this deep dive into how Uber runs Apache Hudi™ at extreme scale—handling trillions of records, petabytes of data, and high-concurrency table services across…
Adapting the Facebook Reels RecSys AI Model Based on User Feedback
We’ve improved personalized video recommendations on Facebook Reels by moving beyond metrics such as likes and watch time and directly leveraging user feedback. Our new…
How Uber Conquered Database Overload: The Journey from Static Rate-Limiting to Intelligent Load Management
🧠 Overload in stateful databases isn’t one-dimensional. See how we built an intelligent load manager that sheds smarter, adapts to diverse signals, and stays fair…
CSS at Scale With StyleX
Build a large enough website with a large enough codebase, and you’ll eventually find that CSS presents challenges at scale. It’s no different at Meta,…
From Monitoring to Observability: Our Ultra-Marathon to a Cloud-Native Platform
Managing a global corporate network at Uber’s scale can feel a bit like running an ultra-marathon. There are long stretches of smooth sailing, but you’re…
From Monitoring to Observability: Our Ultra-Marathon to a Cloud-Native Platform
Managing a global corporate network at Uber’s scale can feel a bit like running an ultra-marathon. There are long stretches of smooth sailing, but you’re…
Python Typing Survey 2025: Code Quality and Flexibility As Top Reasons for Typing Adoption
The 2025 Typed Python Survey, conducted by contributors from JetBrains, Meta, and the broader Python typing community, offers a comprehensive look at the current state…
DrP: Meta’s Root Cause Analysis Platform at Scale
Incident investigation can be a daunting task in today’s digital landscape, where large-scale systems comprise numerous interconnected components and dependencies DrP is a root cause…
Powering Billion-Scale Vector Search with OpenSearch
Uber powers billion-scale vector search with OpenSearch. Discover the innovative optimizations we designed to boost search efficiency, scalability, and reliability for massive datasets. This post…
How We Built Meta Ray-Ban Display: From Zero to Polish
We’re going behind the scenes of the Meta Ray-Ban Display, Meta’s most advanced AI glasses yet. In a previous episode we met the team behind…
How Uber Indexes Streaming Data with Pull-Based Ingestion in OpenSearch™
Discover how Uber uses OpenSearch™’s streaming ingestion architecture for powerful search, and learn about our contributions to a pull-based ingestion framework in the OpenSearch project.…
Cedar Joins CNCF as a Sandbox Project
Cedar, an open source authorization policy language and SDK, has joined the Cloud Native Computing Foundation (CNCF) as a Sandbox project. CNCF provides a neutral…
How AI Is Transforming the Adoption of Secure-by-Default Mobile Frameworks
Meta’s secure-by-default frameworks wrap potentially unsafe OS and third-party functions, making security the default while preserving developer speed and usability. These frameworks are designed to…