Blog

We’re sharing Tulip, a binary serialization protocol supporting schema evolution.  Tulip assists with data schematization by addressing protocol reliability and other issues simultaneously.  It replaces multiple legacy formats used in Meta’s data platform and has achieved significant performance and efficiency gains. There are numerous heterogeneous services, such as warehouse data storage and various real-time systems,… Continue reading Tulip: Schematizing Meta’s data platform

In our constant quest to prioritize efficiency, Instagram’s engineers have developed a way to process new videos that reduces the cost to produce basic video encodings by 94 percent. With this method in place, Meta’s video infrastructure can continue to scale without needing to add more machines. This frees up resources so more people can… Continue reading Reducing Instagram’s basic video compute time by 94 percent

We’re sharing how Meta is applying statistics and machine learning (ML) to improve notification personalization and management on Instagram – particularly on daily digest push notifications. By using causal inference and ML to identify highly active users who are likely to see more content organically, we have been able to reduce the number of notifications… Continue reading Improving Instagram notification management with machine learning and causal inference

If you’re paying attention to Salesforce technology, you’ve no doubt heard about Hyperforce, our new approach to deploying Salesforce on public cloud providers. Start with a look at Hyperforce’s architecture. There are many compelling reasons to move to Hyperforce, both for us and our customers. We’re excited to do it in the way that only Salesforce would… Continue reading How Salesforce Built a Cloud-Native Task Execution Service

We’re sharing lessons learned from shifting our Android development from Java to Kotlin. Kotlin is a popular language for Android development and offers some key advantages over Java.  As of today, our Android codebase contains over 10 million lines of Kotlin code. We’re open sourcing various examples and utilities we used to manipulate Kotlin code… Continue reading From zero to 10 million lines of Kotlin

At OCP Summit 2022, we’re announcing Grand Teton, our next-generation platform for AI at scale that we’ll contribute to the OCP community. We’re also sharing new innovations designed to support data centers as they advance to support new AI technologies: A new, more efficient version of Open Rack. Our Air-Assisted Liquid Cooling (AALC) – design.… Continue reading OCP Summit 2022: Open hardware for AI infrastructure