Month: October 2023

By Yogi Kapur and Scott Nyberg In our “Engineering Energizers” Q&A series, we examine the professional journeys that have shaped Salesforce Engineering leaders. Meet Yogi Kapur, Senior Director of Salesforce’s Global Computer Security Incident Response Team (CSIRT). Based in Hyderabad, India, Yogi leads his cybersecurity analyst team in responding to countless alerts and containing malicious… Continue reading New Automation Tools: Stopping Hundreds of Future Threats Instantly

By Yogi Kapur and Scott Nyberg In our “Engineering Energizers” Q&A series, we examine the professional journeys that have shaped Salesforce Engineering leaders. Meet Yogi Kapur, Senior Director of Salesforce’s Global Computer Security Incident Response Team (CSIRT). Based in Hyderabad, India, Yogi leads his cybersecurity analyst team in responding to countless alerts and containing malicious… Continue reading New Automation Tools: Stopping Hundreds of Future Threats Instantly

Meta’s Systematic Code and Asset Removal Framework (SCARF) has a subsystem for identifying and removing unused data types. SCARF scans production data systems to identify tables or assets that are unused and safely removes them. SCARF avoids tedious manual work and ensures that product data is correctly removed when a product is shut down. This… Continue reading Automating data removal

Meta’s Systematic Code and Asset Removal Framework (SCARF) has a subsystem for identifying and removing dead code. SCARF combines static and dynamic analysis of programs to detect dead code from both a business and programming language perspective. SCARF automatically creates change requests that delete the dead code identified from the program analysis, minimizing developer costs.… Continue reading Automating dead code cleanup

Meta has a very large monorepo, with many  different programming languages. To optimize build and performance, we developed our own build system called Buck, which was first open-sourced in 2013.  Buck2 is the recently open-sourced successor. In our internal tests at Meta, we observed that Buck2 completed builds approximately 2x as fast as Buck1. Below… Continue reading 5 Things you didn’t know about Buck2

With the recent launches of MTIA v1,  Meta’s first-generation AI inference accelerator, and Llama 2,  the next generation of Meta’s publicly available large language model, it’s clear that Meta is focused on advancing AI for a more connected world. Fueling the success of these products are world-class infrastructure teams, including Meta’s custom AI silicon team,… Continue reading How Meta is creating custom silicon for AI

By Yuliya Feldman and Scott Nyberg In our “Engineering Energizers” Q&A series, we examine the professional life experiences that have shaped Salesforce Engineering leaders. Meet Yuliya Feldman, a Software Engineering Architect at Salesforce. Yuliya works on Salesforce Einstein’s Machine Learning Services team, responsible for operationalizing AI models, which serve as the engine behind Salesforce’s generative… Continue reading How the Einstein Team Operationalizes AI Models at Lightning Speed and Massive Scale

By Yuliya Feldman and Scott Nyberg In our “Engineering Energizers” Q&A series, we examine the professional life experiences that have shaped Salesforce Engineering leaders. Meet Yuliya Feldman, a Software Engineering Architect at Salesforce. Yuliya works on Salesforce Einstein’s Machine Learning Services team, responsible for operationalizing AI models, which serves as the engine behind Salesforce’s generative… Continue reading How the Einstein Team Operationalizes AI Models at Lightning Speed and Massive Scale