Scale Systems and Reliability 2026

Presenters Joe Duffy Source Scale Systems and Reliability 2026 The AI Code Revolution: Why Infrastructure is the New Bottleneck 🚀 The year is 2026, and something incredible is happening in the world of software engineering. Engineers are writing more code than ever before. This surge in productivity, estimated to be anywhere from 2x to a staggering 10x improvement in shipping app code velocity, is largely thanks to the advancements in Large Language Models (LLMs). We’re even on a path to see 100x improvements with autonomous agent teams churning out application code around the clock. ...

Presenters David Pariag Source Scale Systems and Reliability 2026 Agentify Everything: Meta’s Bold Leap into AI-Powered Infrastructure 🚀 Hey everyone! David Pariag here, an engineer at Meta who’s spent a good chunk of my career wrestling with distributed systems, overloaded servers, and even disaster readiness. But lately, my focus has shifted to something even more exciting: making our systems resilient to AI-driven change. Today, we’re diving deep into Meta’s journey to safely unleash AI agents at scale. ...

Presenters Rituraj Kirti Source Scale Systems and Reliability 2026 Privacy-Aware Infrastructure: The AI Native Era’s Secret Sauce for Better Architecture 🚀 Hey tech enthusiasts! Amrit Raj here, and today we’re diving deep into a topic that might sound a little counterintuitive at first: privacy as a driving force for better architecture. In this AI-native era, building with privacy in mind isn’t just about ticking compliance boxes; it’s about creating systems that are more adaptable, more deterministic, and ultimately, more reliable. Let’s explore how we’re making this a reality! ...

Presenters Shridivya Sharma Luke Kelly Source Scale Systems and Reliability 2026 Rethinking Production Debugging at Hyperscale: Safer, Faster, and Smarter with Cosmic 🚀 In the world of massive cloud infrastructure, debugging live systems presents a colossal challenge. Imagine managing tens of millions of pods across thousands of clusters, spread across the globe, running diverse workloads. That’s the reality for Microsoft’s Cosmic platform, and it demanded a complete overhaul of how production debugging is handled. Shridivya Sharma and Luke Kelly from Microsoft Substrate recently shared their journey in transforming this critical process, moving from high-privilege access to an AI-driven, secure, and scalable solution. ...