Scale Systems and Reliability 2026 on TLDRecap ⏮️

AI Storage Blueprint | Sidharth Bajaj and Venkatraghavan Srinivasan from Meta

Tue, 07 Jul 2026 12:04:26 -0700

Presenters

Source

Scale Systems and Reliability 2026

Reimagining AI Storage: From Stalled GPUs to Blazing-Fast Innovation 🚀

Hey AI enthusiasts and tech pioneers! We’re Sidharth and Venkat, and today we’re pulling back the curtain on how we’ve completely re-architected Meta’s storage infrastructure to keep pace with the insatiable demands of AI workloads. Get ready to dive deep into the challenges, the innovations, and the mind-blowing results! ✨

Live Panel with Aurora, Google, Meta and Microsoft

Thu, 02 Jul 2026 12:29:22 -0700

Presenters

Source

Scale Systems and Reliability 2026

Navigating the AI Frontier: Context, Complexity, and the Future of Operations 🚀

The world of AI-powered operations is evolving at lightning speed, presenting both incredible opportunities and complex challenges. From startups to hyperscale giants, understanding and managing the “context ceiling” for AI agents is paramount. This blog post synthesizes insights from leading minds at Microsoft, Meta, Google, and Aurora, exploring how we’re building intelligent systems, tackling operational complexities, and ensuring reliability in the age of AI.

Opening Keynote | Surupa Biswas from Meta

Thu, 02 Jul 2026 12:13:51 -0700

Presenters

Surupa Biswas

Source

Scale Systems and Reliability 2026

The AI Revolution: From Theory to Real Value and the Infrastructure Race 🚀

The world of technology is moving at breakneck speed, and at the heart of this progress lies the incredible evolution of Artificial Intelligence. We’re witnessing a paradigm shift, moving from theoretical AI concepts to tangible, real-world value, and this transformation is profoundly impacting the infrastructure that powers it all.

Closing Keynote | Peter Hoose from Meta

Thu, 02 Jul 2026 11:42:41 -0700

Presenters

Peter Hoose

Source

Scale Systems and Reliability 2026

From Moonshots to AI Missions: The Explosive Growth of AI Infrastructure 🚀

We’re living in an era of unprecedented technological advancement, and at the forefront of this revolution is Artificial Intelligence. But what does it really take to power this AI boom? Peter Hoose, who leads Production Engineering at Meta, dives deep into the colossal investments, engineering marvels, and the future of AI infrastructure, drawing parallels to the iconic moon landing.

Experience Productionizing and Operating GB200 Cluster | NVIDIA Team

Thu, 02 Jul 2026 11:30:13 -0700

Presenters

Source

Scale Systems and Reliability 2026

Scaling the AI Frontier: Productionizing and Operating NVIDIA’s GB200 Clusters 🚀

The world of AI is evolving at lightning speed, and at the heart of this revolution are powerful computing clusters. NVIDIA’s latest GB200 and GB300 systems represent a monumental leap forward, but bringing these behemoths to life and keeping them running at peak performance is a complex undertaking. Join us as we dive into the incredible journey of productionizing and operating these cutting-edge clusters at scale, straight from the experts at NVIDIA!

Teaching AI to Fight Fires: Autonomous Reliability Agents at Meta Scale | Gaurav Metra from Meta

Thu, 02 Jul 2026 11:22:48 -0700

Presenters

Gaurav Metra

Source

Scale Systems and Reliability 2026

AI: Your New On-Call Partner for Unbreakable Systems 🚀

Remember that gut-wrenching feeling when a critical system goes down? Gaurav Metra, a Production Engineer at Meta, sure does. He vividly recounts a harrowing Wednesday morning on December 11th, 2024, when a single configuration change triggered a widespread outage, impacting all of Meta’s apps for a grueling four hours. This wasn’t just a technical hiccup; it was a “sev zero” incident, requiring hundreds of engineers across dozens of teams, leading to sleepless nights and lost roadmap progress.

Extending Meta to the Public Cloud | Dinesh Govindasamy and Sargun Dhillon from Meta

Thu, 02 Jul 2026 11:08:23 -0700

Presenters

Source

Scale Systems and Reliability 2026

Meta’s Bold Leap to the Cloud: From On-Prem Masters to Hybrid Powerhouses ☁️🚀

Meta, the tech giant behind Facebook, Instagram, and WhatsApp, has long been a pioneer in building its own incredibly robust and efficient on-premises infrastructure. For years, they meticulously crafted every layer of their tech stack, from custom hardware in their data centers built through Open Compute to specialized software like HHVM for their social graph. This “code design” approach, where hardware and software are optimized together, fueled their rapid growth and reliability.

[Almost] Fail & Tell: Stop The World | Phil Lopreiato and Rahul Iyengar from Meta

Tue, 30 Jun 2026 12:15:17 -0700

Presenters

Source

Scale Systems and Reliability 2026

When Meta Almost Had a Really Bad Day: A Deep Dive into a Near Catastrophe 🤯

Hey tech enthusiasts! Gather ‘round, because we’ve got a story that will make your palms sweat and your admiration for robust infrastructure soar. Phil Lopreiato and Rahul Iyengar from Meta’s Web Foundation team are here to pull back the curtain on a nail-biting incident that could have spiraled into a major outage, reminding us that even the giants of the tech world face hair-raising challenges.

Live Q&A | Systems & Reliability 2026

Tue, 30 Jun 2026 10:35:31 -0700

Presenters

Source

Scale Systems and Reliability 2026

Guardrails, Agents, and the Future of Infrastructure Management: A Deep Dive 🚀

The world of cloud infrastructure is evolving at lightning speed, and with the rise of autonomous agents, the need for robust guardrails has never been more critical. We sat down with some brilliant minds – Joe Romano, David Pariag, Sargun Dhillon, and Joe Duffy – to explore how we’re building safety, efficiency, and intelligence into the very fabric of our infrastructure management.

Taming AI Infrastructure Failures with Agentic Debugging | Phillip Liu from Meta

Fri, 26 Jun 2026 16:18:15 -0700

Presenters

Phillip Liu

Source

Scale Systems and Reliability 2026

Taming the NCCL Watchdog Timeout: Meta’s Journey to AI Reliability 🚀

Ever hit a wall with your AI training jobs? Those dreaded “NCCL watchdog timeout” errors can feel like a black box, leaving you scratching your head and wasting precious compute time. Well, buckle up, because we’re diving deep into how Meta tackles this beast, making complex debugging accessible and even exciting! ✨

The Agentic Infrastructure Gap: In-Distribution Languages Make It a Coding Problem | Joe Duffy

Fri, 26 Jun 2026 16:18:09 -0700

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.

Our Journey to Safely Unleash Agents at Meta Scale | David Pariag from Meta

Fri, 26 Jun 2026 16:18:04 -0700

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.

Building Privacy Aware Infrastructure in the AI-Native Era | Rituraj Kirti from Meta

Fri, 26 Jun 2026 16:15:04 -0700

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!

Securing Production Debugging at Hyperscale | Shridivya Sharma and Luke Kelly from Microsoft

Fri, 26 Jun 2026 16:15:01 -0700

Presenters

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.