Qumulo Core: Using analytics to make data visible at scale
Providing flexible consistency levels with Manhattan
Scale out resource management: YARN++
Apache Beam: A unified and open model for batch and streaming data processing
Data integration for visual analysis in Tableau
Facebook’s disaggregated storage and compute for Map/Reduce
Linux 4.x performance: Using BPF superpowers
Web speed at Facebook
Automatic regression triaging at Facebook
Sifting for gold: Increasing ad revenue by improving performance
The keys to actionable perf investigations
Evolution of high-performance networking in Chromium
Real-world performance data for mobile
Visualizing and optimizing real user performance on mobile
Your storage is broken: Lessons from studying modern databases and key-value stores
Data @Scale welcome — Surendra Verma
Presto Raptor: MPP shared-nothing database on flash
Welcome to Networking @Scale — Omar Baldonado
PingMesh + NetBouncer: Fine-grained path and link monitoring for data centers
Terragraph: A gigabit wireless network for dense urban environments
Lessons learned from B4, Google’s SDN WAN
Scaling Facebook Live
Networking between Earth and Mars
Open/R: The joy of packet routing
Dropbox’s exabyte storage system
Scaling overlays and EVPN as universal overlay
Welcome to Day 2 — IPv6 @Scale
IPv6@Comcast
Leveraging IPv6 in the Facebook backbone
An Akamai view of global IPv6 address activity
Productionizing IPv6 in the Linux kernel
Scaling iOS @ Google
When mobile IDEs need to scale
6 lessons learned scaling mobile at SoundCloud
Backend-driven native UIs
Infer: Moving fast with static analysis
React Native: Bringing the best of web development to native
Don’t forget the web
Building the Complexity-Based Encoding (CBE) optimization model
Facebook Live video for News Feed (part 1)
Facebook Live video for News Feed (part 2)
360 video: Enabling high-quality streaming at scale
High dynamic range video
Distributed encoding at scale
AI encoding at scale
Akamai and beyond TCP: Scaling video delivery into the future
Live video for millions: Yahoo NFL game
Using AI to understand video
Application data caching for a global Netflix
A history of IPv6 challenges in Facebook data centers
3,000 images per second
Evolution of performance
Running Instagram
Getting the most out of static analyzers
Ambry: Open source scalable geodistributed object store
Managing an open source program at scale
Experimentation at scale & replicated RocksDB at Pinterest
Octopus takes on the Uber challenge
Airbnb’s data evolution: Lessons from building a world-class data ecosystem
Dropbox Infinite: A different kind of distributed file system
Active fault finding in networks
HTTP2 server push: Lower latencies around the world
Machine learning at scale: FBLearner Flow
Building with a mobile-first approach in India
Creating and scaling Spotify’s Discover Weekly playlist
Benchmarking the cloud to build applications that work
No shard left behind: APIs for massive parallel efficiency
How VP9 is saving the world
Blazing fast: Scaling iOS at Uber
A practical guide to writing solid UI tests on Android
MyRocks: Space and write optimized OLTP database at Facebook
Deep learning in production at Facebook
BrowserLab: Fully automated regression detection for the web
GraphQL in native applications at scale
Amazon Aurora: An under-the-hood view of a cloud-scale relational database service
Netflix: Engineering the cloud
Building the Quip editor for iOS
Unifying big data workloads in Apache Spark
GPUs and deep learning deployments at scale
Addressing continuous deployment’s resource creep at scale
Shipping mobile apps smart and fast at scale
Real-time data compression at scale
360 video stabilization: A new algorithm for smoother 360 video viewing
DevOps and containerization at scale
All apps shall crash. Deal with it.
Uber’s data visualization stack
@Scale 2016 Keynote – Himagiri Mukkamala, GE
@Scale 2016 Keynote – Jay Parikh, Facebook
QUIC @ Google
Securing our pipes
Scaling traffic configurations
@Scale network traffic visibility and anomaly detection
Modeling operational complexity
Browser networking: Hopscotching your way to great performance
Introducing Akamai’s Cloud Networking
Networking @ Google
Anti-Spam by Design: Building a Company of Spam-Fighters
Detecting fake inventory on Airbnb
How WhatsApp Reduced Spam while Launching End-to-End Encryption
Finding Clusters of Fake Accounts at Scale
Measuring Performance of Fake Account Detection and Remediation
The Economics of Modern Spam
Using Weighted Sampling to Understand the Prevalence of Spam
Defending Netflix and its Members from Abuse
How to Utilize User-Generated Feedback to Fight Spam
Welcome to Spam Fighting @Scale 2016
Designing AI at scale to power everyday life
Search and ranking at Bloomberg
Matching publications and patents to LinkedIn members
Learning in auctions
Measurement and analysis of predictive feed ranking models on Instagram
Detecting place visits at scale
Medical specialty triage using machine learning
Building AI for everyone on the planet
Next-generation transport for live, glitch-free, high-quality video delivery over commodity internet
Streaming 360 video
Spatial audio at scale
Transitioning codecs on mobile
Scaling low-latency live streams (1 of 2)
Scaling low-latency live streams (2 of 2)
More efficient encoding for mobile video
Any device, any network: DIRECTV API
Video understanding at scale
Resource management at scale
A tale of two pizzas: Accelerating software delivery with AWS developer tools
Facebook Infer: Advanced static analysis at speed and scale
Hosting large-scale repositories on GitHub
Scaling up job scheduling with a matchmaking service
Git Virtual File System
Scaling Android application testing at Spotify
Cross-platform dev tools for million-core applications
Searching through code at scale
Bazel: Google’s extensible, multilingual, scalable build system
Moving fast with Facebook’s long-haul network
Scaling for exabytes
Automating and scaling the Edge
A close look at Alibaba’s high-performance packet processing platform
Delivering terabits of content: External considerations
Zero Protocol and TLS 1.3: Low-latency transport security at Facebook
Facebook CDN: Minimizing latency and jitter for content delivery
The very best of Certificate Transparency (2011-present)
Internet-scale virtual networking using IPv6 ILA
Delivering IPv6 on Amazon Virtual Private Cloud
Microsoft IT IPv6 only: The path ahead
High-altitude platforms for rural backhaul
Solving large-scale data center and cloud interconnection problems
How Facebook designs its own hardware and network
Accelerating machine learning for computer vision
Next generation of globally distributed databases in Azure
Yandex ClickHouse: A DBMS for interactive analytics at scale
Evolution of storage and serving at Pinterest
Cadence: Microservice architecture beyond request/reply
How reporting and experimentation fuel product innovation at LinkedIn
Spanner’s SQL evolution
Architectures for the new era of cloud specialization
Bulk data movement serving Facebook’s global data storage and processing
@Scale 2017 shuttle schedule
When all the world’s data scientists are just not enough
Bringing 360 to the world
GPUs and deep learning
Achieving AI at scale on mobile devices
Deep learning trends and developments
Unlocking meaning across languages at scale
Building data-efficient AI algorithms with a dose of inspiration from the brain
Azure Data Lake Store
LogDevice: A file-structured log system
Using Apache Beam for batch, streaming, and everything in between
PerfEnforce: A dynamic scaling engine for analytics with performance guarantees
Serverless at scale with Amazon DynamoDB and Lambda
Make data-driven decisions faster with real-time stream processing
BigQuery: Managed storage for analytics
The journey of turning a CI system into a universal platform
Inside the VS Code team: How a small team manages growth
Resiliency testing with Toxiproxy
Keeping 2 billion lines of code moving forward
Okta’s secret sauce for dealing with flaky tests at scale
Rapid release at massive scale
Google Translate: Breaking language barriers in emerging markets
Building successful teams at scale
Archer, a distributed computing platform for media processing
Democratizing the real-time filming and editing of 3D content
Efficient and healthy background data prefetching sessions
Scaling Android with ReDex
DNA Data Storage: Borrowing from nature to build better computers
@Scale 2017 Welcome – Jay Parikh
The future of multi-modal interfaces
Evolution of WhatsApp within Facebook’s data centers
Building world-class products
Multi-threaded rendering on Android (with Litho & Infer)
Modern server-side rendering with React
Fabric: Real-time analytics for billions
Runkeeper: Scaling to get the whole world running
Efficient and healthy background data prefetching
Android development at Facebook
Enabling zero power voice activation
Scaling Recommendations
High-performance app development: Common bottlenecks and how TripAdvisor measured its way to a faster app
Battery instrumentation at Facebook
Travel at rabbit scale
Automated Testing Practices @ Scale
Paging with Room
Video In News Feed Using Litho
Serial: Improving Data Serialization on Android
App Modularization and Module Lazy-Loading
Graywater: A Framework for Fast Scroll Performance
Migrating Apps To React Native from Android (and iOS)
Mobius: A Loopy UI Architecture
Eliminating Long-Tail Jank With StrictMode
Model-View-Presenter @ Scale
Static Resources at Facebook
Scaling Alibaba’s real time infrastructure for Global Shopping Holiday
The Magic Modem: A Global Network Emulator
Mobile performance testing in real user conditions
iOS VM and Loader Considerations
Robust anomaly detection for real user monitoring data
Understanding (App) Performance in the Wild with Profilo
Execution Graphs: Distributed trace processing for performance regression detection
Performance @Scale 2018 – Opening Remarks
Fighting Abuse @Scale 2018 – Nektarios Leontiadis
Fighting Abuse @ Scale – Jenelle Bray and Carlos Faham
Fighting Abuse @Scale – Michael McNally and Lauren Bose
Fighting Abuse @ Scale – Michelle Ganbaum and Benjamin Braun
Fighting Abuse @Scale 2018 – Nathan Hurst
Video @Scale 2018 – Yue Chen, Google
Video @Scale 2018 – Sabyasachi Roy and Peter Knowles
Video @Scale 2018 – Dejan Curcic, Facebook
Video @Scale 2018 – Shankar Regunathan, Hans Fugal, Facebook, and Balu Adsumilli, YouTube
Video @Scale 2018 – Omer Luzzatti, VDMS
Video @Scale 2018 – Nick Chadwick, Mux
Video @Scale 2018 – Matt Feiszli, Facebook
Video @Scale 2018 – Jana Iyengar, Fastly
Video @Scale 2018 – Anne Aaron and Andrey Norkin, Netflix
Video @Scale 2018 – Li-Tal Mashiach, Facebook
Networking @Scale 2018 – Networking Across 3 Decades of IBM Supercomputers
Networking @Scale 2018 – Layer 4 Load Balancing at Facebook
Networking @Scale 2018 Scaling the Facebook Backbone Through Zero Touch Provisioning (ZTP)
Networking @Scale 2018 – Optics Scaling Challenges
Networking @Scale 2018 – Networking Challenges in Gaming
Networking @Scale 2018 – Load Balancing at Hyperscale
Networking @Scale 2018 – Edge Fabric: Steering Oceans of Content to the World
Networking @Scale 2018 – IPv6 Measurements at Facebook
Networking @Scale 2018 – A Learning Platform for Network Intent Graph Modeling
The 2017 @Scale conference
Systems @Scale 2018 – Geo-Replication in Amazon DynamoDB Global Tables
Systems @Scale 2018 – Rebuilding the Inbox: The Corporate and Cultural Adventures of Modernizing Yahoo Mail
Systems @Scale 2018 – Compute-as-a-Service: Moving Toward a Global Shared Fleet
Systems @Scale 2018 – Web@FB: Releasing Facebook.com Quickly, Continuously, and Reliably
Systems @Scale 2018 – Keynote With Jay Parikh
Holding It in @Scale: The systemd-tails on Containers, Composable Services, and Runtime Fun Times
Systems @Scale 2018 – Kubernetes Application Migrations: How Shopify Moves Stateful Applications Between Clusters and Regions
Systems @Scale 2018 – Scaling Data Distribution at Facebook Using LAD
Systems @Scale 2018 – Lyft’s Envoy: Embracing a Service Mesh
Systems @Scale 2018 – Resolving Outages Faster with Better Debugging Strategies
Meet a Keynote Speaker: Clément Farabet, VP of AI Infrastructure, NVIDIA
@Scale 2018 Keynote: A golden age for computer architecture
@Scale 2018 Keynote: Inside NVIDIA’s AI infrastructure for self-driving cars
@Scale 2018 Keynote: Glow: A community-driven approach to AI
@Scale 2018: One World: Scalable resource management
@Scale 2018: Artificial intelligence at Orbital Insight
@Scale 2018: Integrated Symbolic Execution for Space-Time Analysis of Code: Scalability challenges
@Scale 2018: MLPerf: A suite of benchmarks for machine learning
@Scale 2018: Computer vision at scale as cloud services
@Scale 2018: Automated fault-finding with Sapienz
@Scale 2018: Distributed AI with Ray
@Scale 2018: Amazon Aurora: Design considerations for high throughput cloud-native relational databases
@Scale 2018: Machine learning testing at scale
@Scale 2018: Scaling concurrency bug detection with the Infer static analyzer
@Scale 2018: Run your database like a CDN
@Scale 2018: Goku: Pinterest’s in-house time-series database
Friends don’t let friends deploy black-box models: The importance of intelligibility in machine learning
@Scale 2018: Regression testing against real traffic on a Big Data reporting system
@Scale 2018: Testing strategy with multi-app orchestration
@Scale 2018: Applied machine learning at Facebook: An infrastructure perspective
@Scale 2018: Accelerate machine learning at scale using Amazon SageMaker
@Scale 2018: Resource management at scale for SQL analytics
@Scale 2018: Presto: Fast SQL on everything
Boston Data @Scale 2018 – Kubeflow: Portable Machine Learning on Kubernetes
Boston Data @Scale 2018 – Building Highly Reliable Data Pipelines at Datadog
Boston Data @Scale 2018 – Deleting Data @ Scale
Boston Data @Scale 2018 – Leveraging Sampling to Reduce Data Warehouse Resource Consumption
Boston Data @Scale 2018 – Lessons and Observations Scaling a Time-Series Database
Boston Data @Scale 2018 – Balancing Flexibility and Control with Database Deployments
Boston Data @Scale 2018 – Protecting Patient Privacy While Using Real-World Evidence
Boston Data @Scale – Presto: Pursuit of Performance
Mobile@Scale Tel Aviv – YOLO Releases Considered Harmful: Running an Effective Mobile Engineering Team
Mobile@Scale Tel Aviv – Flipper: An extensible mobile app debugger
Mobile@Scale Tel Aviv – Building for Emerging Markets
Mobile@Scale Tel Aviv – Using Mobile to Help Your Business
Mobile@Scale Tel Aviv – Mobile development process automation
Mobile@Scale Tel Aviv – Keynote Address
Mobile@Scale Tel Aviv – Reactive Extensions for Mobile Apps: Getting Started
Mobile@Scale Tel Aviv – Don’t Miss the Train: Shipping Apps and Beyond
Mobile@Scale Tel Aviv – Keeping Lite ‘light’ Techniques for Keeping Our APK as Small as ~1MB
Our Code of Conduct
Systems @Scale 2019: Disaster Recovery at Facebook Scale
Systems @Scale 2019: Preemption in Nomad – A Greedy Algorithm That Scales
Systems @Scale 2019: Apache Hive