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Android @Scale 2018

Model-View-Presenter @ Scale

Sam and Zach revealed how their team began a long-term project to incrementally rewrite Pinterest in the Model-View-Presenter (MVP) architecture to move faster and promote app stability. They revealed initial goals, implementation, and ...
Android @Scale 2018

Eliminating Long-Tail Jank With StrictMode

Kurt provided insight into StrictMode, a developer tool most commonly used to catch accidental disk or network access on the application’s main thread, where UI operations are received and animations take place. He revealed how ...
Android @Scale 2018

Mobius: A Loopy UI Architecture

Ahmed noted that when building mobile features, engineers often need to do a lot of state and side effect management. He shared how Mobius helped his team structure code at Spotify in a way that maximizes testability and separation of ...
Android @Scale 2018

Migrating Apps To React Native from Android (and iOS)

Yang described how Oscar Health migrated its Android and iOS apps to React Native to greatly improve feature velocity. He presented the team’s learnings, “gotcha” moments, best practices for hybrid native/React Native apps, and ...
Android @Scale 2018

Graywater: A Framework for Fast Scroll Performance

Eric discussed Graywater, Tumblr’s RecyclerView library for decomposing large list items to improve scroll performance. He described how to build an advanced, flexible list implementation backed by Graywater and how to utilize ...
Android @Scale 2018

App Modularization and Module Lazy-Loading

Mona provided viewers with insight into a recent project to modularize Instagram’s Android codebase. A well-modularized codebase has several benefits, including the ability to have full control over when code is accessed and ...
Android @Scale 2018

Serial: Improving Data Serialization on Android

Alison shared the motivation behind writing a custom serialization framework to better control and optimize how the Twitter for Android team serializes data within the company’s app. Since Twitter open-sourced this library, ...
Android @Scale 2018

Video In News Feed Using Litho

Udi revealed how Facebook’s mobile engineering team developed more efficient ways to render videos on Android by using Litho, Facebook’s open source UI rendering library. This helped improve the performance, efficiency, ...
Android @Scale 2018

Paging with Room

Will and Pedro shared strategies on how to maximize the new Android Architecture Components, such as Room and the Paging Library, to relieve the burdens on the user experience queries that tend to fetch thousands of entities when only ...
Android @Scale 2018

Automated Testing Practices @ Scale

Waseem discussed the testing practices and specific frameworks used by Android engineers at Facebook to keep the quality and stability of the company’s codebase high.
Boston Mobile @Scale 2017

Travel at rabbit scale

Air travel, mass tourism and modern computing share a common history, from the mainframes of the 1960s to the launch of the Web in the mid-1990s. But the business of travel has only begun to adapt to a new era of big data and small ...
Boston Mobile @Scale 2017

Battery instrumentation at Facebook

As mobile apps grow in size and technical complexity, the effort of managing the level of strain on mobile phone resources becomes an even greater engineering challenge – particularly given the limited level of os-level access apps ...
Boston Mobile @Scale 2017

High-performance app development: Common bottlenecks and how TripAdvisor measured its way to a faster app

For modern mobile apps, speed wins. A smooth user interface, resilience to spotty network connections, and quick startup time are mandatory to keep users engaged. Come hear how TripAdvisor instrumented its app to find bottlenecks, ...
Boston Mobile @Scale 2017

Scaling Recommendations

Recommendations is a new product at Facebook that empowers people to ask their friends and groups for things to do, places to eat, professional services and more. As we built new features, we encountered several interesting scaling ...
Boston Mobile @Scale 2017

Enabling zero power voice activation

How Piezoelectric material enabled zero power voice recognition and scaling these microphones to huge volumes (100s of Millions).
Boston Mobile @Scale 2017

Android development at Facebook

How fast does a new feature go from inception to check-in to a user’s device? How about with dozens of teams committing to a single repository at the same time? At Facebook, we are constantly working on reducing that time @ ...
Boston Mobile @Scale 2017

Efficient and healthy background data prefetching

The ability to prefetch data while your app is on background is a step taken towards decoupling the usability of your app from network availability. Moreover, it can minimize cellular data usage and significantly increase perceived ...
Boston Mobile @Scale 2017

Runkeeper: Scaling to get the whole world running

Runkeeper has a community of 60 million runners all around the world. Joe and Steve will take you through the journey of scaling the Runkeeper mobile app and back-end platform. Highlighting the key lessons learned along the way and ...
Boston Mobile @Scale 2017

Fabric: Real-time analytics for billions

How fast do you know when there’s a problem in your latest version of your app? At Fabric, we built real-time analytics that supports billions of devices. In this talk, I’ll detail how we scale analytics for many apps on ...
Boston Mobile @Scale 2017

Modern server-side rendering with React

Following the emergence of modern JS libraries in the early 2010s, server-side rendering was pushed back from being a primary concern in many web applications to no longer existing as a product requirement. In this talk, I’ll explore ...
Boston Mobile @Scale 2017

Multi-threaded rendering on Android (with Litho & Infer)

The Facebook UI Foundation team develops UI rendering infrastructure for common surfaces in the Facebook app. We recently migrated the Facebook Android News Feed codebase to background rendering in a scalable, safe, and performant ...
Boston Mobile @Scale 2017

Building world-class products

Every company wants to build a product that’s great. But how do you do it? This session will cover what it takes to build world class products from design, development, and product management standpoints. We’ll discuss how ...
Boston Mobile @Scale 2017

Evolution of WhatsApp within Facebook’s data centers

This talk will give a sneak peak of how WhatsApp is collaborating with Facebook’s engineers to leverage Facebook’s infrastructure to serve its users. I’ll talk about how WhatsApp media service continues to maintain ...
Boston Mobile @Scale 2017

The future of multi-modal interfaces

Rich co-founded Android and is a serial entrepreneur and serial VC with over 30 years of experience growing businesses on the leading edge of communications and user experience. Rich has been at Google since they acquired Android ...
The @Scale Conference 2017

Scaling Android with ReDex

This talk will explore applications of ReDex to improve performance on emerging-market phones.
The @Scale Conference 2017

Efficient and healthy background data prefetching sessions

The ability to prefetch data while your app is on background can decouple the usability of your app from network availability. Moreover, it can minimize cellular data usage and significantly increase perceived speed. This talk walks ...
The @Scale Conference 2017

Democratizing the real-time filming and editing of 3D content

Unity builds the tools that enable game developers, artists, designers, and videographers to tell better visual stories. Games made with Unity have reached over 3 billion devices and were installed over 16 billion times. Unity also has ...
The @Scale Conference 2017

Archer, a distributed computing platform for media processing

Netflix engineers were spending too much time working with infrastructure and not enough time on their media algorithms, so they created Archer, a high-scale distributed computing platform for media processing. It uses Docker, which ...
The @Scale Conference 2017

Building successful teams at scale

This panel features leaders who have spent decades building successful teams that tackle large-scale technical challenges. Come hear how they’ve worked across disciplines, across oceans, and across their companies to move technology ...
The @Scale Conference 2017

Google Translate: Breaking language barriers in emerging markets

The session will focus on how the Google Translate team members make their Android app work better for users in emerging markets.
The @Scale Conference 2017

Rapid release at massive scale

This updated talk will give the latest details on how Facebook’s Release Engineering team ships multiple times per day.
The @Scale Conference 2017

Okta’s secret sauce for dealing with flaky tests at scale

Monolith, microservices, or both? Find out how Okta has developed the best of both worlds to solve for the challenge of scaling to handle dynamic traffic volumes. In this session, Kelvin Zhu will walk through how the Okta team manages ...
The @Scale Conference 2017

Keeping 2 billion lines of code moving forward

Google’s codebase includes over 2 billion lines of code, spanning thousands of projects. This talk looks at how Google keeps such a large codebase nimble and evolving despite its size and scale.
The @Scale Conference 2017

Resiliency testing with Toxiproxy

Fibers get cut, databases crash, and you’ve adopted chaos engineering to challenge your production environment as much as possible. But what are you doing to craft the resiliency test suites that minimize the impact of failure on ...
The @Scale Conference 2017

Inside the VS Code team: How a small team manages growth

Product teams usually grow to deal with the increased workload caused by their own success. While growing, they risk losing the qualities that initially made them successful. Microsoft’s VS Code is a small team with a wildly ...
The @Scale Conference 2017

The journey of turning a CI system into a universal platform

Sergey Doroshenko and Adriana Libório share lessons learned on a journey of transforming Facebook’s continuous integration system, Sandcastle, into a universal platform.
The @Scale Conference 2017

BigQuery: Managed storage for analytics

BigQuery is best known for being a large-scale query engine, but one of its most important components is a structured storage system. Over the last several years, Google has found that active data management is crucial for providing ...
The @Scale Conference 2017

Make data-driven decisions faster with real-time stream processing

Facebook can move fast and iterate because of its ability to make data-driven decisions. Data from its stream processing systems provides real-time analytics and insights; the system is also implemented into various Facebook products, ...
The @Scale Conference 2017

Serverless at scale with Amazon DynamoDB and Lambda

DynamoDB is a fully managed NoSQL database service that provides high throughput at low latency with seamless scalability. The service is the backbone for many Internet applications, handling trillions of requests daily. The scale of ...
The @Scale Conference 2017

PerfEnforce: A dynamic scaling engine for analytics with performance guarantees

Magda Balazinska talks about PerfEnforce, a system that enables performance-oriented service-level agreements (SLAs) for data analytics. Using a set of tenants and query-level performance SLAs, she addresses how to dynamically assign ...
The @Scale Conference 2017

Using Apache Beam for batch, streaming, and everything in between

Apache Beam is a unified programming model capable of expressing a wide variety of traditional batch and complex streaming use cases. By neatly separating properties of the data from runtime characteristics, Beam enables users to ...
The @Scale Conference 2017

LogDevice: A file-structured log system

Facebook’s Mark Marchukov will talk about Facebook’s work to build a durable and highly available sequential distributed storage system that can handle hardware failures and sustain consistent delivery at exceptionally high ...
The @Scale Conference 2017

Azure Data Lake Store

Azure Data Lake Store (ADLS) is a fully managed, elastic, scalable, and secure file system that supports semantics of the Hadoop distributed file system (HDFS) and the Microsoft Cosmos file system. It is specifically designed and ...
The @Scale Conference 2017

Building data-efficient AI algorithms with a dose of inspiration from the brain

Currently, the predominant approach in AI is to use unlimited data to solve narrowly defined problems. To progress toward humanlike intelligence, AI benchmarks will need to be extended to focus more on data efficiency, flexibility of ...
The @Scale Conference 2017

Unlocking meaning across languages at scale

At Facebook, the mission is to give people the power to build community and bring the world closer together. In this talk, Necip Fazil Ayan will present the most recent work on using deep learning for machine translation and language ...
The @Scale Conference 2017

Deep learning trends and developments

Deep learning is making a great impact across products at Google and in the world at large. As Google pushes the limits of AI and deep learning, research is underway in many areas. With integration into many Google products, this ...
The @Scale Conference 2017

Achieving AI at scale on mobile devices

Qualcomm is an at-scale company. It powered the smartphone revolution and connected billions of people. It pioneered 3G and 4G, and now it is leading the way to 5G and a new era of intelligent, connected devices. Mobile is going to be ...
The @Scale Conference 2017

GPUs and deep learning

In the last year, GPUs plus deep learning have gone from a hot topic to large-scale production deployment in major data centers. That’s because deep learning works, and the evolution of GPUs has made them a great fit for deep ...
The @Scale Conference 2017

Bringing 360 to the world

This talk will explore the future directions for 360 media across photos, video, and AR/VR. Matt Uyttendaele will dive deep on his latest work, applying machine learning models to 360 photos for an enhanced user experience.
The @Scale Conference 2017

When all the world’s data scientists are just not enough

What if you had to build more machine-learned models than there are data scientists in the world? Well, at enterprise companies serving hundreds of thousands of businesses, this is precisely the case. In this talk, Shubha Nabar will ...
The @Scale Conference 2017

@Scale 2017 shuttle schedule

If you need shuttle transportation from/to San Jose, we’ve provided the pick-up/departure schedule below. If you plan on driving, the  San Jose Convention Center is located at 150 W San Carlos St, San Jose, CA 95113  and for parking ...
Data @Scale 2017

Bulk data movement serving Facebook’s global data storage and processing

Steve Stroiney describes Facebook’s system for the movement of bulk data across its global system for storage and processing, balancing business needs with being a “good citizen,” at Data @Scale.
Data @Scale 2017

Architectures for the new era of cloud specialization

Increasing computational needs are forcing us to change how we think about large-scale systems, with new stacks and new interfaces. Doug Burger describes the deployment of programmable hardware in the Microsoft cloud, at Data @Scale.
Data @Scale 2017

Spanner’s SQL evolution

Google is in the process of turning its globally distributed Spanner data management system into an SQL DBMS. At Data @Scale, Sergey Melnik details the evolution of Spanner and its technical aspects.
Data @Scale 2017

How reporting and experimentation fuel product innovation at LinkedIn

The deeply data-driven LinkedIn uses metrics measurement and experimentation in every product decision. Kapil Surlaker introduces the Data @Scale audience to UMP and XLNT, two platforms the company developed to efficiently process ...
Data @Scale 2017

Cadence: Microservice architecture beyond request/reply

Maxim Fateev talks about Cadence, the open source solution that Uber uses for building and running microservices that expose asynchronous, long-running operations in a scalable and resilient way, at Data @Scale.
Data @Scale 2017

Evolution of storage and serving at Pinterest

Yongsheng Wu talks to the Data @Scale crowd about the evolution of storage and serving at scale at Pinterest as the company has grown, enabling rapid product innovations and confronting new challenges efficiently.
Data @Scale 2017

Yandex ClickHouse: A DBMS for interactive analytics at scale

At Data @Scale, Alexey Milovidov walks through Yandex’s development of ClickHouse and how its iterative approach to organizing data storage has resulted in a powerful and extremely fast open source system.
Data @Scale 2017

Next generation of globally distributed databases in Azure

Rimma Nehme describes for Data @Scale the new databases at Microsoft that are distributed worldwide and can run on millions of nodes across hundreds of data centers, handling up to trillions of data objects.
Data @Scale 2017

Accelerating machine learning for computer vision

Pieter Noordhuis of Facebook shares some recent insights in distributed systems design for training machine learning models at scale, at Data @Scale.
Networking @Scale 2017

How Facebook designs its own hardware and network

Hans-Juergen Schmidtke and Jimmy Williams take the Networking @Scale audience on a tour of data center networks and the hardware that allows Facebook to build them while meeting demand.
Networking @Scale 2017

Solving large-scale data center and cloud interconnection problems

Equinix has used open disaggregated network hardware and software to transform data center interconnection and cloud connectivity services. Ihab Tarazi tells us about the company’s approach at Networking @Scale.
Networking @Scale 2017

High-altitude platforms for rural backhaul

In his talk at Networking @Scale, Adit Sahasrabudhe focuses on Facebook’s work to deliver backhaul connectivity links from high-altitude platforms (HAPs), and details three link technologies that make up the network architecture.
Networking @Scale 2017

Microsoft IT IPv6 only: The path ahead

As Microsoft IT works toward a v6-only corporate network, Todd Thorson explains the strategy the team is taking, along with its plans to overcome the challenges along the way, at Networking @Scale.
Networking @Scale 2017

Delivering IPv6 on Amazon Virtual Private Cloud

Alan Halachmi covers the process of delivering IPv6 for Amazon Virtual Private Cloud (VPC), including decisions made along the way and the creation of an egress-only internet gateway, at Networking @Scale.
Networking @Scale 2017

Internet-scale virtual networking using IPv6 ILA

At Networking @Scale, Petr Lapukhov sheds light on what virtual networking is and how it works, and talks about the ways ILA (identifier locator addressing) has helped Facebook implement it.
Networking @Scale 2017

The very best of Certificate Transparency (2011-present)

Katrina Joyce and Al Cutter give a tour of Google’s Certificate Transparency project, which allows the detection of mistakenly issued TLS certificates, at Networking @Scale.
Networking @Scale 2017

Facebook CDN: Minimizing latency and jitter for content delivery

Sumanth Sukumar discusses the work of Facebook’s traffic infrastructure team and talks about proactive CDN for media delivery, at Networking @Scale.
Networking @Scale 2017

Zero Protocol and TLS 1.3: Low-latency transport security at Facebook

Subodh Iyengar talks about Zero Protocol, Facebook’s custom 0-RTT security protocol based on QUIC Crypto, and the reasons behind the current transition to TLS 1.3, at Networking @Scale.
Networking @Scale 2017

Delivering terabits of content: External considerations

Aaron Klink of Netflix talks to the Networking @Scale crowd about the various external aspects involved in delivering dozens of terabits of video traffic to nearly 100 million streaming subscribers.
Networking @Scale 2017

A close look at Alibaba’s high-performance packet processing platform

Alibaba built a packet processing platform that powers all its gateway-class services and is essential to the company’s day-to-day global operations. Haiyong Wang gives us the details at Networking @Scale.
Networking @Scale 2017

Automating and scaling the Edge

Facebook’s Xiaozheng Tie talks about how engineers adapted Robotron to automate and scale the new Edge network, from design to deployment and beyond, at Networking @Scale.
Networking @Scale 2017

Scaling for exabytes

Jason Wilson covers the challenges Dropbox confronted in building its own in-house multi-terabit storage system, and talks about the lessons learned, at Networking @Scale.
Networking @Scale 2017

Moving fast with Facebook’s long-haul network

Henry Kwok introduces a new private long-haul network for efficiently interconnecting Facebook’s data centers. He also discusses design aspects and touches on future goals, at Networking @Scale.
Dev Tools @Scale 2017

Bazel: Google’s extensible, multilingual, scalable build system

Dmitry Lomov walks through the architecture and extensibility model of Bazel, Google’s open source build system, and describes how it scales for different codebases.
Dev Tools @Scale 2017

Searching through code at scale

Jeroen Vaelen explores some of the custom code search tools Facebook is developing for large repositories, allowing engineers to efficiently find files and commits that match certain patterns.
Dev Tools @Scale 2017

Cross-platform dev tools for million-core applications

Through two practical use cases, Chris January of ARM demonstrates the challenges and architectural choices involved in creating dev tools for supercomputers that approach 1 million cores.
Dev Tools @Scale 2017

Scaling Android application testing at Spotify

Sean Kenny of Spotify delves into new testing tools that engineers have created to help teams keep up with the rapid pace of Android development.
Dev Tools @Scale 2017

Git Virtual File System

Edward Thomson discusses the challenges of migrating Microsoft’s Windows team to Git, and the changes in Visual Studio Team Services and in the Git Virtual File System that made it possible.
Dev Tools @Scale 2017

Scaling up job scheduling with a matchmaking service

Adriana Libório introduces Jupiter, a matching service that has helped Facebook scale its infrastructure by balancing the different requirements of jobs with the different configurations and dependencies of servers.
Dev Tools @Scale 2017

Hosting large-scale repositories on GitHub

Carlos Nieto walks through how GitHub has developed projects that have made it better able to reliably host Git repositories in an array of wildly different use cases.
Dev Tools @Scale 2017

Facebook Infer: Advanced static analysis at speed and scale

Dulma Churchill and Jules Villard describe the Infer Static Analyzer tool, which helps Facebook quickly catch and fix complex bugs before code gets committed, and reveal a domain-specific language for writing simple static analysis checks.
Dev Tools @Scale 2017

A tale of two pizzas: Accelerating software delivery with AWS developer tools

Amazon’s Paul Maddox shares the best practices and tools used by Amazon’s “two pizza” engineering teams to release software quickly. Implementing continuous integration and delivery workflows has helped ...
Dev Tools @Scale 2017

Resource management at scale

Phyllipe Medeiros talks about how Facebook scales end-to-end testing at Facebook, providing signal as quickly and reliably as possible so that its engineers can move fast.
Video @Scale 2017

Video understanding at scale

At Video @Scale, Manohar Paluri explores some of the challenges of video understanding, highlighting Facebook’s recent efforts as well as some exciting results.
Video @Scale 2017

Any device, any network: DIRECTV API

Jonathan Tronson recounts AT&T Entertainment’s endeavor to build a cloud-native video API to support growing demand, at Video @Scale.
Video @Scale 2017

More efficient encoding for mobile video

At Video @Scale, Anne Aaron describes how Netflix improved video quality over low-bandwidth, unreliable networks for its global audience.
Video @Scale 2017

Scaling low-latency live streams (2 of 2)

In this talk from Video @Scale, Federico Larumbe covers end-to-end considerations for delivering live streams on Facebook Live.
Video @Scale 2017

Scaling low-latency live streams (1 of 2)

In this talk from Video @Scale, Saral Shodhan talks about lower latencies for real-time interactions on Facebook Live.
Video @Scale 2017

Transitioning codecs on mobile

At Video @Scale, Christopher Blay and James Zern talk about Google’s VP9 format and its uses and benefits.
Video @Scale 2017

Spatial audio at scale

Jen Dolson and Hans Fugal explore the technical details behind Facebook’s use of high-quality spatial audio for large-scale consumption, at Video @Scale.
Video @Scale 2017

Streaming 360 video

At Video @Scale, Evgeny Kuzyakov talks about some of the improvements to Facebook’s Dynamic Streaming system.
Video @Scale 2017

Next-generation transport for live, glitch-free, high-quality video delivery over commodity internet

Aspera CEO Michelle Munson discusses the core principles, performance characteristics, and use cases of the FASPStream software at Video @Scale.
Machine Learning @Scale 2017

Building AI for everyone on the planet

Clarifai CEO Matthew Zeiler takes viewers through a suite of product demos for identifying, classifying, and searching digital images using the company’s machine learning technology.
Machine Learning @Scale 2017

Medical specialty triage using machine learning

Michelle Ye uses her perspective as a data scientist to talk through the challenge of scaling engineering ideas through an organization to gain buy-in and bring benefits to both the company and the end user.
Machine Learning @Scale 2017

Detecting place visits at scale

Jan and Danielle offer a deep dive into a system capable of interpreting location signals coming from mobile devices at scale. The case study they present exposes challenges their team faced while designing and productionizing a system ...
Machine Learning @Scale 2017

Measurement and analysis of predictive feed ranking models on Instagram

Thomas uses the launch of Instagram’s feed ranking as a working example to talk through issues in quantifying network effects, while exploring unusual A/B testing techniques such as country-level tests, testing on balanced graph ...
Machine Learning @Scale 2017

Learning in auctions

Andres describes the challenges of learning in repeated auctions for revenue maximization.

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