@Scale conference schedule for 31 August 2016

@Scale conference schedule for 31 August 2016

The @Scale Conference is an event for engineers who build at scale. The focal point of @Scale Community is to gather people to openly discuss the challenges and concerts the development of the new solutions. Building applications and services that scale to millions or even billions of people presents a complex set of engineering revolutionary challenges.

Registration is now open for the 2016 @Scale Conference. It requires access code. If you don't have an access code you can message on @Scale community page athttps://www.facebook.com/atscaleevents/. The event will be held at the San Jose Convention Center on August 31, 2016 starting at 10am, and will feature talks from engineers at Airbnb, Amazon, Databricks, Dropbox, Facebook, Flipkart, Jet Propulsion Laboratory (JPL), Google, Instagram, LinkedIn, Netflix, NVIDIA, Oculus, Paypal, Pinterest, Slack, Spotify, Uber and more.

The discussion will cover best practices from some of the industry's leading engineering terms. Confirmed topics include APIs for massive parallel efficiency, data visualization techniques, in-house mobile testing tools, IPv6 updates, new compression algorithms, open source applications, video stabilization updates, machine learning applications, and others. Mainly the event discussion will be focused on four tracks: Data, Dev Tools & Ops, Mobile and Machine Learning and Video.

The whole event begins at 10am. RSVP soon - space is limited. The $150 registration fee includes access to all four tracks, the keynotes, breakfast, lunch, and the cocktail hour.

Topic for discussions are divided into four parts

1. Data Track
2. Mobile Track
3. Dev Tools & Ops Track
4. Hot Topics Track

Agenda:

08:00 am to 10:00 am	Registration and Breakfast
10:00 am to 11:00 am	Keynotes Jay Parikh, head of engineering and infrastructure at Facebook, will start the event with a keynote address. Himagiri Mukkamala, Head of Engineering, Predix, GE Digital, will discuss about the technical challenges faced in GE. He will explain how scale companies learn from each other to make software easy for machine and for all.
11:00 am - 11:25 am	DATA Uber's data Virtualization Task by Shan He, Uber: While using graphics in the browser, many markup languages like SVG to OpenGL based APIs like WebGL are used to create the better visualization. The talk will cover the available standards, libraries, and the open source stack that Uber developed for visual analytics, mapping, and public-facing data visualizations ranging from SVG and D3 to WebGL and beyond.
11:00 am - 11:40 am	MOBILE Architecting Pinterest for Consistency & Performance at Scale by Scott Goodson, Pinterest : He will discuss the iOS app which team work on popular AsyncDisplayKit framework
11:00 am - 11:25 am	DEV TOOLS & OPS DevOps and Containerization at Scale by Jigar Desai, Paypal : Since the split from eBay in 2015 PayPal has turbo charged DevOps - moving from one release every two months to 200 releases a day. A key example of this in action is adopting Docker as containerization technology to enhance our developer experience, reduce drift in different environments like test and production and to bring higher efficiency of resource utilization in our data centers. This session will discuss PayPal's journey to docker-ize 2500 apps and hundreds of thousands of container instances.
11:00 am - 11:25 am	HOT TOPICS A new way to optimize 360 video for a better viewing experience byJohannes Kopf, Facebook : Facebook wants to ensure a high-quality, consistent viewing experience regardless of the capture device or conditions. Johannes Kopf's talk will present a new optimization the company has developed to improve one aspect of 360 video viewing quality across Facebook and the Oculus platform, while preserving (and even improving) upload/playback speed and efficiency
11:30 am - 11:55 am	DATA Real Time data compression at scale by Yann Collet, Facebook : How the computing world has changed dramatically in the past two decades based on Phil Katz compression algorithm released on 1993 which is commonly known as Zip and used in the most of the system. Could these changes be taken in consideration to create a new, and unconditionally better, algorithm?
11:40 am - 12:00 pm	MOBILE Shipping mobile apps smart and fast at scale by Anne Ruggirello & Felix Wong, Facebook : In the mobile world, developers aspire to getting features out as fast as possible. In this talk, Facebook will compare the traditional industry approach and the agile approach used at Facebook. The speaker will talk about techniques and tips that allow you to move as fast as possible and yet maintain high quality.
11:30 am - 11:55 am	DEV TOOLS & OPS Addressing continuous deployment's resource creep at scale byAdrian Zgorzalek, Facebook : Facebook will describe the approach to dealing with resource creep at scale, and the tools and approaches that are used to identify and correct resource creep for Facebook's PHP developers with regressions on the online data storage and access infrastructure.
11:30 am - 11:55 am	HOT TOPICS GPUs and deep learning deployments at scale by Robert Ober, Tesla Chief Platform Architect, NVIDIA : He will discuss about GPU (Graphics Processing Unit) architectural evolution and changing neural net computation demands.
12:00 pm - 12:25 pm	DATA Unifying big data workloads in Apache Spark by Matei Zaharia, Databricks : Apache Spark was designed to offer a unified engine across diverse workloads, such as SQL, streaming, and batch analytics. The talk will cover how having a unified engine enabled new types of applications based on Spark (such as interactive queries over streams), and how Databricks designed Spark's APIs to enable efficient composition. It will also sketch the newest unified API in Spark, Structured Streaming, which lets the engine run batch SQL or DataFrame computations incrementally over a stream of data.
12:00 pm - 12:25 pm	MOBILE Building the Quip editor for iOS by Yunjie Ma, Quip : Quip is available across eight platforms, all of which share a single HTM5/Javascript editor. This talk will go over the architecture behind Quip's editor, its evolution as the company adopted React, and how it connects to its native iOS framework.
12:00 pm - 12:30 pm	DEV TOOLS & OPS Netflix: Engineering the Cloud by Dianne Marsh, Netflix : Decisions Netflix made early on facilitated later choices. In this talk, we will discuss how decisions have built upon one another and led to a highly resilient service. But the architecture isn't perfect. We'll talk about some of the complexities and future work that may ultimately simplify and streamline dependencies.
12:00 pm - 12:30 pm	HOT TOPICS SnapUI: Building fast and scalable UIs in VR by Khoi Nguyen, Oculus : React and FLUX are ground breaking technologies and approaches that have taken the web development world by storm. The team was able to build a fast, stable, disciplined and scalable VR product from the ground up. The UI framework built to do this is called SnapUI, and the team will share the approaches they used in achieving their goals.
12:30 pm - 1:00 pm	"Office Hours" and Break: In the mean time any one can meet previous speaker like Shan He at Uber, Yann Collet at Facebook, etc.
12:30 pm - 2:00 pm	Lunch
2:00 pm - 2:25 pm	DATA Amazon Aurora: An under-the-hood view of a cloud-scale relational database service by Debanjan Saha, Amazon : This talk will be based on Amazon Aurora - a relational database service designed for the cloud. Amazon Aurora is a disruptive technology in the database space, bringing a new architectural model and distributed systems techniques to provide far higher performance, availability and durability. Amazon will also share interesting use cases from thousands of customers who are running production workloads on Amazon Aurora.
2:00 pm - 2:25 pm	MOBILE GraphQL in native applications at scale by Igor Canadi & Alex Langenfeld, Facebook : Flipkart's Amar Nagaram will be sharing some of the challenges of building with a mobile-first approach in India and the technology investments it made while adopting a mobile-first approach to everything it did; he'll also explain why Flipkart became the first Indian app to cross 50 million downloads in India.
2:00 pm - 2:25 pm	DEV TOOLS & OPS BrowserLab: Fully automated regression detection for the web byJeffrey Dunn, Facebook : This talk will cover techniques that Facebook is applying to handle highly dynamic content, isolate server variance from client-side performance, deal with nondeterministic code, and enable engineers to understand performance implications of their changes
2:00 pm - 2:25 pm	HOT TOPICS Deep learning in production At Facebook by Andrew Tulloch & Yangqing Jia, Facebook : From advertising relevance, news feed and search ranking to computer vision, face recognition, and speech recognition, Facebook runs Machine Language models at massive scale, computing trillions of predictions every day. The talk will be about some of the tools and tricks we use for scaling both the training and deployment of some of our deep learning models at Facebook. It will also cover some useful libraries that we've open-sourced for production-oriented deep learning applications.
2:30pm - 2:55pm	DATA MyRocks: Space and write optimized OLTP database by Yoshinori Matsunobu, Facebook : Facebook created and open-sourced a next generation OLTP SQL database on modern Flash storage called MyRocks - a RocksDB storage engine for MySQL. Facebook has used MySQL and UDB (largest database tires) which serves social activities such as comment, like, share etc.To optimize the space, Facebook wanted to utilize existing MySQL assets and created a new storage engine RockDB - MyRock. In this session the speaker will introduce MyRocks, its architecture, and how Facebook is using MyRocks now.
2:30pm - 2:55pm	MOBILE A practical guide to writing solid UI tests on Android by Valera Zakharov, Slack : Developer-driven testing is a great way to scale quality control as your team grows and code churn rises. While most developers are sold on unit testing their code, they are often intimidated by UI testing. In this session, Slack will share its thoughts on why it's worth having developers write UI tests for their features, as well as present practical information on how the Slack Android team approached this problem.
2:30pm - 2:55pm	DEV TOOLS & OPS Blazing fast: Scaling iOS at Uber by Alan Zeino, Uber : In the past year, Uber's Mobile Platform team has made major changes to improve development speed and agility for its engineers, with a focus on stability and meeting a high quality bar for its software; Alan Zeino will outline tooling and infrastructure changes that help its engineers check their code into master faster than ever before, and the recent effort to migrate all code into a monolithic repository using the Buck build tool - laying a foundation for future experimentation and growth in Uber's toolchain
3:00 pm - 3:25 pm	DATA No shard left behind: APIs for massive parallel efficiency by Dan Halperin, Google : Apache Beam evolved from a decade of system-building at Google, and Beam pipelines run today on both open source (Apache Flink, Apache Spark) and proprietary (Google Cloud Dataflow) runners. Google will discuss how these APIs enable a Beam data processing pipeline runner to dynamically rebalance work at runtime, to work around stragglers, and to automatically scale up and down cluster size as a job's workload changes.
3:00 pm - 3:25 pm	DEV TOOLS & OPS Benchmarking the cloud to build applications that work by Ivan Filho, Google : In this talk, Google will cover its pursue of a fair and meaningful Cloud benchmarking framework, PerfKit Benchmarker, from one of its performance engineers' perspective. The talk will cover the challenges and pitfalls the team faced in defining what matters, in addition to common customer challenges, and share how they were tackled.
3:00 pm - 3:25 pm	HOT TOPICS Creating and scaling Spotify's Discover Weekly playlist by Edward Newett, Spotify : Discover Weekly is a personalized mixtape of 30 highly personalized songs that's curated and delivered to Spotify's 100M active users every Monday. It's received high acclaim in the press and reached over 5B streams from 40M users since launch. In this talk we dive into the narrative of how Discover Weekly came to be, highlighting technical challenges, data-driven development, and the machine learning models used to power our recommendations engine.
3:30 pm - 4:00 pm	"Office Hours" and Break: During this break any one can meet previous speaker like Debanjan Saha at Amazon, Yoshinori Matsunobu at Facebook, etc.
3:30 pm - 3:55 pm	MOBILE Building with a mobile-first approach in India by Amar Nagaram, Flipkart : Flipkart will be sharing some of the challenges this throws at e-commerce businesses and how the company transformed itself and its technology to make things happen for its customers.
4:00 pm - 4:25 pm	DATA Dropbox Infinite : A different kind of distrubted system by Ben Newhouse, Dropbox : Project Infinite is one of the biggest evolutions in the Dropbox product since the shared folder, enabling users to see all of the content across their entire team on their local computer without syncing it first (and instead syncing it on demand). This talk will explore how a hack week project turned into a major company initiative, the technical decisions and trade-off in its design, and how Dropbox keeps the quality bar high as it wields deeper and deeper integrations into the filesystem across hundreds of millions of devices.
4:00 pm - 4:25 pm	MOBILE HTTP2 server push: Lower latencies around the world by Ranjeeth Dasineni & Saral Shodhan, Facebook : With HTTP2 push, Facebook has built out a new client/server interaction model, which now makes it possible for the company's Edge/FBCDN servers to 'push' required images and Live streams from the server for a News Feed story or on-going live stream. HTTP2 Server push features are now available to the public. This talk will cover how Facebook leverages HTTP2 to achieve lower latencies.
4:00 pm - 4:25 pm	Dev Tools & Ops Active fault finding in networks by Richard Sheehan, Facebook : He will explain about networking tools. If there is any fault in these tools, they indicate itself by syslog. But always it is not true. Richard will explain about network devices which drops packet even if it exist several layer inside the network.
4:00 pm - 4:25 pm	HOT TOPICS Machine learning at scale: FBLearner Flow by Pierre Andrews & Aditya Kalro, Facebook : This talk will focus on the training and distributing hundreds of models, monitoring performances, and sharing algorithms in a production environment requires tools to simplify the daily tasks of ML engineers. The former is a pipeline management system that facilitates experimentation, training, and comparison of models; the latter is an inference framework that uses the models to provide real-time inferences in production.
4:30 pm - 4:55 pm	DATA Airbnb's data evolution: Lessons from building a world-class data ecosystem byJames Mayfield and Swaroop Jagadish, Airbnb : Airbnb's mission is twofold: Empower employees to make data-informed decisions, and ensure that the Airbnb product learns from user feedback. From three years ago to today, the data teams rebuilt every major component of Airbnb's stack, stabilized the foundation of its platform, grew its suite of tools, created canonical data sets. They have done this while the company is in the midst of experiencing hypergrowth.
4:30 pm - 4:55 pm	MOBILE Octopus takes on the Uber challenge by Bian Jiang & Madhav Srinivasan, Uber: This talk will be based on how Uber implemented network record/replay and scenariobased testing for iOS/Android so its tests would run reliably on CI, covering the challenges faced and the lessons learned on the path to designing Uber's frameworks to ensure that its devs could write predictable and deterministic tests.
4:30 pm - 4:55 pm	DEV TOOLS & OPS Experimentation at Scale & Replicated RocksDB at Pinterest byChunyan Wang & Bo Liu, Pinterest : Discussion will be based on Pinterest's technical challenges and approaches to A/B testing and experimentation in general, and how, with RocksDB, the company has built stateful online services on replicated RocksDB to create high throughput and low latency online services operating on multiple large online updated and/or offline data sets to power many Pinterest products
4:30 pm - 4:55 pm	HOT TOPICS Managing an Open Source Program at Scale by Brandon Keepers of GitHub, Andrew Spyker of Netflix, Jeff McAffer of Microsoft : They will explain about open source software which mostly tech company using. They will explain it by tools, process and team structure to manage open source program
5:00 pm - 5:30 pm	DATA Ambry: Open source scalable geodistributed object store by Priyesh Narayanan & Holla Gopalakrishna, LinkedIn : Ambry is an open source, geodistributed, highly available, and horizontally scalable object store built at LinkedIn. The focus of this talk will be the architecture of Ambry and how the design decisions help it scale for both large and small objects. It will also cover how Ambry helped solve the main pain points of LinkedIn's legacy media store. Finally, LinkedIn will talk about the roadmap and about getting involved in this open source initiative.
5:00 pm - 5:20 pm	MOBILE Getting the most out of static analyzers by Sam Blackshear, facebook : Static analysis framework help to report bug early in development process. It is also used for analysis.
5:00 pm - 5:25 pm	DEV TOOLS & OPS Running Instagram by Lisa Guo, Instagram : Instagram is a social network mobile app that allows people to share the world's moments as they happen. It serves 300 million users on a daily basis throughout the world. In this talk, Topics will include a brief history of infrastructure evolution; overall architecture and multi-data center support; tuning of uwsgi parameters for scaling; performance monitoring and diagnosis; and django/python upgrade (why, challenges, and lessons learned).
5:00 pm - 5:30 pm	HOT TOPICS "Office Hours" and Break : Break to meet with Pierre Andrews and Aditya Kalro at Facebook, Brandon Keepers at GitHub, Surupa Biswas at Facebook, Jeff McAffer at Microsoft, and Andrew Spyker at Netflix for Q&A from the Hot Topics track.
5:30 pm - 6:00 pm	"Office Hours" and Break : During this period you can meet previous track speakers: Ben Newhouse at Dropbox, James Mayfield and Swaroop Jagadish at Google, and Priyesh Narayanan and Holla Gopalakrishna at LinkedIn. Mobile Track Speakers: Ranjeeth Dasineni and Saral Shodhan at Facebook, Bian Jiang and Madhav Srinivasan at Uber, and Sam Blackshear at Facebook. Dev Tools/Ops Track Speakers: Richard Sheehan at Facebook, Chunyan Wang and Bo Liu at Pinterest, and Lisa Guo at Instagram.
05:00 pm to 07:00 pm	Cocktail Hour

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