AWS re:Invent 2016

AWS re:Invent 2016

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AWS re:Invent 2016 episodes

  • DAT312: How DataXu scaled its Attribution System to handle billions of events per day with Amazon DynamoDB
    'Attribution' is the marketing term of art for allocating full or partial credit to individual advertisements that eventually lead to a purchase, sign up, download, or other desired consumer interaction. We'll share how we use DynamoDB at the core of our attribution system to store terabytes of advertising history data. The system is cost effective and dynamically scales from 0 to 300K requests per second on demand with predictable performance and low operational overhead.
    50 min
  • DAT313: 6 Million New Registrations in 30 Days: How the Chick-fil-A One App Scaled with AWS
    Chris leads the team providing back-end services for the massively popular Chick-fil-A One mobile app that launched in June 2016. Chick-fil-A follows AWS best practices for web services and leverages numerous AWS services, including Elastic Beanstalk, DynamoDB, Lambda, and Amazon S3. This was the largest technology-dependent promotion in Chick-fil-A history. To ensure their architecture would perform at unknown and massive scale, Chris worked with AWS Support through an AWS Infrastructure Event Management (IEM) engagement and leaned on automated operations to enable load testing before launch.
    45 min
  • DAT315: Streaming ETL for RDS and DynamoDB
    During this session Greg Brandt and Liyin Tang, Data Infrastructure engineers from Airbnb, will discuss the design and architecture of Airbnb's streaming ETL infrastructure, which exports data from RDS for MySQL and DynamoDB into Airbnb's data warehouse, using a system called SpinalTap. We will also discuss how we leverage Spark Streaming to compute derived data from tracking topics and/or database tables, and HBase to provide immediate data access and generate cleanly time-partitioned Hive tables.
    41 min
  • DAT316: How Telltale Games migrated its story analytics from Apache CouchDB to Amazon DynamoDB
    Every choice made in Telltale Games titles influences how your character develops and how the world responds to you. With millions of users making thousands of choices in a single episode, Telltale Games tracks this data and leverages it to build more relevant stories in real time as the season is developed. In this session, you’ll learn about Telltale Games’ migration from Apache CouchDB to Amazon DynamoDB, the challenges of adjusting capacity to handling spikes in database activity, and how it streamlined its analytics storage to provide new perspectives of player interaction to improve its games.
    33 min
  • DAT317: Learn how IFTTT uses ElastiCache for Redis to predict events and index terabytes of logs
    IFTTT is a free service that empowers people to do more with the services they love, from automating simple tasks to transforming how someone interacts with and controls their home. IFTTT uses ElastiCache for Redis to store transaction run history and schedule predictions as well as indexes for log documents on S3. Join this session to learn how the scripting power of Lua and the data types of Redis allowed them to accomplish something they would not have been able to elsewhere.
    31 min
  • DAT318: Migrating from RDBMS to NoSQL: How PlayStation Network Moved from MySQL to Amazon DynamoDB
    In this session, you will learn the key differences between a relational database management service (RDBMS) and non-relational (NoSQL) databases like Amazon DynamoDB. You will learn about suitable and unsuitable use cases for NoSQL databases. You'll learn strategies for migrating from an RDBMS to DynamoDB through a 5-phase, iterative approach. See how Sony migrated an on-premises MySQL database to the cloud with Amazon DynamoDB, and see the results of this migration.
    44 min
  • DAT320: AWS Database State of the Union
    Raju Gulabani, vice president of AWS Database Services (AWS), discusses the evolution of database services on AWS and the new database services and features we launched this year, and shares our vision for continued innovation in this space. We are witnessing an unprecedented growth in the amount of data collected, in many different shapes and forms. Storage, management, and analysis of this data requires database services that scale and perform in ways not possible before. AWS offers a collection of such database and other data services like Amazon Aurora, Amazon DynamoDB, Amazon RDS, Amazon Redshift, Amazon ElastiCache, Amazon Kinesis, and Amazon EMR to process, store, manage, and analyze data. In this session, we provide an overview of AWS database services and discuss how our customers are using these services today.
    48 min
  • DCS201: Open-Source Resources
    This session discusses the open-source community, its vital place within the AWS ecosystem, and how AWS works to provide seamless integration points. Our speakers share their experiences building and deploying cloud-based open-source projects while also reviewing some of today's most popular and relevant open-source platforms and solutions.
    41 min
  • DCS202: AWS Training Opportunities
    Currently, a breadth of AWS training opportunities are available worldwide, both led by AWS and through community-driven training platforms. In this session, community leaders sort through the different training resources, discuss the resources they used to help them become AWS experts, and explain how different training solutions can complement one another.
    43 min
  • DCS203: Building and Growing a Successful AWS User Group
    Our panel of experts lead AWS user groups in San Francisco, Yokohama, Munich, and Shanghai. In this session they share the stories behind how their groups began, list best practices for sustaining a technical meetup over time, and offer advice for AWS enthusiasts who are considering starting up a new user group in their city.
    50 min

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