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<table>
<tr>
<td>
<b>ALX201 - How Capital One Built a Voice-Based Banking Skill for Amazon Echo</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-how-capital-one-built-a-voicebased-banking-skill-for-amazon-echo-alx201" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=-MtwpZFmexg" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
</tr>
<tr>
<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">As we add thousands of skills to Alexa, our developers have uncovered some basic and more complex tips for building better skills. Whether you are new to Alexa skill development or if you have created skills that are live today, this session helps you understand how to create better voice experiences. Last year, Capital One joined Alexa on stage at re:Invent to talk about their experience building an Alexa skill. Hear from them one year later to learn from the challenges that they had to overcome and the results they are seeing from their skill. In this session, you will learn the importance of flexible invocations, better VUI design, how OAuth and account linking can add value to your skill, and about Capital One's experience building an Alexa skill.</td>
</tr>
<tr>
<td>
<b>ALX202 - How Amazon is enabling the future of Automotive</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-how-amazon-is-enabling-the-future-of-automotivealx202" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=CYTJigrhNnY" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
</tr>
<tr>
<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">The experience in the auto industry is changing. For both the driver and the car manufacturer, a whole new frontier is on the near horizon. What do you do with your time while the car is driving itself? How do I have a consistent experience while driving shared or borrowed cars? How do I stay safer and more aware in the ever increasing complexity of traffic, schedules, calls, messages and tweets? In this session we will discuss how the auto industry is facing new challenges and how the use of Amazon Alexa, IoT, Logistics services and the AWS Cloud is transforming the Mobility experience of the (very near) future.</td>
</tr>
<tr>
<td>
<b>ALX203 - Workshop: Creating Voice Experiences with Alexa Skills: From Idea to Testing in Two Hours</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-workshop-creating-voice-experiences-with-alexa-skills-from-idea-to-testing-in-two-hours-alx203" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
</td>
</tr>
<tr>
<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">This workshop teaches you how to build your first voice skill with Alexa. You bring a skill idea and well show you how to bring it to life. This workshop will walk you through how to build an Alexa skill, including Node.js setup, how to implement an intent, deploying to AWS Lambda, and how to register and test a skill. Youll walk out of the workshop with a working prototype of your skill idea.
Prerequisites:
Participants should have an AWS account established and available for use during the workshop.
Please bring your own laptop.</td>
</tr>
<tr>
<td>
<b>ALX204 - Workshop: Build an Alexa-Enabled Product with Raspberry Pi</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-workshop-build-an-alexaenabled-product-with-raspberry-pi-alx204" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
</td>
</tr>
<tr>
<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Fascinated by Alexa, and want to build your own device with Alexa built in? This workshop will walk you through to how to build your first Alexa-powered device step by step, using a Raspberry Pi. No experience with Raspberry Pi or Alexa Voice Service is required. We will provide you with the hardware and the software required to build this project, and at the end of the workshop, you will be able to walk out with a working prototype of Alexa on a Pi.
Please bring a WiFi capable laptop.</td>
</tr>
<tr>
<td>
<b>ALX301 - Alexa in the Enterprise: How JPL Leverages Alexa to Further Space Exploration with Internet of Things</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-alexa-in-the-enterprise-how-jpl-leverages-alexa-to-further-space-exploration-with-internet-of-things-alx301" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=DX81bK-gjYI" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
</tr>
<tr>
<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">The Jet Propulsion Laboratory designs and creates some of the most advanced space robotics ever imagined. JPL IT is now innovating to help streamline how JPLers will work in the future in order to design, build, operate, and support these spacecraft. They hope to dramatically improve JPLers' workflows and make their work easier for them by enabling simple voice conversations with the room and the equipment across the entire enterprise.
What could this look like? Imagine just talking with the conference room to configure it. What if you could kick off advanced queries across AWS services and kick off AWS Kinesis tasks by simply speaking the commands? What if the laboratory could speak to you and warn you about anomalies or notify you of trends across your AWS infrastructure? What if you could control rovers by having a conversation with them and ask them questions? In this session, JPL will demonstrate how they leveraged AWS Lambda, DynamoDB and CloudWatch in their prototypes of these use cases and more. They will also discuss some of the technical challenges they are overcoming, including how to deploy and manage consumer devices such as the Amazon Echo across the enterprise, and give lessons learned. Join them as they use Alexa to query JPL databases, control conference room equipment and lights, and even drive a rover on stage, all with nothing but the power of voice!</td>
</tr>
<tr>
<td>
<b>ALX302 - Build a Serverless Back End for Your Alexa-Based Voice Interactions</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-build-a-serverless-back-end-for-your-alexabased-voice-interactionsalx302" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=BW1aXNl8kSA" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
</tr>
<tr>
<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Learn how to develop voice-based serverless back ends for Alexa Voice Service (AVS) and Alexa devices using the Alexa Skills Kit (ASK), which allows you to add new voice-based interactions to Alexa. Well code a new skill, implemented by a serverless backend leveraging AWS services such as Amazon Cognito, AWS Lambda, and Amazon DynamoDB. Often, your skill needs to authenticate your users and link them back to your backend systems and to persist state between user invocations. User authentication is performed by leveraging OAuth compatible identity systems. Running such a system on your back end requires undifferentiated heavy lifting or boilerplate code. Well leverage Login with Amazon as the identity provider instead, allowing you to focus on your application implementation and not on the low-level user management parts. At the end of this session, youll be able to develop your own Alexa skills and use Amazon and AWS services to minimize the required backend infrastructure. This session shows you how to deploy your Alexa skill code on a serverless infrastructure, leverage AWS Lambda, use Amazon Cognito and Login with Amazon to authenticate users, and leverage AWS DynamoDB as a fully managed NoSQL data store.</td>
</tr>
<tr>
<td>
<b>ALX303 - Building a Smarter Home with Alexa</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-building-a-smarter-home-with-alexaalx303" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=4bhG5gT6__w" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
</tr>
<tr>
<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Natural user interfaces, such as those based on speech, enable customers to interact with their home in a more intuitive way. With the VUI (Voice User Interface) smart home, now customers don't need to use their hands or eyes to do things around the home they only have to ask and it's at their command. This session will address the vision for the VUI smart home and how innovations with Amazon Alexa make it possible.</td>
</tr>
<tr>
<td>
<b>ALX304 - Tips and Tricks on Bringing Alexa to Your Products</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-tips-and-tricks-on-bringing-alexa-to-your-products-alx304" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=HwHwONzv0HA" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
</tr>
<tr>
<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Ever wonder what it takes to add the power of Alexa to your own products? Are you curious about what Alexa partners have learned on their way to a successful product launch? In this session you will learn about the top tips and tricks on how to go from VUI newbie to an Alexa-enabled product launch. Key concepts around hardware selection, enabling far field voice interaction, building a robust Alexa Voice Service (AVS) client and more will be discussed along with customer and partner examples on how to plan for and avoid common challenges in product design, development and delivery.</td>
</tr>
<tr>
<td>
<b>ALX305 - From VUI to QA: Building a Voice-Based Adventure Game for Alexa</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-from-vui-to-qa-building-a-voicebased-adventure-game-for-alexa-alx305" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=bj_z1N1wWGU" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
</tr>
<tr>
<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Hitting the submit button to publish your skill is similar to sending your child to their first day of school. You want it to be set up for a successful launch day and for many days thereafter. Learn how to set your skill up for success from Andy Huntwork, Alexa Principal Engineer and one of the creators of the popular Alexa skill The Magic Door. You will learn the most common reasons why skills fail and also some of the more unique use cases. The purpose of this session is to help you build better skills by knowing what to look out for and what you can test for before submitting. In this session, you will learn what most developers do wrong, how to successfully test and QA your skill, how to set your skill up for successful certification, and the process of how a skill gets certified.</td>
</tr>
<tr>
<td>
<b>ALX306 - State of the Union: Amazon Alexa and Recent Advances in Conversational AI</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-state-of-the-union-amazon-alexa-and-recent-advances-in-conversational-ai-alx306" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=K0G6sGeArc0" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
</tr>
<tr>
<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">The way humans interact with machines is at a turning point, and conversational artificial intelligence (AI) is at the center of the transformation. Learn how Amazon is using machine learning and cloud computing to fuel innovation in AI, making Amazon Alexa smarter every day. Alexa VP and Head Scientist Rohit Prasad presents the state of the union Alexa and Recent Advances in Conversational AIn for Alexa. He addresses Alexa's advances in spoken language understanding and machine learning, and shares Amazon's thoughts about building the next generation of user experiences.</td>
</tr>
<tr>
<td>
<b>ALX307 - Voice-enabling Your Home and Devices with Amazon Alexa and AWS IoT</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-voiceenabling-your-home-and-devices-with-amazon-alexa-and-aws-iot-alx307" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=mtfPvRia0F4" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Want to learn how to Alexa-power your home? Join Brookfield Residential CIO and EVP Tom Wynnyk and Senior Solutions Architect Nathan Grice, for Alexa Smart Homefor an overview of building the next generation of integrated smart homes using Alexa to create voice-first experiences. Understand the technologies used and how to best expose voice experiences to users through Alexa. Paul and Nathan cover the difference between custom Alexa skills and Smart Home Skill API skills, and build a home automation control from the ground up using Alexa and AWS IoT.</td>
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<td>
<b>ARC201 - Scaling Up to Your First 10 Million Users</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-scaling-up-to-your-first-10-million-users-arc201" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=n28lDDdlnVg" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.</td>
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<b>ARC202 - Accenture Cloud Platform Serverless Journey</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-accenture-cloud-platform-serverless-journey-arc202" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=orytBpg5BFg" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Accenture Cloud Platform helps customers manage public and private enterprise cloud resources effectively and securely. In this session, learn how we designed and built new core platform capabilities using a serverless, microservices-based architecture that is based on AWS services such as AWS Lambda and Amazon API Gateway. During our journey, we discovered a number of key benefits, including a dramatic increase in developer velocity, a reduction (to almost zero) of reliance on other teams, reduced costs, greater resilience, and scalability. We describe the (wild) successes weve had and the challenges weve overcome to create an AWS serverless architecture at scale. Session sponsored by Accenture.
AWS Competency Partner</td>
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<td>
<b>ARC203 - Achieving Agility by Following Well-Architected Framework Principles on AWS</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-achieving-agility-by-following-wellarchitected-framework-principles-on-aws-arc203" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=8e2zCHx-K3M" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">The AWS Well-Architected Framework enables customers to understand best practices around security, reliability, performance, and cost optimization when building systems on AWS. This approach helps customers make informed decisions and weigh the pros and cons of application design patterns for the cloud. In this session, you'll learn how National Instruments used the Well-Architected Framework to follow AWS guidelines and best practices. By developing a strategy based on the AWS Well-Architected Framework, National Instruments was able to triple the number of applications running in the cloud without additional head count, significantly increase the frequency of code deployments, and reduce deployment times from two weeks to a single day. As a result, National Instruments was able to deliver a more scalable, dynamic, and resilient LabVIEW platform with agility.</td>
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<td>
<b>ARC204 - From Resilience to Ubiquity - #NetflixEverywhere Global Architecture</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-from-resilience-to-ubiquity-netflixeverywhere-global-architecture-arc204" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=leqUbSY55hY" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Building and evolving a pervasive, global service requires a multi-disciplined approach that balances requirements with service availability, latency, data replication, compute capacity, and efficiency. In this session, well follow the Netflix journey of failure, innovation, and ubiquity. We'll review the many facets of globalization and then delve deep into the architectural patterns that enable seamless, multi-region traffic management; reliable, fast data propagation; and efficient service infrastructure. The patterns presented will be broadly applicable to internet services with global aspirations.</td>
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<td>
<b>ARC205 - Born in the Cloud; Built Like a Startup</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-born-in-the-cloud-built-like-a-startup-arc205" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=Ws0hIKf81MQ" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">This presentation provides a comparison of three modern architecture patterns that startups are building their business around. It includes a realistic analysis of cost, team management, and security implications of each approach. It covers Elastic Beanstalk, Amazon ECS, Docker, Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon CloudFront, as well as Docker.</td>
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<td>
<b>ARC207 - NEW LAUNCH! Additional transparency and control for your AWS environment through AWS Personal Health Dashboard</b>
</td>
<td align="right" width="90">
<a href="https://www.youtube.com/watch?v=0kW2rkfQgvM" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">When your business is counting on the performance of your cloud solutions, having relevant and timely insights into events impacting your AWS resources is essential. AWS Personal Health Dashboard serves as the primary destination for you to receive personalized information related to your AWS infrastructure, guiding your through scheduled changes, and accelerating the troubleshooting of issues impacting your AWS resources. The service, powered by AWS Health APIs, integrates with your in-house event management systems, and can be programmatically configured to proactively get the right information into the right hands at the right time. The service is integrated with Splunk App for AWS to enhance Splunks dashboards, reports and alerts to deliver real-time visibility into your environment.</td>
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<td>
<b>ARC208 - Hybrid Architectures: Bridging the Gap to the Cloud</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-hybrid-architectures-bridging-the-gap-to-the-cloud-arc208" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=76lpflc55kk" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">AWS provides many services to assist customers with their journey to the cloud. Hybrid solutions offer customers a way to continue leveraging existing investments on-premises, while expanding their footprint into the public cloud. This session covers the different technologies available to support hybrid architectures on AWS. We discuss common patterns and anti-patterns for solving enterprise workloads across a hybrid environment.</td>
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<td>
<b>ARC209 - Attitude of Iteration</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-attitude-of-iteration-arc209" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=fQJpn69twgg" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">In todays world, technology changes at a breakneck speed. What was new this morning is outdated at lunch. Working in the AWS Cloud is no different. Every week, AWS announces new features or improvements to current products. As AWS technologists, we must assimilate these new technologies and make decisions to adopt, reject, or defer. These decisions can be overwhelming: we tend to either reject everything and become stagnant, or adopt everything and never get our project out the door. In this session we will discuss the attitude of iteration. The attitude of iteration allows us to face the challenges of change without overwhelming our technical teams with a constant tug-o-war between implementation and improvement. Whether youre an architect, engineer, developer, or AWS newbie, prepare to laugh, cry, and commiserate as we talk about overcoming these challenges. Session sponsored by Rackspace.</td>
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<td>
<b>ARC210 - Workshop: Addressing Your Business Needs with AWS</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-workshop-addressing-your-business-needs-with-aws-arc210" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Come and participate with other AWS customers as we focus on the overall experience of using AWS to solve business problems. This is a great opportunity to collaborate with existing and prospective AWS users to validate your thinking and direction with AWS peers, discuss the resources that aid AWS solution design, and give direct feedback on your experience building solutions on AWS.</td>
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<td>
<b>ARC211 - Solve common problems with ready to use solutions in 5 minutes or less</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-solve-common-problems-with-ready-to-use-solutions-in-5-minutes-or-less-arc211" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=hFxAWINFsD4" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Regularly, customers at AWS assign resources to create solutions that address common problems shared between businesses of all sizes. Often, this results in taking resources away from products or services that truly differentiate the business in the marketplace. The Solutions Builder team at AWS focuses on developing and publishing a catalog of repeatable, standardized solutions that can be rapidly deployed by customers to overcome common business challenges. In this session, the Solutions Builder team will share ready to use solutions that make it easy for anyone to create a transit VPC, centralized logging, a data lake, scheduling for Amazon EC2, and VPN monitoring. Along the way, the team reveals the architectural tenets and best practices they follow for the development of these solutions. In the end, customers are introduced to a catalog of freely available solutions with a peek into the architectural approaches used by an internal team at AWS.</td>
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<td>
<b>ARC212 - Salesforce: Helping Developers Deliver Innovations Faster</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-salesforce-helping-developers-deliver-innovations-fasterarc212" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=hpa9mCnEY7Q" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Salesforce is one of the most innovative enterprise software companies in the world, delivering 3 major releases a year with hundreds of features in each release. In this session, come learn how we enable thousands of engineers within Salesforce to utilize a flexible development environment to deliver these innovations to our customers faster. We show you how we enable engineers at Salesforce to test not only individual services they are developing but also large scale service integrations. Also learn how we can achieve setup of a representative production environment in minutes and teardown in seconds, using AWS.</td>
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<td>
<b>ARC213 - Open Source at AWS—Contributions, Support, and Engagement</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-open-source-at-awscontributions-support-and-engagementarc213" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=FHgJ6POTrms" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Over the last few years, we have seen a dramatic increase in the use of open source projects as the mainstay of architectures in both startups and enterprises. Many of our customers and partners also run their own open source programs and contribute key technologies to the industry as a whole (see DCS201). At AWS weengage with open source projects in a number of ways. Wecontribute bug fixesand enhancementstopopular projectsincluding ourwork with the Hadoop ecosystem (see BDM401), Chromium(see BAP305) and (obviously) Boto.We have our own standalone projectsincludingthe security library s2n (see NET405)and machine learning project MXnet (see MAC401).Wealsohave services that make open source easier to use like ECS for Docker (see CON316), and RDS for MySQL and PostgreSQL (see DAT305).In this session you will learn about our existing open source work across AWS, and our next steps.</td>
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<td>
<b>ARC301 - Architecting Next Generation SaaS Applications on AWS</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-architecting-next-generation-saas-applications-on-aws-arc301" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=vg5onp8TU6Q" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">AWS provides a broad array of services, tools, and constructs that can be used to design, operate, and deliver SaaS applications. In this session, Tod Golding, the AWS Partner Solutions Architect, shares the wisdom and lessons learned from working with dozens of customers and partners building SaaS solutions on AWS. We discuss key architectural strategies and patterns that are used to deliver multi-tenant SaaS models on AWS and dive into the full spectrum of SaaS design and architecture considerations, including tenant isolation models, tenant identity management, serverless SaaS, and multi-tenant storage strategies. This session connects the dots between general SaaS best practices and what it means to realize these patterns on AWS, weighing the architectural tradeoffs of each model and assessing its influence on the agility, manageability, and cost profile of your SaaS solution.</td>
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<td>
<b>ARC302 - From One to Many: Evolving VPC Design</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-from-one-to-many-evolving-vpc-design-arc302" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=3Gv47NASmU4" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">As more customers adopt Amazon VPC architectures, the features and flexibility of the service are squaring off against evolving design requirements. This session follows this evolution of a single regional VPC into a multi-VPC, multi-region design with diverse connectivity into on-premises systems and infrastructure. Along the way, we investigate creative customer solutions for scaling and securing outbound VPC traffic, securing private access to Amazon S3, managing multi-tenant VPCs, integrating existing customer networks through AWS Direct Connect, and building a full VPC mesh network across global regions.</td>
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<td>
<b>ARC303 - Cloud Monitoring - Understanding, Preparing, and Troubleshooting Dynamic Apps on AWS</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-cloud-monitoring-understanding-preparing-and-troubleshooting-dynamic-apps-on-aws-arc303" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=vF2UV2jjbjo" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Applications running in a typical data center are static entities. Dynamic scaling and resource allocation are the norm in AWS. Technologies such as Amazon EC2, Docker, AWS Lambda, and Auto Scaling make tracking resources and resource utilization a challenge. The days of static server monitoring are over.
In this session, we examine trends weve observed across thousands of customers using dynamic resource allocation and discuss why dynamic infrastructure fundamentally changes your monitoring strategy. We discuss some of the best practices weve learned by working with New Relic customers to build, manage, and troubleshoot applications and dynamic cloud services. Session sponsored by New Relic.
AWS Competency Partner</td>
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<td>
<b>ARC304 - Effective Application Data Analytics for Modern Applications</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-effective-application-data-analytics-for-modern-applications-arc304" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=d16aUztH9hk" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">IT is evolving from a cost center to a source of continuous innovation for business. At the heart of this transition are modern, revenue-generating applications, based on dynamic architectures that constantly evolve to keep pace with end-customer demands. This dynamic application environment requires a new, comprehensive approach to traditional monitoring one based on real-time, end-to-end visibility and analytics across the entire application lifecycle and stack, instead of monitoring by piecemeal. This presentation highlights practical advice on how developers and operators can leverage data and analytics to glean critical information about their modern applications. In this session, we will cover the types of data important for todays modern applications. Well discuss visibility and analytics into data sources such as AWS services (e.g., Amazon CloudWatch, AWS Lambda, VPC Flow Logs, Amazon EC2, Amazon S3, etc.), development tool chain, and custom metrics, and describe how to use analytics to understand business performance and behaviors. We discuss a comprehensive approach to monitoring, troubleshooting, and customer usage insights, provide examples of effective data analytics to improve software quality, and describe an end-to-end customer use case that highlights how analytics applies to the modern app lifecycle and stack. Session sponsored by Sumo Logic.
AWS Competency Partner</td>
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<td>
<b>ARC305 - From Monolithic to Microservices: Evolving Architecture Patterns in the Cloud</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-from-monolithic-to-microservices-evolving-architecture-patterns-in-the-cloud-arc305" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=oRIYtOsAlzk" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Gilt, a global e-commerce company, implemented a sophisticated microservices architecture on AWS to handle millions of customers visiting their site at noon every day. The microservices architecture pattern enables independent service scaling, faster deployments, better fault isolation, and graceful degradation. In this session, Emerson Loureiro, Sr. Software Engineer at Gilt, will share Gilt's experiences and lessons learned during their evolution from a single monolithic Rails application in a traditional data center to more than 300 Scala/Java microservices deployed in the cloud.Derek Chiles, AWS Solutions Architect, will review best practices and recommended architectures for deploying microservices on AWS.</td>
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<td>
<b>ARC306 - Event Handling at Scale: Designing an Auditable Ingestion and Persistence Architecture for 10K+ events/second</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-event-handling-at-scale-designing-an-auditable-ingestion-and-persistence-architecture-for-10k-eventssecond-arc306" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=p57z-3eXcKI" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">How does McGraw-Hill Education use the AWS platform to scale and reliably receive 10,000 learning events per second? How do we provide near-real-time reporting and event-driven analytics for hundreds of thousands of concurrent learners in a reliable, secure, and auditable manner that is cost effective? MHE designed and implemented a robust solution that integrates AWS API Gateway, AWS Lambda, Amazon Kinesis, Amazon S3, Amazon Elasticsearch Service, Amazon DynamoDB, HDFS, Amazon EMR, Amazopn EC2, and other technologies to deliver this cloud-native platform across the US and soon the world. This session describes the challenges we faced, architecture considerations, how we gained confidence for a successful production roll-out, and the behind-the-scenes lessons we learned.</td>
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<td>
<b>ARC307 - Accelerating Next Generation Healthcare Business on the AWS Cloud</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-accelerating-next-generation-healthcare-business-on-the-aws-cloudarc307" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=WL2xSMVXy5w" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Hear Geneia's design principles for using multiple technologies like Elastic Load Balancing and Auto Scaling in end-to-end solutions to meet regulatory requirements. Explore how to meet HIPAA regulations by using native cloud services like Amazon EC2, Amazon EBS volumes, encryption services, and monitoring features in addition to third-party tools to ensure end-to-end data protection, privacy, and security for protected health information (PHI) data hosted in the AWS Cloud. Learn how Geneia leveraged multiregion and multizone backup and disaster recovery solutions to address the recovery time objective (RTO) and recovery point objective (RPO) requirements. Discover how automated build, deployment, provisioning, and virtual workstations in the cloud enabled Geneia's developers and data scientists to quickly provision resources and work from any location, expediting the onboarding of customers, getting to market faster, and capturing bigger market share in healthcare analytics while minimizing costs. Session sponsored by Cognizant.
AWS Competency Partner</td>
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<td>
<b>ARC308 - Metering Big Data at AWS: From 0 to 100 Million Records in 1 Second</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-metering-big-data-at-aws-from-0-to-100-million-records-in-1-second-arc308" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=dD1wzEdQCb4" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Learn how AWS processes millions of records per second to support accurate metering across AWS and our customers. This session shows how we migrated from traditional frameworks to AWS managed services to support a large processing pipeline. You will gain insights on how we used AWS services to build a reliable, scalable, and fast processing system using Amazon Kinesis, Amazon S3, and Amazon EMR. Along the way we dive deep into use cases that deal with scaling and accuracy constraints. Attend this session to see AWSs end-to-end solution that supports metering at AWS.</td>
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<td>
<b>ARC309 - Moving Mission Critical Apps from One Region to Multi-Region active/active</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-moving-mission-critical-apps-from-one-region-to-multiregion-activeactive-arc309" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=C4c0pkY4NgQ" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">In gaming, low latencies and connectivity are bare minimum expectations users have while playing online on PlayStation Network. Alex and Dustin share key architectural patterns to provide low latency, multi-region services to global users. They discuss the testing methodologies and how to programmatically map out a large dependency multi-region deployment with data-driven techniques. The patterns shared show how to adapt to changing bottlenecks and sudden, several million request spikes. Youll walk away with several key architectural patterns that can service users at global scale while being mindful of costs.</td>
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<td>
<b>ARC310 - Cost Optimizing Your Architecture: Practical Design Steps For Big Savings</b>
</td>
<td align="right" width="90">
<a href="https://www.youtube.com/watch?v=qYHR_V1lvNU" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Did you know that AWS enables builders to architect solutions for price? Beyond the typical challenges of function, performance, and scale, you can make your application cost effective. Using different architectural patterns and AWS services in concert can dramatically reduce the cost of systems operation and per-transaction costs. This session uses practical examples aimed at architects and developers. Using code and AWS CloudFormation in concert with services such as Amazon EC2, Amazon ECS, Lambda, Amazon RDS, Amazon SQS, Amazon SNS, Amazon S3, CloudFront, and more, we demonstrate the financial advantages of different architectural decisions. Attendees will walk away with concrete examples, as well as a new perspective on how they can build systems economically and effectively.
Attendees at this session will receive a free 30 day trial of AWS Trusted Advisor.</td>
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<td>
<b>ARC311 - Evolving a Responsive and Resilient Architecture to Analyze Billions of Metrics</b>
</td>
<td align="right" width="90">
<a href="https://www.youtube.com/watch?v=-LiQCpPj8RM" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Nike+ is at the core of the Nike digital product ecosystem, providing services to enhance your athletic experience through quantified activity tracking and gamification. As one of the first movers at Nike to migrate out of the datacenter to AWS, they share the evolution in building a reactive platform on AWS to handle large, complex data sets. They provide a deep technical view of how they process billions of metrics a day in their quantified-self platform, supporting millions of customers worldwide. Youll leave with ideas and tools to help your organization scale in the cloud. Come learn from experts who have built an elastic platform using Java, Scala, and Akka, leveraging the power of many AWS technologies like Amazon EC2, ElastiCache, Amazon SQS, Amazon SNS, DynamoDB, Amazon ES, Lambda, Amazon S3, and a few others that helped them (and can help you) get there quickly.</td>
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<td>
<b>ARC312 - Compliance Architecture: How Capital One Automates the Guard Rails for 6,000 Developers</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-open-source-at-awscontributions-support-and-engagementarc213" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=wFEoFyP_gMc" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">What happens when you give 6,000 developers access to the cloud? Introducing Cloud Custodian, an open source project from Capital One, which provides a DSL for AWS fleet management that operates in real-time using CloudWatch Events and Lambda. Cloud Custodian is used for the gamut of compliance, encryption, and cost optimization. What can it do for you?</td>
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<td>
<b>ARC313 - Running Lean Architectures: How to Optimize for Cost Efficiency</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-running-lean-architectures-how-to-optimize-for-cost-efficiency-arc313" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=pFpv6FsCVfY" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Whether youre a cash-strapped startup or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. This session reviews a wide range of cost planning, monitoring, and optimization strategies, featuring real-world experience from AWS customers. We cover how to effectively combine Amazon EC2 On-Demand, Reserved, and Spot instances to handle different use cases; leveraging Auto Scaling to match capacity to workload; choosing the optimal instance type through load testing; taking advantage of Multi-AZ support; and using Amazon CloudWatch to monitor usage and automatically shut off resources when they are not in use. We discuss taking advantage of tiered storage and caching, offloading content to Amazon CloudFront to reduce back-end load, and getting rid of your back end entirely by leveraging AWS high-level services. We also showcase simple tools to help track and manage costs, including Cost Explorer, billing alerts, and AWS Trusted Advisor. This session is your pocket guide for running cost effectively in the Amazon Cloud.
Attendees of this session receive a free 30-day trial of enterprise-level Trusted Advisor.</td>
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<td>
<b>ARC314 - Enabling Enterprise Migrations: Creating an AWS Landing Zone</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-enabling-enterprise-migrations-creating-an-aws-landing-zone-arc314" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=nXdgc1GREiU" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">With customers migrating workloads to AWS, we are starting to see a need for the creation of a prescribed landing zone, which uses native AWS capabilities and meets or exceeds customers' security and compliance objectives. In this session, we will describe an AWS landing zone and will cover solutions for account structure, user configuration, provisioning, networking and operation automation. This solution is based on AWS native capabilities such as AWS Service Catalog, AWS Identity and Access Management, AWS Config Rules, AWS CloudTrail and Amazon Lambda. We will provide an overview of AWS Service Catalog and how it be used to provide self-service infrastructure to applications users, including various options for automation. After this session you will be able to configure an AWS landing zone for successful large scale application migrations. Additionally, Philips will explain their cloud journey and how they have applied their guiding principles when building their landing zone.</td>
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<td>
<b>ARC315 - The Enterprise Fast Lane - What Your Competition Doesn't Want You To Know About Enterprise Cloud Transformation</b>
</td>
<td align="right" width="90">
<a href="https://www.youtube.com/watch?v=IHLJVcejDvU" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Fed up with stop and go in your data center? Shift into overdrive and pull into the fast lane!
Learn how AutoScout24, the largest online car marketplace Europe-wide, are building their Autobahn in the Cloud.
The secret ingredient? Culture! Because Cloud is only one half of the digital transformation story: The other half is how your organization deals with cultural change as you transition from the old world of IT into building microservices on AWS with agile DevOps teams in a true you build it you run it fashion.
Listen to stories from the trenches, powered by Amazon Kinesis, Amazon DynamoDB, AWS Lambda, Amazon ECS, Amazon API Gateway and much more, backed by AWS Partners, AWS Professional Services, and AWS Enterprise Support.
Key takeaways: How to become Cloud native, evolve your architecture step by step, drive cultural change across your teams, and manage your companys transformation for the future.</td>
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<td>
<b>ARC316 - Hybrid IT: A Stepping Stone to All-In</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-hybrid-it-a-stepping-stone-to-allin-arc316" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=tnMTH4g6jww" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">This session demonstrates how customers can leverage hybrid IT as a transitional step on the path to going all-in on AWS. We provide a step-by-step walk-through focusing on seamless migration to the cloud, with consideration given to existing data centers, equipment, and staff retraining. Learn about the suite of capabilities AWS provides to ease and simplify your journey to the cloud.</td>
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<td>
<b>ARC318 - Busting the Myth of Vendor Lock-In: How D2L Embraced the Lock and Opened the Cage</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-busting-the-myth-of-vendor-lockin-how-d2l-embraced-the-lock-and-opened-the-cage-arc318" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=bIjdZO1g5ZE" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">When D2L first moved to the cloud, we were concerned about being locked-in to one cloud provider. We were compelled to explore the opportunities of the cloud, so we overcame our perceived risk, and turned it into an opportunity by self-rolling tools and avoiding AWS native services. In this session, you learn how D2L tried to bypass the lock buteventually embraced itand opened the cage. Avoiding AWS native tooling and pure lifts of enterprise architecture caused a drastic inflation of costs. Learn how we shifted away from a self-rolled lift into an efficient and effective shift while prioritizing cost, client safety, AND speed of development. Learn from D2L'ssuccesses and missteps, and convert your own enterprise systems into the cloud both through native cloud births and enterprise conversions. This session discusses D2Ls use of Amazon EC2 (with aguest appearance by Reserved Instances), Elastic Load Balancing, Amazon EBS, Amazon DynamoDB, Amazon S3, AWS CloudFormation, AWS CloudTrail, Amazon CloudFront, AWS Marketplace, Amazon Route 53, AWS Elastic Beanstalk, and Amazon ElastiCache.</td>
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<td>
<b>ARC319 - Datapipe Open Source: Image Development Pipeline</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-datapipe-open-source-image-development-pipeline-arc319" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=ru2_2M3_ZhI" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">For an IT organization to be successful in rapid cloud assessment or iterative migration of their infrastructure and applications to AWS, they need to effectively plan and execute on a strategic cloud strategy that focuses not only on cloud, but also big data, DevOps, and security.Session sponsored by Datapipe.
AWS Competency Partner</td>
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<td>
<b>ARC320 - Workshop: AWS Professional Services Effective Architecting Workshop</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-workshop-aws-professional-services-effective-architecting-workshop-arc320" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">The AWS Professional Services team will be facilitating an architecture workshop exercise for certified AWS Architects. Class size will be limited to 48. This workshop will be a highly interactive architecture design exercise where the class will be randomly divided into teams and given a business case for which they will need to design an effective AWS solution. Past participants have found the interaction with people from other organizations and the creative brainstorming that occurs across 6 different teams greatly enhances the learning experience. Flipcharts will be provided and students are encouraged to bring their laptops to document their designs. Each team will be expected to present their solution to the class.</td>
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<td>
<b>ARC402 - Serverless Architectural Patterns and Best Practices</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-serverless-architectural-patterns-and-best-practices-arc402" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=b7UMoc1iUYw" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">As serverless architectures become more popular, AWS customers need a framework of patterns to help them deploy their workloads without managing servers or operating systems. This session introduces and describes four re-usable serverless patterns for web apps, stream processing, batch processing, and automation. For each, we provide a TCO analysis and comparison with its server-based counterpart. We also discuss the considerations and nuances associated with each pattern and have customers share similar experiences. The target audience is architects, system operators, and anyone looking for a better understanding of how serverless architectures can help them save money and improve their agility.</td>
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<td>
<b>ARC403 - Building a Microservices Gaming Platform for Turbine Mobile Games</b>
</td>
<td align="right" width="90">
<a href="https://www.youtube.com/watch?v=ykmqjgLdmL4" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Warner Bros Turbine team shares lessons learned from their enhanced microservices game platform, which uses Docker, Amazon EC2, Elastic Load Balancing, and Amazon ElastiCache to scale up in anticipation of massive game adoption. Learn about their Docker-based microservices architecture, tuned and optimized to support the demands of the massively popular [Batman: Arkham Underworld and other franchises]. Turbine invent and simplify microservices persistence services consolidating their previous NoSQL database solution with highly performant PostgreSQL on Amazon EC2 and Amazon EBS. Turbine also describes other innovative strategies, including integrated analytic techniques to anticipate and predict their scaling operations.</td>
</tr>
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<td>
<b>ARC404 - Migrating a Highly Available and Scalable Database from Oracle to Amazon DynamoDB</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-migrating-a-highly-available-and-scalable-database-from-oracle-to-amazon-dynamodb-arc404" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=gllNauRR8GM" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">In this session, we share how an Amazon.com team that owns a document management platform that manages billions of critical customer documents for Amazon.com migrated from a relational to a non-relational database. Initially, the service was built as an Oracle database. As it grew, the team discovered the limits of the relational model and decided to migrate to a non-relational database. They chose Amazon DynamoDB for its built-in resilience, scalability, and predictability. We provide a template that you can use to migrate from a relational data store to DynamoDB. We also provide details about the entire process: design patterns for moving from a SQL schema to a NoSQL schema; mechanisms used to transition from an ACID (Atomicity, Consistency, Isolation, Durability) model to an eventually consistent model; migration alternatives considered; pitfalls in common migration strategies; and how to ensure service availability and consistency during migration.</td>
</tr>
<tr>
<td>
<b>ARC405 - Running, Configuring, and Securing Windows Workloads</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-running-configuring-and-securing-windows-workloads-arc405" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=zXHmHFtA0kc" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">From servers to workstations, AWS provides the best place to run your Windows workloads. In this session, we'll discuss the ease of deploying Windows workloads on AWS, and architecting for performance, scalability, security, and cost savings. We will explore the use of AWS Directory Service, the Amazon EC2 Run command, and Windows PowerShell to bootstrap your instances for seamless Microsoft Active Directory integration, application installation, and management. We will walk through an architecture that includes Amazon RDS, Amazon EC2, and Amazon WorkSpaces, and discuss the secure relationships among these services. You will learn how you can use native AWS services as well as the tools you are already familiar with to manage your Windows environment.</td>
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<b>ARC406 - Encoding Artifacts to Emmy Awards: Taking on Terabyte-Scale, 1-Gbps, 4K Video Processing in the Cloud</b>
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<td align="right" width="90">
<a href="https://www.youtube.com/watch?v=5WdSkA39pv4" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">The advent of 4K video has resulted in a huge uptick in resource requirements, which is difficult to scale in a traditional environment. The cloud is a perfect environment for handling problems of this scale; however, there are many unanswered questions around best practices and suitable architectures for dealing with massive, high-quality assets. In this session, we will define problem cases and discuss practical architectural patterns for dealing with these challenges by using AWS services such as Amazon EC2 (graphical instances), Amazon EMR, Amazon S3, Amazon S3 Transfer Acceleration, Amazon Glacier, AWS Snowball, and the new magnetic EBS volumes. The best practices that we'll discuss will also be helpful to architects and engineers who are dealing with non-video data. Amazon Studios will present how, powered by AWS, they solved many of these problems and are able to create, manage, and distribute Emmy Award-winning content.</td>
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<b>ARC408 - Optimizing SaaS Solutions for AWS</b>
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<td align="right" width="90">
<a href="https://www.youtube.com/watch?v=D-8fTCz8_Yo" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">OK, so you have your SaaS application up and running on AWS and now the real fun begins. The adoption of SaaS and a shared multi-tenant infrastructure brings with it a unique set of challenges that require developers to find new and creative ways to optimize their SaaS applications. For many engineers, this means tackling a whole new realm of questions. How do you optimize tenant experience by tiers? How do you perform real-time performance tuning or centralized tenant policy management? How do you collect and aggregate tenant analytics? How do you implement scalable policy-driven configuration of tenant experience? These and many other challenging topics will be covered in this technical deep dive. Tod Golding, an AWS Solutions Architect specializing in helping AWS partners build SaaS systems, will explore a collection of strategies that can be leveraged to increase the performance, flexibility, and agility of SaaS environments. You will learn how to identify areas where services, tools, and design strategies can be combined to enrich the agility of your SaaS architecture.</td>
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<b>ARC409 - Deploying Your First 100K Windows Users</b>
</td>
<td align="right" width="90">
<a href="https://www.youtube.com/watch?v=-6654WJRCYE" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Deploy, scale, and manage the Microsoft servers on AWS supporting 100K users. This session covers the AWS and Microsoft architectures to stand up Exchange, SharePoint, Lync, SQL Server, and Active Directory for enterprises. We focus on the architecture, automation, and management of Windows resources on AWS, including cloud-first technologies like AWS CloudFormation, Amazon EC2 Simple Systems Manager, and Amazon CloudWatch Logs.</td>
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<b>BDA203 - Billions of Rows Transformed in Record Time Using Matillion ETL for Amazon Redshift</b>
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<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-billions-of-rows-transformed-in-record-time-using-matillion-etl-for-amazon-redshift-bda203" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=Hnq6hhj-RY8" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Billions of Rows Transformed in Record Time Using Matillion ETL for Amazon Redshift
GE Power Water develops advanced technologies to help solve some of the worlds most complex challenges related to water availability and quality. They had amassed billions of rows of data on on-premises databases, but decided to migrate some of their core big data projects to the AWS Cloud. When they decided to transform and store it all in Amazon Redshift, they knew they needed an ETL/ELT tool that could handle this enormous amount of data and safely deliver it to its destination. In this session, Ryan Oates, Enterprise Architect at GE Water, shares his use case, requirements, outcomes and lessons learned. He also shares the details of his solution stack, including Amazon Redshift and Matillion ETL for Amazon Redshift in AWS Marketplace. You learn best practices on Amazon Redshift ETL supporting enterprise analytics and big data requirements, simply and at scale. You learn how to simplify data loading, transformation and orchestration on to Amazon Redshift and how build out a real data pipeline. Get the insights to deliver your big data project in record time.</td>
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<b>BDA204 - Leverage the Power of the Crowd To Work with Amazon Mechanical Turk</b>
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<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-leverage-the-power-of-the-crowd-to-work-with-amazon-mechanical-turk-bda204" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=r7xR9kLHCHc" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">With Amazon Mechanical Turk (MTurk), you can leverage the power of the crowd for a host of tasks ranging from image moderation and video transcription to data collection and user testing. You simply build a process that submit tasks to the Mechanical Turk marketplace and get results quickly, accurately, and at scale. In this session, Russ, from Rainforest QA, shares best practices and lessons learned from his experience using MTurk. The session covers the key concepts of MTurk, getting started as a Requester, and using MTurk via the API. You learn how to set and manage Worker incentives, achieve great Worker quality, and how to integrate and scale your crowdsourced application. By the end of this session, you will have a comprehensive understanding of MTurk and know how to get started harnessing the power of the crowd.</td>
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<b>BDA205 - Delighting Customers Through Device Data with Salesforce IoT Cloud and AWS IoT</b>
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<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-delighting-customers-through-device-data-with-salesforce-iot-cloud-and-aws-iot-bda205" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=Uk-6hG-0yXI" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">The Internet of Things (IoT) produces vast quantities of data that promise a deep, always connected view into customer experiences through their devices. In this connected age, the question is no longer how do you gather customer data, but what do you do with all that data. How do you ingest at massive scale and develop meaningful experiences for your customers? In this session, you learn how Salesforce IoT Cloud works in concert with the AWS IoT engine to ingest and transform all of the data generated by every one of your customers, partners, devices, and sensors into meaningful action. You also see how customers are using Salesforce and AWS together to process massive quantities of data, build business rules with simple, intuitive tools, and engage proactively with customers in real time. Session sponsored by Salesforce.</td>
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<b>BDA206 - Building Big Data Applications with the AWS Big Data Platform</b>
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<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-building-big-data-applications-with-the-aws-big-data-platform-bda206" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=BCgQ0Ep0zSk" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Building big data applications often requires integrating a broad set of technologies to store, process, and analyze the increasing variety, velocity, and volume of data being collected by many organizations. In this session, we show how you can build entire big data applications using a core set of managed services including Amazon S3, Amazon Kinesis, Amazon EMR, Amazon Elasticsearch Service, Amazon Redshift, and Amazon QuickSight.
We walk you through the steps of building and securing a big data application using the AWS Big Data Platform. We also share best practices and common use cases for AWS big data services, including tips to help you choose the best services for your specific application.</td>
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<b>BDA207 - Fanatics: Deploying Scalable, Self-Service Business Intelligence on AWS</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-fanatics-deploying-scalable-selfservice-business-intelligence-on-aws-bda207" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=kfuI0orMq1w" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Data is growing at a quantum scale and one of challenges you face is to enable your users to analyze all this data, extract timely insights from it, and visualize it. In this session, you learn about business intelligence solutions available on AWS. We discuss best practices for deploying a scalable and self-serve BI platform capable of churning through large datasets. Fanatics, the nations largest online seller of licensed sports apparel, talks about their experience building a globally distributed BI platform on AWS, that delivers massive volumes of reports, dashboards, and charts on a daily basis to an ever growing user base. Fanatics shares the architecture of their data platform, built using Amazon Redshift, Amazon S3, and open source frameworks like Presto and Spark. They talk in detail about their BI platform including Tableau, Microstrategy, and other tools on AWS to make it easy for their analysts to perform ad-hoc analysis and get real-time updates, alerts, and visualizations. You also learn about the experimentation-based approach that Fanatics adopted to fully engage their business intelligence community and make optimal use of their BI platform resources on AWS.</td>
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<b>BDA209 - NEW LAUNCH! Introducing AWS Glue: A Fully Managed ETL Service</b>
</td>
<td align="right" width="90">
<a href="https://www.youtube.com/watch?v=4N_ktE4NFIk" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">AWS Glue is a fully managed ETL service that makes it easy to understand your data sources, prepare the data for analytics, and load it reliably to your data stores. In this session, we will introduce AWS Glue, provide an overview of its components, and discuss how you can use the service to simplify and automate your ETL process. We will also talk about when you can try out the service and how to sign up for a preview.</td>
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<b>BDA303 - NEW LAUNCH! Intro to Amazon Athena. Easily analyze data in S3, using SQL.</b>
</td>
<td align="right" width="90">
<a href="https://www.youtube.com/watch?v=DxAuj_Ky5aw" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Amazon Athena is a new interactive query service that makes it easy to analyze data in Amazon S3, using standard SQL. Athena is serverless, so there is no infrastructure to setup or manage, and you can start analyzing your data immediately. You dont even need to load your data into Athena, it works directly with data stored in S3.
In this session, we will show you how easy is to start querying your data stored in Amazon S3, with Amazon Athena. First we will use Athena to create the schema for data already in S3. Then, we will demonstrate how you can run interactive queries through the built-in query editor. We will provide best practices and use cases for Athena. Then, we will talk about supported queries, data formats, and strategies to save costs when querying data with Athena.</td>
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<b>BDA304 - What’s New with Amazon Redshift</b>
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<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-whats-new-with-amazon-redshift-bda304" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=OyHhYIUEPQ4" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">In this session, you learn about the latest and hottest features of Amazon Redshift. Join Vidhya Srinivasan, General Manager of Amazon Redshift, to take a deep dive into the architecture and inner workings of Amazon Redshift. You discover how the recent availability, performance, and manageability improvements weve made can significantly enhance your end user experience. You also get a glimpse of what we are working on and our plans for the future.</td>
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<b>BDM201 - Big Data Architectural Patterns and Best Practices on AWS</b>
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<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-big-data-architectural-patterns-and-best-practices-on-aws-bdm201" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=RNrsIlweCno" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">The world is producing an ever increasing volume, velocity, and variety of big data. Consumers and businesses are demanding up-to-the-second (or even millisecond) analytics on their fast-moving data, in addition to classic batch processing. AWS delivers many technologies for solving big data problems. But what services should you use, why, when, and how? In this session, we simplify big data processing as a data bus comprising various stages: ingest, store, process, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architecture, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.</td>
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<b>BDM202 - Workshop: Building Your First Big Data Application with AWS</b>
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<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-workshop-building-your-first-big-data-application-with-aws-bdm202" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Want to get ramped up on how to use Amazon's big data web services and launch your first big data application on AWS? Join us in this workshop as we build a big data application in real time using Amazon EMR, Amazon Redshift, Amazon Kinesis, Amazon DynamoDB, and Amazon S3. We review architecture design patterns for big data solutions on AWS, and give you access to a take-home lab so that you can rebuild and customize the application yourself.</td>
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<b>BDM203 - FINRA: Building a Secure Data Science Platform on AWS</b>
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<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-finra-building-a-secure-data-science-platform-on-aws-bdm203" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=Xrm3UemTSfQ" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Data science is a key discipline in a data-driven organization. Through analytics, data scientists can uncover previously unknown relationships in data to help an organization make better decisions.However, data science is often performed from local machines with limited resources and multiple datasets on a variety of databases. Moving to the cloud can help organizations provide scalable compute and storage resources to data scientists, while freeing them from the burden of setting up and managing infrastructure.
In this session, FINRA, the Financial Industry Regulatory Authority, shares best practices and lessons learned when building a self-service, curated data science platform on AWS. A project that allowed us to remove the technology middleman and empower users to choose the best compute environment for their workloads. Understand the architecture and underlying data infrastructure services to provide a secure, self-service portal to data scientists, learn how we built consensus for tooling from of our data science community, hear about the benefits of increased collaboration among the scientists due to the standardized tools, and learn how you can retain the freedom to experiment with the latest technologies while retaining information security boundaries within a virtual private cloud (VPC).</td>
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<b>BDM204 - Visualizing Big Data Insights with Amazon QuickSight</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-visualizing-big-data-insights-with-amazon-quicksight-bdm204" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=tGrQ8oi3xxM" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Amazon QuickSight is a fast BI service that makes it easy for you to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. QuickSight is built to harness the power and scalability of the cloud, so you can easily run analysis on large datasets, and support hundreds of thousands of users. In this session, well demonstrate how you can easily get started with Amazon QuickSight, uploading files, connecting to S3 and Redshift and creating analyses from visualizations that are optimized based on the underlying data. Once weve built our analysis and dashboard, well show you easy it is to share it with colleagues and stakeholders in just a few seconds. And with SPICE QuckSights in-memory calculation engine you can go from data to insights, faster than ever.</td>
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<b>BDM205 - Big Data Mini Con State of the Union</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-big-data-mini-con-state-of-the-union-bdm205" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=i0d6whrESZk" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Join us for this general session where AWS big data experts present an in-depth look at the current state of big data. Learn about the latest big data trends and industry use cases. Hear how other organizations are using the AWS big data platform to innovate and remain competitive. Take a look at some of the most recent AWS big data announcements, as we kick off the Big Data re:Source Mini Con.</td>
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<td>
<b>BDM206 - Understanding IoT Data: How to Leverage Amazon Kinesis in Building an IoT Analytics Platform on AWS</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-understanding-iot-data-how-to-leverage-amazon-kinesis-in-building-an-iot-analytics-platform-on-aws-bdm206" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=musnOve7kAQ" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">The growing popularity and breadth of use cases for IoT are challenging the traditional thinking of how data is acquired, processed, and analyzed to quickly gain insights and act promptly. Today, the potential of this data remains largely untapped. In this session, we explore architecture patterns for building comprehensive IoT analytics solutions using AWS big data services. We walk through two production-ready implementations. First, we present an end-to-end solution using AWS IoT, Amazon Kinesis, and AWS Lambda. Next, Hello discusses their consumer IoT solution built on top of Amazon Kinesis,Amazon DynamoDB, and Amazon Redshift.</td>
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<b>BDM301 - Best Practices for Apache Spark on Amazon EMR</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-best-practices-for-apache-spark-on-amazon-emr-bdm301" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=KfgCJufxI0M" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Organizations need to perform increasingly complex analysis on data streaming analytics, ad-hoc querying, and predictive analytics in order to get better customer insights and actionable business intelligence. Apache Spark has recently emerged as the framework of choice to address many of these challenges. In this session, we show you how to use Apache Spark on AWS to implement and scale common big data use cases such as real-time data processing, interactive data science, predictive analytics, and more. We talk about common architectures, best practices to quickly create Spark clusters using Amazon EMR, and ways to integrate Spark with other big data services in AWS. This session will feature DataXu, a provider of programmatic marketing and analytics software. DataXu will share how they architected their petabyte-scale ETL processing pipeline and data science workflows using Spark.</td>
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<b>BDM302 - Real-Time Data Exploration and Analytics with Amazon Elasticsearch Service and Kibana</b>
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<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-realtime-data-exploration-and-analytics-with-amazon-elasticsearch-service-and-kibana-bdm302" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=R40N9eZTaAA" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Elasticsearch is a fully featuredsearch engine used for real-time analytics, and Amazon Elasticsearch Service makes it easy to deploy Elasticsearch clusters on AWS. With Amazon ES, you can ingest and process billions of events per day, and explore the data using Kibana to discover patterns. In this session, we use Apache web logs as example and show you how to build an end-to-end analytics solution. First, we cover how to configure an Amazon ES cluster and ingest data into it using Amazon Kinesis Firehose. We look at best practices for choosing instance types, storage options, shard counts, and index rotations based on the throughput of incoming data. Then we demonstrate how to set up a Kibana dashboard and build custom dashboard widgets. Finally, we dive deep into the Elasticsearch query DSL and review approaches for generating custom, ad-hoc reports.</td>
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<b>BDM303 - JustGiving: Serverless Data Pipelines, Event-Driven ETL, and Stream Processing</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-justgiving-serverless-data-pipelines-eventdriven-etl-and-stream-processing-bdm303" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=YGNu6SLCk50" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Organizations need to gain insight and knowledge from a growing number of Internet of Things (IoT), application programming interfaces (API), clickstreams, unstructured and log data sources. However, organizations are also often limited by legacy data warehouses and ETL processes that were designed for transactional data. Building scalable big data pipelines with automated extract-transform-load (ETL) and machine learning processes can address these limitations. JustGiving is the worlds largest social platform for online giving. In this session, we describe how we created several scalable and loosely coupled event-driven ETL and ML pipelines as part of our in-house data science platform called RAVEN. You learn how to leverage AWS Lambda, Amazon S3, Amazon EMR, Amazon Kinesis, and other services to build serverless, event-driven, data and stream processing pipelines in your organization. We review common design patterns, lessons learned, and best practices, with a focus on serverless big data architectures with AWS Lambda.</td>
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<td>
<b>BDM304 - Analyzing Streaming Data in Real-time with Amazon Kinesis Analytics</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-analyzing-streaming-data-in-realtime-with-amazon-kinesis-analytics-bdm304" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=SmcgiweeviY" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">As more and more organizations strive to gain real-time insights into their business, streaming data has become ubiquitous. Typical streaming data analytics solutions require specific skills and complex infrastructure. However, with Amazon KinesisAnalytics, you can analyze streaming data in real-time with standard SQLthere is no need to learn new programming languages or processing frameworks.
In this session, we dive deep into the capabilities of Amazon Kinesis Analytics using real-world examples. Well present an end-to-end streaming data solution using Amazon KinesisStreams for data ingestion, Amazon KinesisAnalytics for real-time processing, and Amazon KinesisFirehose for persistence. We review in detail how to write SQL queries using streaming data and discuss best practices to optimize and monitor your Amazon KinesisAnalytics applications. Lastly, we discuss how to estimate the cost of the entire system.</td>
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<td>
<b>BDM306 - Netflix: Using Amazon S3 as the fabric of our big data ecosystem</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-netflix-using-amazon-s3-as-the-fabric-of-our-big-data-ecosystem-bdm306" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=o52vMQ4Ey9I" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Amazon S3 is the central data hub for Netflix's big data ecosystem. We currently have over 1.5 billion objects and 60+ PB of data stored in S3. As we ingest, transform, transport, and visualize data, we find this data naturally weaving in and out of S3. Amazon S3 provides us the flexibility to use an interoperable set of big data processing tools like Spark, Presto, Hive, and Pig. It serves as the hub for transporting data to additional data stores / engines like Teradata, Redshift, and Druid, as well as exporting data to reporting tools like Microstrategy and Tableau. Over time, we have built an ecosystem of services and tools to manage our data on S3. We have a federated metadata catalog service that keeps track of all our data. We have a set of data lifecycle management tools that expire data based on business rules and compliance. We also have a portal that allows users to see the cost and size of their data footprint. In this talk, well dive into these major uses of S3, as well as many smaller cases, where S3 smoothly addresses an important data infrastructure need. We will also provide solutions and methodologies on how you can build your own S3 big data hub.</td>
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<td>
<b>BDM401 - Deep Dive: Amazon EMR Best Practices Design Patterns</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-deep-dive-amazon-emr-best-practices-design-patterns-bdm401" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=5DGXPcVKXyw" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Amazon EMR is one of the largest Hadoop operators in the world. In this session, we introduce you to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of both long and short-lived clusters, and other Amazon EMR architectural best practices. We talk about how to scale your cluster up or down dynamically and introduce you to ways you can fine-tune your cluster. We also share best practices to keep your Amazon EMR cluster cost-efficient. Finally, we dive into some of our recent launches to keep you current on our latest features. This session will feature Asurion, a provider of device protection and support services for over 280 million smartphones and other consumer electronics devices.Asurion will share how they architected their petabyte-scale data platform using Apache Hive, Apache Spark, and Presto on Amazon EMR.</td>
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<td>
<b>BDM402 - Best Practices for Data Warehousing with Amazon Redshift</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-best-practices-for-data-warehousing-with-amazon-redshift-bdm402" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=n1puzWLWS38" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Analyzing big data quickly and efficiently requires a data warehouse optimized to handle and scale for large datasets. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it simple and cost-effective to analyze all of your data for a fraction of the cost of traditional data warehouses. In this session, we take an in-depth look at data warehousing with Amazon Redshift for big data analytics. We cover best practices totake advantage of Amazon Redshift's columnar technology and parallel processing capabilities to deliver high throughput and query performance. We also discuss how to design optimal schemas,loaddata efficiently, and usework load management.</td>
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<td>
<b>BDM403 - Beeswax: Building a Real-Time Streaming Data Platform on AWS</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-beeswax-building-a-realtime-streaming-data-platform-on-aws-bdm403" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=IhY_q_foSAY" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Amazon Kinesis is a platform of services for building real-time, streaming data applications in the cloud. Customers can use Amazon Kinesis to collect, stream, and process real-time data such as website clickstreams, financial transactions, social media feeds, application logs, location-tracking events, and more. In this session, we first cover best practices for building an end-to-end streaming data applications using Amazon Kinesis. Next, Beeswax, which provides real-time Bidder as a Service for programmatic digital advertising, will talk about how they built a feature-rich, real-time streaming data solution on AWS using Amazon Kinesis, Amazon Redshift, Amazon S3, Amazon EMR, and Apache Spark. Beeswax will discuss key components of their solution including scalable data capture, messaging hub for archival, data warehousing, near real-time analytics, and real-time alerting.</td>
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<td>
<b>BAP201 - Move your desktops to the cloud with Amazon WorkSpaces</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-move-your-desktops-to-the-cloud-with-amazon-workspaces-bap201" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=r2Bh1hc-fak" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Organizations today are striving to provide a more flexible environment for their end users, allowing them access to corporate resources from any device, anytime. At the same time, securing corporate information remains a top priority for CIOs. Traditional solutions such as Virtual Desktop Infrastructure (VDI) offer worker flexibility and security benefits, but they are expensive to purchase, complex to deploy, and they dont scale well. In this session, youll learn how Amazon WorkSpaces combines the benefits of VDI with the economics of the cloud to deliver better value for organizations. Well show you just how easy it is to get started, and talk through how customers are using Amazon WorkSpaces today.</td>
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<td>
<b>BAP202 - Extra, Extra! News UK Saves Money with Hourly Amazon WorkSpaces, Read All About It!</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-extra-extra-news-uk-saves-money-with-hourly-amazon-workspaces-read-all-about-it-bap202" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=OEUA3aSyEHs" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Amazon WorkSpaces is a desktop computing service that runs in the cloud, and now supports both monthly and hourly billing. In this session, we help you determine the right billing method for your use cases, show you how to provision Amazon WorkSpaces for monthly or hourly billing, and work through a real-world example. News UK, a media organization that owns a stable of news and media brands, describes how they use Amazon WorkSpaces to solve a unique business need.</td>
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<td>
<b>BAP203 - How Higher Ed Graduated from Traditional Desktops to DaaS Using Amazon WorkSpaces</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-how-higher-ed-graduated-from-traditional-desktops-to-daas-using-amazon-workspaces-bap203" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=8kmbVV7CF2o" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Join leaders in higher education in this panel discussion as they share how they use Amazon WorkSpaces to move to desktop-as-a-service (DaaS) to provide faculty, staff, and students, access to applications and information they need in classrooms, research labs, and across campus. Amazon WorkSpaces enables major educational institutions be more agile, improve their security posture, and offer end users a more flexible experience, while meeting stringent compliance requirements and remaining cost effective. Hear directly from the world of higher education about their projects to deliver the next generation of end-user computing in their organizations.</td>
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<td>
<b>BAP204 - Deliver Desktop Applications to Any Device, Anywhere with Amazon AppStream 2.0</b>
</td>
<td align="right" width="90">
<a href="https://www.youtube.com/watch?v=9YAxsI6UaX0" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Amazon AppStream 2.0 is an application streaming service that provides users instant access to their applications from anywhere, on any connected device. Enterprises can use Amazon AppStream 2.0 to securely deliver the latest versions of their desktop apps to their users. ISVs can reach more users across more devices, without rewriting applications, by streaming their desktop apps from the cloud to their users browsers. In this session, we show you how easy it is to upload your apps to Amazon AppStream and start delivering them to thousands of users. Well also learn from Siemens PLM how they are moving their desktop apps to the cloud with Amazon AppStream 2.0, and enabling their enterprise customers greater flexibility and productivity through streamed applications.</td>
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<td>
<b>BAP205 - Stop Managing Email Infrastructure: Move to Amazon WorkMail</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-stop-managing-email-infrastructure-move-to-amazon-workmail-bap205" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=ViGdElGV6nk" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Amazon WorkMail is a secure, managed business email and calendar service with support for existing desktop and mobile email clients. Amazon WorkMail enables users to access email, calendars, and contacts using the Amazon WorkMail web app, Microsoft Outlook, or native iOS or Android email applications. In this session, well show you how to quickly create an Amazon WorkMail organization, take a look at the encryption model employed by Amazon WorkMail for data at rest, set up interoperability between existing on-premises Microsoft Exchange servers and Amazon WorkMail and dive into a host of new features that are now available on Amazon WorkMail.</td>
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<td>
<b>BAP206 - Store and collaborate on content securely with Amazon WorkDocs and use the SDKs to integrate with your existing IT tools</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-store-and-collaborate-on-content-securely-with-amazon-workdocs-and-use-the-sdks-to-integrate-with-your-existing-it-tools-bap206" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=wmZ0cMZpehI" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">File sync and share applications have become a cornerstone of collaboration in modern organizations; securing and managing content is an ongoing challenge. Amazon WorKDocs is a fully managed, secure file storage and sharing service with strong administrative controls and feedback capabilities. In this session, well demonstrate how you can use Amazon WorkDocs to manage files and secure content, and show you how were shaping Amazon WorkDocs to be a full-fledged productivity tool for users. We'll also present a technical overview of the WorkDocs SDKs, and how they allow you to use existing IT tools for antivirus protection, data loss prevention, analystics, and more.</td>
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<td>
<b>BAP210 - Hardware-Accelerating Graphics Desktop Workloads with Amazon WorkSpaces</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-hardwareaccelerating-graphics-desktop-workloads-with-amazon-workspaces-bap210" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=cfJLHqle80Y" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
</td>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Amazon WorkSpaces is a desktop computing service that runs in the cloud, and now offers GPU configurations to support design and engineering applications and three-dimensional modeling. We show you how running these applications on Amazon WorkSpaces graphics bundles, in close proximity to data you already store on AWS, can help you process and visualize the results you need. We discuss the economics of running Amazon WorkSpaces graphics bundles, and demonstrate the experience of running a graphics-intensive application on a GPU-enabled Amazon WorkSpace. We also invite Autodesk (or TRC or ESRi) to discuss how they are using Amazon WorkSpaces graphics bundles in their business.</td>
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<td>
<b>BAP212 - Deliver Engaging Experiences with Custom Apps Built on Salesforce App Cloud and AWS</b>
</td>
<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-deliver-engaging-experiences-with-custom-apps-built-on-salesforce-app-cloud-and-aws-bap212" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=V9WiFZDQmbI" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Your developers are the most important part of transforming your customer interactions into engaging experiences. Salesforce App Cloud, which brings together Heroku, Force.com and Lightning, abstracts away infrastructure and devops complexity, so you can focus on what matters most: building differentiated experiences through apps. Reducing time to market and letting you iterate fast helps you rise above the competition and build lasting customer relationships. In this session, you hear from Zayo, aleading global communications infrastructure services provider, and how they are leveraging the power of integrating the Salesforce and AWS platforms to deliver highly engaging customer experiences, enhancing developer productivity and driving faster innovation cycles. We spotlight Heroku Connect, which makes it easy to extend and synchronize your customer data between Salesforce and AWS and enhance it in ways that empower your developers to do what they do best: innovate. Session sponsored by Salesforce.</td>
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<b>BAP305 - Zero to Google Chrome in 60 Minutes: Lightweight and Inexpensive Client Devices for Amazon WorkSpaces</b>
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<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-zero-to-google-chrome-in-60-minutes-lightweight-and-inexpensive-client-devices-for-amazon-workspaces-bap305" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=mfLc4U8pnPk" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Youve bet big with Amazon WorkSpaces to remove challenges managing your physical fleet of Macs and PCs. Now what? In this session, well demonstrate how you can deploy a rich cloud-based Windows experience on lightweight hardware to reign in management issues, improve TCO, and be at parity with your traditional environment. Well take you through the client device ecosystem from Zero to thin to Google Chrome and Chromium OS clients and strengthen your ability to determine the right client device strategy moving forward. Live product demonstrations will be provided as we journal how customers are moving to lightweight devices, and what best practices weve learned along the way.</td>
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<b>BAP402 - Best Practices from the Trenches: Deploy Amazon WorkSpaces Like a Pro</b>
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<td align="right" width="90">
<a href="https://www.youtube.com/watch?v=9Q-ahnw2Lsc" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Amazon WorkSpaces is an enterprise desktop computing service that runs in the cloud. In this deep-dive session, we discuss advanced topics and best practices for deploying Amazon WorkSpaces in your organization. We discuss Amazon VPC design and public endpoints, AWS Directory Service, integrating with your on-premises Microsoft Active Directory, using multi-factor authentication, and monitoring and logging with Amazon CloudWatch metrics. We walk through how to do all this using a combination of the AWS Command Line Interface, the AWS Management Console, and AWS CloudFormation templates.</td>
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<b>CMP201 - Auto Scaling – the Fleet Management Solution for Planet Earth</b>
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<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-auto-scaling-the-fleet-management-solution-for-planet-earth-cmp201" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=4trGuelatMI" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Scaling allows cloud resources to scale automatically in reaction to the dynamic needs of customers. This session will show how Auto Scaling offers an advantage to everyone whether its basic fleet management to keep instances healthy as an EC2 best practice, or dynamic scaling to manage extremes. Well share examples of how Auto Scaling is helping customers of all sizes and industries unlock use cases and value. Well also discuss how Auto Scaling is evolving to scaling different types of elastic AWS resources beyond EC2 instances. NASA Jet Propulsion Laboratory (JPL) / California Institute of Technology will share how Auto Scaling is used to scale science data processing of Interferometric Synthetic Aperture Radar (InSAR) data from earth-observing satellite missions, and reduce response times during hazard response events such as those from earthquakes, floods, and volcanoes. JPL will also discuss how they are integrating their science data systems with the AWS ecosystem to expand into NASAs next two large-scale missions with remote-sensing radar-based observations. Learn how Auto Scaling is being used at a global scale and beyond!</td>
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<b>CMP202 - Getting the most Bang for your buck with #EC2 #Winning</b>
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<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-getting-the-most-bang-for-your-buck-with-ec2-winning-cmp202" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=0EPnnKqs5TM" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Amazon EC2 provides you with the flexibility to cost optimize your computing portfolio through purchasing models that fit your business needs. With the flexibility of mix-and-match purchasing models, you can grow your compute capacity and throughput and enable new types of cloud computing applications with the lowest TCO.
In this session, we will explore combining pay-as-you-go (On-Demand), reserve ahead of time for discounts (Reserved), and high-discount spare capacity (Spot) purchasing models to optimize costs while maintaining high performance and availability for your applications. Common application examples will be used to demonstrate how to best combine EC2s purchasing models. You will leave the session with best practices you can immediately apply to your application portfolio.</td>
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<b>CMP203 - Amazon EC2 Foundations</b>
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<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-amazon-ec2-foundations-cmp203" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=bgoPfn-Ppd8" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Amazon EC2 changes the economics of computing and provides you with complete control of your computing resources. It is designed to make web-scale cloud computing easier for developers. In this session, we will take you on a journey, starting with the basics of key management and security groups and ending with an explanation of Auto Scaling and how you can use it to match capacity and costs to demand using dynamic policies. We will also discuss tools and best practices that will help you build failure resilient applications that take advantage of the scale and robustness of AWS regions</td>
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<b>CMP205 - Lessons Learned from a Year of Using Spot Fleet</b>
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<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-lessons-learned-from-a-year-of-using-spot-fleet-cmp205" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=9hVYUr1RmHU" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Over the last year, Yelp has transitioned its scalable and reliable parallel task execution system, Seagull, from On-Demand and Reserved Instances entirely to Spot Fleet. Seagull runs over 28 million tests per day, launches more than 2.5 million Docker containers per day, and uses over 10,000 vCPUs in Spot Fleet at peak capacity. To deal with rising infrastructure costs for Seagull, we have extended our in-house Auto Scaling Engine called FleetMiser to scale the Spot Fleet in response to demand. FleetMiser has reduced Seagulls cluster costs by 60% in the past year and saved Yelp thousands of dollars every month.
In this session, we describe how Yelp uses Spot Fleet for Seagull and lessons weve learned over the past year, along with our recommendations on how to use it reliably (pro tip: dont get outbid for your whole Spot Fleet). We conclude by looking at our future plans for extending Spot Fleet usage at Yelp.</td>
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<b>CMP206 - NEW LAUNCH! Introducing Amazon Lightsail: Jumpstart Your Cloud Project for a Low, Predictable Price</b>
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<td align="right" width="90">
<a href="https://www.youtube.com/watch?v=lpBRxoNrhhc" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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<td colspan=2 style="padding-left:20px; padding-bottom:10px; font-size:x-small;">Amazon Lightsail is the latest addition to the AWS family of compute services and the fastest way to get your next cloud server up and running. For a low price that starts at $5/month, Lightsail offers a bundle of resources and services that let you jumpstart your cloud project in a few clicks. The new, intuitive Lightsail console makes it simple to manage your virtual resources, letting you focus on code, not system administration. Come to this session and learn how Lightsail can get you started on AWS quickly and efficiently.</td>
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<b>CMP207 - High Performance Computing on AWS</b>
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<td align="right" width="90"> <a href="http://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-high-performance-computing-on-aws-cmp207" imageanchor="1"><img border="0" height="34" width="34" src="https://lh3.googleusercontent.com/-8tZrYHZEF1k/Up3UN24fSVI/AAAAAAAAVVQ/VGODHwz2yyg/s34-no/slideshare.png" /></a>
<a href="https://www.youtube.com/watch?v=g-tKEf5eXws" imageanchor="1"><img border="0" height="32" width="50" src="https://lh4.googleusercontent.com/-RqHI2jPZGAA/Up3UNzvSGcI/AAAAAAAAVVU/PXFZQL-Wo00/w50-h32-no/youtube.jpg" /></a>
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