AWS re:Invent 2014

In this session, hear directly from HTC and EasyTaxi, who share their architecture stories of how they built powerful mobile backend services on AWS. Learn how HTC built a news aggregation service (BlinkFeed), a photo-sharing service (HTC Share), and a phone backup service (HTC Backup) on AWS. Also learn how they used AWS for deploying server code, provisioning handsets, and business intelligence, and how they launched these services worldwide, with high availability and low latency in just 6 months.

EasyTaxi is building the world's largest taxi mobile app. EasyTaxi shares their experience building an app as they scaled to 35+ countries and thousands of transactions per second. They discuss how they had to reinvent their architecture and infrastructure to meet several cultural as well technical challenges such as adapting to different kinds of access, mobile networks, and working with different charsets to change server locations. They share best practices on how they met the demanding traffic and transactional workloads by building on AWS and leveraging help from Amazon Enterprise Support.

How can you combine the power of the cloud to provide an immersive real-time experience for your mobile and television viewers? andquot;Second Screen Experienceandquot; provides an enhanced viewing experience for your users. We present best practices for implementing these experiences irrespective of your users' platform. Magazine Luiza is one of the largest retail chains in Brazil and was a sponsor of the Top TV station in the country during the FIFA World Cup. They ran ads on game intervals and reached spikes of four times more traffic by mobile users. Come see how they built the second screen experience and the architecture to manage the Magazine Luiza mobile strategy on top of AWS.

Learn how to build a powerful iOS app that leverages a variety of AWS services. In this three-hour, demo-heavy workshop, we show how you can build a modern native client app using Apple Swift and the AWS Mobile SDK that uses a number of cross-platform mobile cloud services directly with minimal code on the client. We share best practices for building a highly scalable backend so you can add your own functionality. This is a step-by-step journey where you configure and add components to your architecture, then modify and test your components inside a mobile location-based messaging app. In the end, you will have a mobile app with your own backend consisting of different AWS services including: Amazon Cognito, Amazon Mobile Analytics, Amazon SNS Push Notification, Amazon S3, Amazon CloudFront, Amazon CloudSearch, Amazon DynamoDB, Amazon SQS, and AWS Elastic Beanstalk.

Learn how to build a powerful Android app that leverages a variety of AWS services. In this three-hour, demo-heavy workshop, we show how you can build a modern native client app using the AWS Mobile SDK that uses a number of cross-platform mobile cloud services directly with minimal code on the client. We share best practices for building a highly scalable backend so you can add your own functionality. This is a step-by-step journey where you configure and add components to your architecture, then modify and test your components inside a mobile location-based messaging application. In the end, you will have a mobile application with your own backend consisting of different AWS services including: Amazon Cognito, Amazon Mobile Analytics, Amazon SNS Push Notification, Amazon S3, Amazon CloudFront, Amazon CloudSearch, Amazon DynamoDB, Amazon SQS, and AWS Elastic Beanstalk.

Streamline your mobile app sign-up experience with Amazon Cognito. In this session, we demonstrate how to use Cognito to build secure mobile apps without storing keys in them. Learn how to apply policies to existing Facebook, Google, or Amazon identities to secure access to AWS resources, such as personnel files stored in Amazon S3. Finally, we show how to handle anonymous access to AWS from mobile apps when there is no user logged in.

For the World Cup hosted by Brazil, TV Globo created a live interactive experience with the viewer, providing live analysis and statistics about the match and the ability to interact with the TV anchor. The challenge was to do near real-time interaction with the viewer that was synchronized with the plays of the soccer match on the screen. This session explores how AWS and TV Globo combined Amazon EC2, Amazon EMR, ElastiCache, Auto Scaling, Amazon SQS, DynamoDB, Amazon RDS, CloudFront and more than 500 instances to make the experience possible.

In order to improve audience engagement., media companies must deal with vast amounts of raw data from web, social media, devices, catalogs, and back-channel sources. This session dives into predictive analytic solutions on AWS: We present architecture patterns for optimizing media delivery and tuning overall user experience based on representative data sources (video player clickstream, web logs, CDN, user profiles, social media sentiment, etc.). We dive into concrete implementations of cloud-based machine learning services and show how they can be leveraged for profiling audience demand, cueing content recommendations and prioritizing delivery of related media. Services covered include Amazon EC2, Amazon S3, Amazon CloudFront, and Amazon EMR.

Media content, whether it be the latest blockbuster movie or a company's confidential webcasts, can be some of the most important assets for a media business. Storing, preparing, and delivering this content securely involves leveraging systems that can scale and ensure top-of-the-line security. Come find out how AWS can help you implement these workflows in the cloud using highly available, scalable, and secure cloud services such as Amazon S3 (storage), Amazon Elastic Transcoder (transcoding) and Amazon CloudFront (delivery).

We also discuss the underlying concepts of secure media delivery (e.g., policy-based DRM and signed URLs), the challenges faced by customers who need to design and implement these critical modules, and how to leverage the power of AWS to accomplish those while saving on costs. In addition, we take a deep dive into a media processing stack implemented on AWS using open source components to deliver encrypted HTTP Live Streams (HLS) to various devices.

Today's studios and visual effects companies require massive computing power and large amounts of storage to produce high-end digital scenes and videos. Maintaining the infrastructure required for these jobs is expensive and operationally difficult, plus demand fluctuates day to day. Geographically diverse workforces adds additional complexity to data and content transfer. The low-cost, utility computing model as well as unique virtualization capabilities offered by AWS are well-suited to addressing these challenges. In this session you will learn how to build and deploy a studio-quality, scalable Arnold render farm on AWS with reusable templates. We'll also demonstrate how to run Maya and Deadline remotely with AWS AppStream, and use them to edit scenes and coordinate render jobs entirely in the cloud.

In this session, we explain how to measure the key performance-impacting metrics in a cloud-based application and best practices for a reliable benchmarking process. Measuring the performance of applications correctly can be challenging and there are many tools available to measure and track performance. This session will provide you with specific examples of good and bad tests. We make it clear how to get reliable measurements of and how to map benchmark results to your application. We also cover the importance of selecting tests wisely, repeating tests, and measuring variability. In addition a customer will provide real-life examples of how they developed their application testing stack, utilize it for repeatable testing and identify bottlenecks.