AWS re:Invent 2016

Latest Episodes:

ENT401: Unlocking the Four Seasons of Migrations and Operations: Enterprise Grade, Cloud Assured with Infosys and AWS Dec 25, 2016

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To keep pace with today’s hybrid IT landscape, enterprises have to innovate faster while ensuring compatibility with legacy IT systems. They also need to reduce costs and increase business value through responsive infrastructure backed by flexible, intelligent, and context-aware agile IT processes. To do this, they need service assurance in four distinct areas:

GAM301: How EA Leveraged Amazon Redshift and AWS Partner 47Lining to Gather Meaningful Player Insights Dec 25, 2016

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In November 2015, Capital Games launched a mobile game accompanying a major feature film release. The back end of the game is hosted in AWS and uses big data services like Amazon Kinesis, Amazon EC2, Amazon S3, Amazon Redshift, and AWS Data Pipeline. Capital Games will describe some of their challenges on their initial setup and usage of Amazon Redshift and Amazon EMR. They will then go over their engagement with AWS Partner 47lining and talk about specific best practices regarding solution architecture, data transformation pipelines, and system maintenance using AWS big data services. Attendees of this session should expect a candid view of the process to implementing a big data solution. From problem statement identification to visualizing data, with an in-depth look at the technical challenges and hurdles along the way.

GAM302: Sony PlayStation: Breaking the Bandwidth Barrier using Soft State and ELB Properties Dec 25, 2016

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As systems and user bases grow, a once abundant resource can become scarce. While scaling out PlayStation services to millions of users at over a 100,000 requests/second, network throughput became a precious resource to optimize for. Alex and Dustin talk about how the microservices that power Playstation achieved low latency interactions while conserving on precious network bandwidth. These services powered by Amazon Elastic Load Balancing and Amazon DynamoDB benefitted from soft-state optimizations, a pattern that is used in complex interactions such as searching through a user’s social graph in sub 100 ms, or a user’s game library in 7 ms. As a developer utilizing Amazon Web services, you will discover new patterns and implementations which will better utilize your network, instances, and load balancers in order to deliver personalized experiences to millions of users while saving costs.

GAM303: Develop Games Using Lumberyard and Leverage AWS with GameLift, Cloud Canvas, and Twitch Dec 25, 2016

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This session focuses on the cloud-connected features of Amazon Lumberyard. We introduce Amazon GameLift core concepts, complete a step-by-step walkthrough of deploying a multiplayer game to the cloud, and demonstrate how to rapidly scale a game based on player demand. We also cover Amazon Lumberyard’s Cloud Canvas, which empowers developers to leverage services such as databases, data storage, and methods to execute game logic within AWS without needing to configure or maintain servers. Finally we discuss integrating Twitch to your Lumberyard game with Twitch ChatPlay and JoinIn.

GAM401: Riot Games: Standardizing Application Deployments Using Amazon ECS and Terraform Dec 25, 2016

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This session covers how the data team at Riot Games utilizes ECS to consolidate and improve disparate deployment and hosting strategies across a wide range of applications deployed via Docker containers. The team will share how cluster management and container orchestration through ECS enables the team to quickly adopt and evolve shared service hosting solutions as Riot continues its journey towards becoming a multi-game studio.

HLC301: Data Science and Healthcare: Running Large Scale Analytics and Machine Learning on AWS Dec 25, 2016

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Working with Amazon Web Services “AWS” and 1Strat

HLC302: AWS Infrastructure for a Global Population Health Platform, Cerner’s HealtheIntent Dec 25, 2016

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This talk will feature Cerner’s

HLC304: Building IoT Applications with AWS and Amazon Alexa Dec 25, 2016

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Alexa, what is the Internet of Things? Now that technology is small enough to be embedded in everyday devices, Healthcare has an opportunity to exploit the extraordinary potential of connecting ordinary devices. In this presentation, we explain how to rapidly build an IoT system and how to drive the Cloud with your voice on an Amazon Echo. In addition to describing how to use Alexa, we explore using AWS IoT, Lambda, Amazon SNS, and DynamoDB.

IOT201: NEW LAUNCH! Introducing AWS Greengrass Dec 25, 2016

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AWS has launched AWS Greengrass, a platform that extends the AWS Cloud onto your devices so they can act locally on the data they generate, while still taking advantage of the cloud. In this session we will talk about how Greengrass works and what you can do with it. You will also hear from early customers who will discuss their use cases for Greengrass and how it fits into their overall IoT strategy.

IOT202: Internet of Things (IoT) Edge and Device Services Dec 25, 2016

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AWS IoT edge and device services make it easy to get started and scale quickly along with your business needs. Medical equipment, industrial machinery, building automation, and simple device to trigger services, are just a few physical-world use cases that are benefiting from elastic cloud computing while meeting the local execution requirements and real time responsiveness. This session covers the intersection between the device and cloud industries, and the way AWS and our customers will shape the future of those industries together. We will showcase how our customers are using AWS IoT Button, the IoT Device SDKs, and other AWS services to improve the existing business models, invent new way of working, and balance the benefits of the cloud services with the need for local execution.

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