AWS re:Invent 2016

Latest Episodes:

ARC201: Scaling Up to Your First 10 Million Users Dec 25, 2016

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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.

ARC208: Hybrid Architectures: Bridging the Gap to the Cloud Dec 25, 2016

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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.

ARC209: Attitude of Iteration Dec 25, 2016

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In today’s 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 What was new this morning is outdated at lunch.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 you’re an architect, engineer, developer, or AWS newbie, prepare to laugh, cry, and commiserate as we talk about overcoming these challenges.

ARC211: Solve common problems with ready to use solutions in 5 minutes or less Dec 25, 2016

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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.

ARC212: Salesforce: Helping Developers Deliver Innovations Faster Dec 25, 2016

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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.

BAP201: Move your desktops to the cloud with Amazon WorkSpaces Dec 25, 2016

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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 don’t scale well. In this session, you’ll learn how Amazon WorkSpaces combines the benefits of VDI with the economics of the cloud to deliver better value for organizations. We’ll show you just how easy it is to get started, and talk through how customers are using Amazon WorkSpaces today.

BAP203: How Higher Ed Graduated from Traditional Desktops to DaaS Using Amazon WorkSpaces Dec 25, 2016

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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.

BDM306: Netflix: Using Amazon S3 as the fabric of our big data ecosystem Dec 25, 2016

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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, we’ll 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.

BDM401: Deep Dive: Amazon EMR Best Practices & Design Patterns Dec 25, 2016

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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.

CMP313: Revolutionizing Car Buying with 3D Rendering on Amazon EC2 Dec 25, 2016

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AWS GPU computing capabilities have allowed hot start-ups like Zerolight to revolutionize the car buying experience for clients like Audi, by providing advanced 3D car rendering simulations for their customers interested in personalizing cars in real-time at dealer showrooms and online. Zerolight chose to build their company from the ground up on AWS because of GPU-compute capabilities, scale, elasticity, and reliability, allowing customers to perform complex renderings quickly and in real-time. In this session, learn how Zerolight has implemented a scalable, cost-effective, highly responsive 3D rendering platform using Amazon EC2 G2 instances.

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