AWS re:Invent 2016

Latest Episodes:

BAP202: Extra, Extra! News UK Saves Money with Hourly Amazon WorkSpaces, Read All About It! Dec 25, 2016

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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.

BAP204: Deliver Desktop Applications to Any Device, Anywhere with Amazon AppStream 2.0 Dec 25, 2016

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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. We’ll 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.

BAP205: Stop Managing Email Infrastructure: Move to Amazon WorkMail Dec 25, 2016

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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, we’ll 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.

BAP206: Store and collaborate on content securely with Amazon WorkDocs and use the SDKs to integrate with your existing IT tools Dec 25, 2016

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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, we’ll demonstrate how you can use Amazon WorkDocs to manage files and secure content, and show you how we’re 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.

BAP210: Hardware-Accelerating Graphics Desktop Workloads with Amazon WorkSpaces Dec 25, 2016

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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.

BAP212: Deliver Engaging Experiences with Custom Apps Built on Salesforce App Cloud and AWS Dec 25, 2016

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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, a leading 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.

BAP305: Zero to Google Chrome in 60 Minutes: Lightweight and Inexpensive Client Devices for Amazon WorkSpaces Dec 25, 2016

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You’ve bet big with Amazon WorkSpaces to remove challenges managing your physical fleet of Macs and PCs. Now what? In this session, we’ll 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. We’ll 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 we’ve learned along the way.

BAP402: Best Practices from the Trenches: Deploy Amazon WorkSpaces Like a Pro Dec 25, 2016

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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.

BDM301: Best Practices for Apache Spark on Amazon EMR Dec 25, 2016

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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.

BDM303: JustGiving: Serverless Data Pipelines, Event-Driven ETL, and Stream Processing Dec 25, 2016

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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 world’s 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.

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