AWS re:Invent 2016

Latest Episodes:

CTD204: Offload Security Heavy-lifting to the AWS Edge Dec 25, 2016

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Whether you are building a secure ecommerce application or developing games, security is a key consideration when architecting your application. In this session, you will learn about edge termination of your end user requests and will dive deep into advanced protocols and ciphers, enforcing end-to-end HTTPS connections with AWS Certificate Manager, access control with AWS WAF.

CTD205: Introduction to Amazon CloudFront Dec 25, 2016

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End users expect to be able to view static, dynamic, and streaming content anytime, anywhere, and on any device. Amazon CloudFront is a web service that accelerates delivery of your websites, APIs, video content, or other web assets to end users around the globe with low latency, high data transfer speeds, and no commitments. In this session, learn what a content delivery network (CDN) such as Amazon CloudFront is and how it works, the benefits it provides, common challenges and needs, performance, recently released features like HTTP/2 and IPV6 support, pricing, and examples of how customers are using CloudFront.

CTD206: NEW LAUNCH! Bringing AWS Lambda to the Edge Dec 25, 2016

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This session introduces Lambda@Edge, a new AWS Lambda feature that allows developers to perform simple computations at AWS edge locations in response to CloudFront events. This will be of interest to developers who want to build low-latency, customized web experiences. We cover product functionality and details of the programming model, and we walk through potential use cases.

CTD301: Amazon CloudFront Flash Talks: Best Practices on Configuring, Securing and Monitoring your Distribution Dec 25, 2016

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In this series of 15-minute technical flash talks you will learn directly from Amazon CloudFront engineers and their best practices on debugging caching issues, measuring performance using Real User Monitoring (RUM), and stopping malicious viewers using CloudFront and AWS WAF.

CTD302: Taking DevOps to the AWS Edge Dec 25, 2016

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In this session, we dive deep into how you can integrate Amazon CloudFront and related services into your application, be agile in developing and adapting the application, and follow best practices when configuring the services to improve security and performance, all while reducing costs. Attend this session and learn how to avoid needless forwarding of headers and cookies, test your application when making changes to the origin, version your configuration changes, monitor usage and automate security, create templates for new distributions, configure SSL/TLS certificates, and more.

CTD303: Design Patterns for High Availability: Lessons from Amazon CloudFront that You Can Replicate on AWS Dec 25, 2016

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At AWS, the availability of our services is non-negotiable. While building our own services, such as Amazon CloudFront, we learn from and develop our own design patterns for high availability. In this session, we review several of these design patterns, and we show how you can implement the patterns in your own services or applications built on top of AWS using services such as Amazon Kinesis, AWS Elastic Beanstalk, or AWS Lambda.

CTD304: How Mapbox Uses the AWS Edge to Deliver Fast Maps for Mobile, Cars, and Web Users Worldwide Dec 25, 2016

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Ian Ward, Platform and Security Engineer from Mapbox, discusses how the AWS global edge network helps improve the availability and performance of delivering hundreds of billions of map tiles to hundreds of millions of end users across the globe on mobile devices, in cars, and over the web. In this session, Ian shares insights on how Mapbox manages day-to-day edge operations using Amazon CloudFront logs, dashboards, and ad hoc queries, and how Mapbox has configured CloudFront with dozens of behaviors and origins to customize their content delivery. Mapbox has grown from using a single AWS region to using several regions, so Ian also explains how his team uses Amazon Route 53 and open source tools to simplify complexity around regional failover, and how Mapbox leverages AWS WAF to deter attacks and abuse.

CTD305: Media Delivery from the Cloud: Integrated AWS Solutions for Premium Over the Top (OTT) Content Dec 25, 2016

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Learn from AWS and Sony DADC how the transformation in content aggregation, management, and delivery are optimized with Sony Ven.ue; a Media as a Service (MaaS) offering. In this session, you learn about the Ven.ue architecture, which uses end-to-end AWS services for content preparation, protection, management, and global content delivery. We dive deep on the integrations with AWS that make Amazon CloudFront a core component of the Ven.ue service. You also hear from a customer of Sony Ven.ue, Funimation, on how they benefit from this platform.

DAT201: Cross-Region Replication with Amazon DynamoDB Streams Dec 25, 2016

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Under Armour implemented cross-region replication with Amazon DynamoDB Streams. Come listen as they share the keys to success.

WWPS401: Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Datasets Dec 25, 2016

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In this session, learn how Data Polygamy, a scalable topology-based framework, can enable users to query for statistically significant relationships between spatio-temporal datasets. With the increasing ability to collect data from urban environments and a push toward openness by governments, we can analyze numerous spatio-temporal datasets covering diverse aspects of a city. Urban data captures the behavior of the city’s citizens, existing infrastructure (physical and policies), and environment over space and time. Discovering relationships between these datasets can produce new insights by enabling domain experts to not only test but also generate hypotheses. However, discovery is difficult. A relationship between two datasets can occur only at locations or time periods that behave differently compared to the regions’ neighborhood. The size and number of datasets and diverse spatial and temporal scales at which the data is available presents computational challenges. Finally, of several thousand possible relationships, only a small fraction is actually informative. We have implemented the framework on Amazon EMR and show through an experimental evaluation using over 300 spatial-temporal urban datasets how our approach is scalable and effective at identifying significant relationships. Find details about the work at

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