AWS re:Invent 2017

Latest Episodes:

DAT328: Tinder and DynamoDB: It's a Match! Massive Data Migration, Zero Down Time Dec 01, 2017

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Are you considering a massive data migration? Do you worry about downtime during a migration? Dr. JunYoung Kwak, Tinder's Lead Engineering Manager, will share his insights on how Tinder successfully migrated critical user data to DynamoDB with zero downtime. Join us to learn how Tinder leverages DynamoDB performance and scalability to meet the needs of their growing global user base.

DAT330: Case Study: Sprinklr Uses Amazon EBS to Maximize Its NoSQL Deployment Dec 01, 2017

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Sprinklr delivers a complete social media management system for the enterprise. It also helps the world's largest brands do marketing, advertising, care, sales, research, and commerce on Facebook, Twitter, LinkedIn, and 21 other channels on a global level. This is all done on a single integrated platform. In this session, you learn about Sprinklr's journey to the cloud and discover how to optimize your NoSQL database on AWS for cost, efficiency, and scale. We also do dive deep into best practices and architectural considerations for designing and managing NoSQL databases, such as Apache Cassandra, MongoDB, Apache CouchDB, and Aerospike on Amazon EC2 and Amazon EBS. We share best practices for instance and volume selection, provide performance tuning hints, and describe cost optimization techniques throughout.

DAT331: Airbnb Runs on Amazon Aurora Dec 01, 2017

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Airbnb has served over 200,000,000 customers across 191 countries and is one of the largest database consumers on AWS. They have heavily adopted MySQL and have recently completed a migration to Amazon Aurora. In this session, Airbnb shares their story, including design considerations for operating at Airbnb scale, tips, tricks, and advice for others startups, and thoughts on why they decided to run on Aurora.

DAT332: How Verizon is Adopting the Amazon Aurora PostgreSQL-compatible Edition for their Enterprise Workloads Dec 01, 2017

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Learn how Verizon is adopting the Amazon Aurora PostgreSQL-compatible edition for their mission-critical applications. Verizon has a history of adopting best of breed database technologies as they continue to serve their 140M+ customers. As Verizon moves its enterprise applications to the cloud, database performance and reliability are the key considerations. With heavy dependence on commercial databases, learn how a large enterprise like Verizon evaluated performance, reliability and operational characteristics of Amazon Aurora, and was able to create internal momentum behind adoption of open source technologies by showcasing early wins. This session also highlights best practices for using Amazon Aurora and the newly-announced RDS Performance Insights.

DAT401: The Boss: A Petascale Database for Large-Scale Neuroscience, Powered by Serverless Advanced Analytics Dec 01, 2017

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The IARPA Machine Intelligence from Cortical Networks (MICrONS) program is a research endeavor created to improve neurally-plausible machine-learning algorithms by understanding data representations and learning rules used by the brain through structurally and functionally interrogating a cubic millimeter of mammalian neocortex. This effort requires efficiently storing, visualizing, and processing petabytes of neuroimaging data. The Johns Hopkins University Applied Physics Laboratory (APL) has developed an open-source, highly available service to manage these data, called the Boss. The Boss uses AWS to provide a cloud-native spatial database with an innovative storage hierarchy and auto-scaling capability to balance cost and performance. This system extensively uses serverless components to meet both scalability and cost requirements. In this session, we provide an overview of the Boss, and we focus on how the APL used Amazon DynamoDB, AWS Lambda, and AWS Step Functions for several high-throughput components of the system. We discuss both the challenges and successes with serverless technologies.

DAT402: Deep Dive on the Amazon Aurora PostgreSQL-compatible Edition Dec 01, 2017

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Amazon Aurora is a fully-managed relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. The initial launch of Amazon Aurora delivered these benefits for MySQL. We have now added PostgreSQL compatibility to Amazon Aurora. In this session, Amazon Aurora experts discuss best practices to maximize the benefits of the Amazon Aurora PostgreSQL-compatible edition in your environment.

DEV203: Launch Applications the Amazon Way Dec 01, 2017

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Today, small software teams have the ability to disrupt big markets as more and more businesses start to deliver their products as-a-service. The ability for teams to respond to customers and innovate quickly is their key differentiator. In this session, we will cover how you can begin your DevOps journey by sharing best practices used by the "two pizza" engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows using AWS Developer tools including AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline and AWS CodeDeploy. Finally, we will demonstrate how to build an end-to-end CICD pipeline with CodeStar in minutes.

DEV204: Monitoring Modern Applications: Introduction to AWS X-Ray Dec 01, 2017

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Analyzing and debugging production distributed applications built using a service oriented, microservices, or serverless architectures is a challenging task. In this session, we introduce AWS X-Ray, an AWS service that makes it easier to identify performance bottlenecks and errors, pinpoint issues to specific services in your application, identify the impact of issues on application users, and visualize the service call graph and the request timelines for your applications. We will also showcase a customer, Chick-fil-A and how they have adopted AWS X-Ray to play a role throughout the microservice lifecycle in order to ensure quality, transparency, and operational visibility for their services on AWS

DEV205: Developing Applications on AWS in the JVM Dec 01, 2017

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The AWS SDK for Java (Version 1.x) has been connecting JVM based applications to AWS services since 2010. However, the JVM eco-system has changed a lot in the last 7 years. Based on a lot of customer feedback, we recently launched a developer preview of Version 2.0 of the AWS SDK for Java, which has been completely re-written from the core HTTP layer to the service clients. In this session, we'll get under the covers of the code-base to see how we've been able to get over 100,000 TPS from a single client instance during initial testing. We'll also go over some of the many new features and highlight some of the major differences with 1.x including: pluggable HTTP, non-blocking I/O, enhanced pagination, immutability and more.

DEV206: Life of a Code Change to a Tier 1 Service Dec 01, 2017

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Come join us as we take a deeper look at Amazon's approach to releasing mission critical software. In this session, we will take a journey through the release process of an AWS Tier 1 service on its way to production. We'll follow a single code change throughout the entire process from idea to release, and focus on how Amazon updates critical software quickly and safely for its global customers. Throughout the talk we'll demonstrate how our internal software release processes map to AWS Developer tools, highlighting how you can leverage AWS's CI/CD services to create your own robust release process.

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