AWS re:Invent 2018

As Oath, a Verizon company, prepared for GDPR compliance during integration of AOL and Yahoo! Internet properties, a global user consent and terms of service application was developed and deployed. The cloud-native service was deployed across multiple AWS Regions globally and leveraged Amazon DynamoDB global tables to enable data synchronization. The service was launched in April 2018, scaling to meet the needs of hundreds of millions of Oath users. Come to this session to learn more about how Oath was able to accomplish all of this. Complete Title: AWS re:Invent 2018: How Oath (a Verizon Company) Built a Multi-Region GDPR Application with Amazon DynamoDB (DAT325)

GE Aviation sells $1.7B annually in parts and services through a customer portal called myGEAviation. To enhance its customers' experience, the portal enables users to input specific variables and build custom reports for later viewing. These applications, plotting, and data-query were experiencing issues with cost, scalability, and performance. In this session, GE discusses how it rearchitected plotting and data-query to resolve those issues by using Amazon DynamoDB.

Amazon Aurora Serverless is an on-demand, autoscaling configuration for Aurora (MySQL-compatible edition) where the database automatically starts up, shuts down, and scales up or down capacity based on your application's needs. It enables you to run your database in the cloud without managing any database instances. Aurora Serverless is a simple, cost-effective option for infrequent, intermittent, or unpredictable workloads. In this session, we explore these use cases, take a look under the hood, and delve into the future of serverless databases. We also hear a case study from a customer building new functionality on top of Aurora Serverless.

Do you need a ledger database? Let's talk about the kinds of problems that Amazon Quantum can solve, and answer your questions about when and why you would use a ledger database. We'll showcase a presentation with benefits and use cases for Amazon Quantum.

DynamoDB transactions enables developers to maintain correctness of their data at scale by adding atomicity and isolation guarantees for multi-item conditional updates. With transactions, you can perform a batch of conditional operations including, PutItem, UpdateItem, and DeleteItem with guarantees. Come to this session to learn about how DynamoDB transactions works, the primary use cases in enables, and how to build modern applications that require transactions.

This session is for those who already have some familiarity with DynamoDB. The patterns and data models discussed in this session summarize a collection of implementations and best practices leveraged by Amazon.com to deliver highly scalable solutions for a wide variety of business problems. The session also covers strategies for global secondary index sharding and index overloading, scalable graph processing with materialized queries, relational modeling with composite keys, and executing transactional workflows on DynamoDB.

Despite the importance of cloud databases as a core foundation for applications, many businesses face challenges in identifying database performance issues. Visibility into database performance is difficult due to a wide range of incomplete tools that can be difficult to install, configure, and maintain. While these tools may provide a wide range of statistics, they lack a standard methodology for analyzing the statistics to identify performance problems. In this session, learn how Amazon Relational Database Service (Amazon RDS) changes this by providing database performance monitoring that is automatically configured, easy to use, and based on a clear actionable methodology.

What can you do with Apache TinkerPop and Gremlin or RDF and SPARQL? How does Neptune provide multi-Availability Zone high availability? Learn about the features and details of Amazon's fully managed graph database service.

While stateless services are suitable for many architectures, stateful services are also useful and sometimes overlooked. In this session, we hear from Netflix about the unique challenges of upgrading stateful services in the cloud, architectural advice to make iterating on stateful services easy, and concrete tools and infrastructure you can use on AWS to make upgrading easy.

Join this demo-driven session to learn about a simple way to move data rapidly into Amazon S3. Then, see how to access it on-premises with AWS Storage Gateway for local applications. You'll leave understanding how to improve data transfer performance without the manual labor of extensive scripting or the cost of third-party licensed software.