AWS re:Invent 2017

This is the general session for Amazon DynamoDB and will cover newly announced features, as well as provide an end to end view of recent innovations. We will also share some of our successful customer stories and use cases. Come to this session to learn all about what's new for DynamoDB!

In this session, we provide a peek behind the scenes to learn about Amazon ElastiCache's design and architecture. See common design patterns with our Redis and Memcached offerings and how customers have used them for in-memory operations to reduce latency and improve application throughput. During this session, we review ElastiCache best practices, design patterns, and anti-patterns.

We're still in the midst of a data explosion. With data, we want to do things smarter, quicker, and more accurately, and working with a company like Snowflake enables us to do so. In this session, Kelly Mungary, Lionsgate director of enterprise data and analytics, details how Lionsgate achieved the “Holy Grail” of data analytics – easily storing, blending, and analyzing structured and semi-structured data for agile reporting and data science. With modern data warehousing built for the cloud, Lionsgate achieves faster time to market and continues to migrate investment away from traditional, fading platforms. Lionsgate is a leading global entertainment company that generates vast stores of varied data types from sales, research, social media, exit polls, box office activity, and many other channels to better serve its business customers and its fans. Session sponsored by Snowflake

Netflix runs hundreds of multivariate A/B tests a year, many of which help personalize the experience in the UI. This causes an exponential growth in the number of user experiences served to members, with each unique experience resulting in a unique JS/CSS bundle. Pre-publishing millions of permutations to the CDN for each build of each UI simply does not work at Netflix scale. In this session, we discuss how we built, designed, and scaled a brand new Node.js service, Codex. Its sole responsibility is to build personalized JS/CSS bundles on the fly for members as they move through the Netflix user experience. We've learned a ton about building a horizontally scalable Node.js microservice using core AWS services. Codex depends on Amazon S3 and Amazon DynamoDB to meet the streaming needs of our 100 million customers.

You can significantly reduce database licensing and operational costs by migrating from commercial database engines to Amazon RDS. In addition, you can gain flexibility and operational efficiency by avoiding the frustrating usage constraints that accompany commercial database licenses. Amazon RDS is a fully managed database service, so you no longer need to worry about complex database management tasks. Launch a single database instance or thousands of them in just a few minutes, and pay only for what you use. Learn how AWS Database Migration Service and AWS Schema Conversion Tool help you migrate commercial databases like Oracle and Microsoft SQL Server to Amazon RDS and Aurora easily and securely with minimal downtime.

We have recently seen some convergence of different database technologies. Many customers are evaluating heterogeneous migrations as their database needs have evolved or changed. Evaluating the best database to use for a job isn't as clear as it was ten years ago. In this session, we discuss the ideal use cases for relational and nonrelational data services, including Amazon ElastiCache for Redis, Amazon DynamoDB, Amazon Aurora, and Amazon Redshift. This session digs into how to evaluate a new workload for the best managed database option.

In this talk, Anurag Gupta, VP for AWS Analytic and Transactional Database Services, will talk about some of the key trends we see in data processing and how they shape the services we offer at AWS. Specific trends will include the rise of machine generated logs as the dominant source of data, the move towards Serverless, api-centric computing, and the growing need for local access to data from users around the world.

Learn what it takes to migrate an on-premises database to Amazon Relational Database Service (Amazon RDS) for SQL Server, and how you can take advantage of the features and options available in the fully managed Amazon RDS platform. This session walks through best practices for system sizing and configuration, various database migration strategies, and how to leverage your existing authentication system using Amazon RDS.

Amazon Relational Database Service (Amazon RDS) simplifies setup, operation, and management of databases in the cloud. In this session, we will explore Amazon RDS features and best practices that offer graceful migration, high performance, elastic scaling, and high availability for Oracle databases. You will also learn from the Chief Architect for Intuit's Small Business Division how the QuickBooks Online team is using Amazon RDS for Oracle to scale the world's largest online accounting platform.

PostgreSQL is an open source database growing in popularity because of its rich features, vibrant community, and compatibility with commercial databases. Learn about ways to run PostgreSQL on AWS including self-managed, and the managed database services from AWS: Amazon Relational Database Service (Amazon RDS) and the Amazon Aurora PostgreSQL-compatible Edition. This talk covers key Amazon RDS for PostgreSQL functionality, availability, and management. We also review general guidelines for common user operations and activities such as migration, tuning, and monitoring for their RDS for PostgreSQL instances.