AWS re:Invent 2017

Latest Episodes:

DAT308: A story of Netflix and AB Testing in the User Interface using DynamoDB Dec 01, 2017

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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.

DAT309: Best Practices for Migrating from Oracle and SQL Server to Amazon RDS Dec 01, 2017

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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.

DAT310: Which Database to Use When? Dec 01, 2017

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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.

DAT311: Technology Trends in Data Processing Dec 01, 2017

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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.

DAT312: Migrating Your SQL Server Databases to Amazon RDS Dec 01, 2017

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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.

DAT313: Running Oracle Databases on Amazon RDS Dec 01, 2017

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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.

DAT314: Best Practices for Running PostgreSQL on AWS Dec 01, 2017

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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.

DAT315: A Practitioner's Guide on Migrating to, and Running on Amazon Aurora. Dec 01, 2017

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Aurora is a cloud-optimized relational database that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. In this session, we will discuss various options for migrating to Aurora with MySQL compatibility, pro and cons of each, and which method is preferred when. Migrating to Aurora is just the first step. We'll share common use cases and how you can run optimally on Aurora.

DAT316: Report from the Field on the PostgreSQL-compatible Edition of Amazon Aurora Dec 01, 2017

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Tatsuo Ishii from SRA OSS has done extensive testing to compare the Aurora PostgreSQL-compatible Edition with standard PostgreSQL. In this session, he will present his performance testing results, and his work on Pgpool-II with Aurora; Pgpool-II is an open source tool which provides load balancing, connection pooling, and connection management for PostgreSQL.

DAT317: Migrating Databases and Data Warehouses to the Cloud: Getting Started with AWS DMS and AWS SCT Dec 01, 2017

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In this introductory session, we look at how to convert and migrate your commercial databases and data warehouses to the cloud and gain your database freedom. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) have been used to migrate tens of thousands of databases. These include Oracle and SQL Server to Amazon Aurora, Teradata and Netezza to Amazon Redshift, MongoDB to Amazon DynamoDB, and many other data source and target combinations. Learn how to easily and securely migrate your data and procedural code, enjoy flexibility and cost savings, and gain new opportunities.

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