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AWS re:Invent 2016: Amazon Aurora Best Practices: Getting the Best Out of Your Databases (DAT301)

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Published on Dec 1, 2016

Amazon Aurora is a fully managed relational database engine that provides higher performance, availability and durability than previously possible using conventional monolithic database architectures. After launching a year ago, we continued adding many new features and capabilities to Aurora. In this session AWS Aurora experts will discuss the best practices that will help you put these capabilities to the best use. You will also hear from Amazon Aurora customer Intercom on the best practices they adopted for moving live databases with over two billion rows to a new datastore in Amazon Aurora with almost no downtime or lost records.

Intercom was founded to provide a fundamentally new way for Internet businesses to communicate with customers at scale. For growing startups like Intercom, it’s natural for the load on datastores to grow on a weekly basis. The usual solution to this problem is to get a bigger box from AWS. But very soon you reach a point where bigger boat is not an option anymore. You will learn about the benefits of moving to such a datastore, the problems it introduced, and all about the new ability for scaling that was not there before.

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