Amazon DynamoDB June 2016 Day at the SF Loft - From SQL to DynamoDB
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Amazon Web Services783 тыс
Следующее
06.07.16 – 2 38847:15Популярные
21 день – 3392:03Опубликовано 5 июля 2016, 16:21
Learn more at: amzn.to/29q38Qa
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SQL databases are familiar and provide strong consistency guarantees that make life easy for developers. Things change once you start getting beyond the capacity of a single machine, however, as you are then often forced to manually handle sharding of the data. By migrating several of our large relational tables to DynamoDB, we at Amplitude were able to scale considerably beyond the capacity of a single machine while keeping application code simple. We leverage DynamoDB’s scalability, strong consistency, and low latency to build a real-time ingestion pipeline that handles over 30,000 events per second. We’ll be talking about the migration process as well as some best practices for working with DynamoDB.
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SQL databases are familiar and provide strong consistency guarantees that make life easy for developers. Things change once you start getting beyond the capacity of a single machine, however, as you are then often forced to manually handle sharding of the data. By migrating several of our large relational tables to DynamoDB, we at Amplitude were able to scale considerably beyond the capacity of a single machine while keeping application code simple. We leverage DynamoDB’s scalability, strong consistency, and low latency to build a real-time ingestion pipeline that handles over 30,000 events per second. We’ll be talking about the migration process as well as some best practices for working with DynamoDB.
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