Video recording of the presentation: http://bit.ly/1Lc2i6h This talk will discuss how your programming language’s ability to provide easy concurrency can have an impact on not just performance, but also your AWS bill. As a case study we will present an event-processing service we recently moved to Go from Python, which requires long-term storage for ~1K/sec data blobs, each on average ~70KB — and walk through a few approaches to meeting this demand cost-effectively using Amazon S3, SQS, Kinesis, and DynamoDB. After a very brief introduction to Go we will show how its concurrency features make it easier to achieve a lower-cost implementation than would be possible with Python, Ruby, or Node.js.