AWS re:Invent 2017: Building High-Throughput Serverless Data Processing Pipelines (SRV304)

Опубликовано 29 ноября 2017, 16:11

Have a lot of real-time data piling up? Need to analyze it, transform it, and store it somewhere else real quick? What if there were an easier way to perform streaming data processing, with less setup, instant scaling, and no servers to provision and manage? With serverless computing, you can build applications to meet your real-time needs for everything from IoT data to operational logs without needing to spin up servers or install software. Come learn how to leverage AWS Lambda with Amazon Kinesis, Kinesis Firehose, and Kinesis Analytics to architect highly scalable, high throughput pipelines that can cover all your real-time processing needs. We will cover different example architectures that handle use cases like in-line process or data manipulation, as well as discuss the advantages of using an AWS managed stream.