Grouping events in stream processors

The design of a stream processor must account for the volume of data it will receive. The data should be processed in real-time and the processor should not fall behind. The following recipe demonstrates how grouping related data in a stream can help ensure sufficient throughput.

How to do it...

1. Create the project from the following template:

$ sls create --template-url https://github.com/danteinc/js-cloud-native-cookbook/tree/master/ch9/frp-grouping --path cncb-frp-grouping

2. Navigate to the cncb-frp-grouping directory, cd cncb-frp-grouping.
3. Review the file named serverless.yml.

4. Review the file named handler.js with the following content:

module.exports.listener = (event, context,...