In this chapter, we discussed the Lambda pattern at a conceptual level as well as in detail. I walked through an example implementation with serverless technologies to calculate average cryptocurrency prices for different time slices. Our example application was fed by a simple script that receives data from the GDAX WebSocket API. This data producer script published data to a single AWS Kinesis stream, which, in turn, triggered a series of events, ultimately resulting in real-time updates to DynamoDB and triggering batch jobs to calculate historical views of the minute, hourly, and daily average prices for multiple cryptocurrencies.
I discussed when the Lambda pattern may be appropriate and the types of data for which it's well suited. ...
