In this module, you’ll create an Amazon Kinesis stream to collect and store sensor data from our unicorn fleet. Using the provided command-line clients, you’ll produce sensor data from a unicorn on a Wild Ryde and read from the stream. Lastly, you’ll use the unicorn dashboard to plot our unicorns on a map and watch their status in real-time. In subsequent
The architecture for this module involves an Amazon Kinesis stream, a producer, and a consumer.
Our producer is a sensor attached to a unicorn currently taking a passenger on a ride. This sensor emits data every second including the unicorn’s current location, distance traveled in the previous second, and magic points and hit points so that our operations team can monitor the health of the unicorn fleet from Wild
The Amazon Kinesis stream stores data sent by the producer and provides an interface to allow consumers to process and analyze those data. Our consumer is a simple command-line utility that tails the stream and outputs the data points from the stream in effectively real-time so we can see what data is being stored in the stream. Once we send and receive data from the stream, we can use the unicorn dashboard to view the current position and vitals of our unicorn fleet in real-time.
Time to complete module: 25 Minutes
Services used:
• Amazon Kinesis Data Streams
• Amazon Cognito
• AWS IAM

In the next module, you’ll create an Amazon Kinesis Data Analytics application to aggregate sensor data from the unicorn fleet in real-time.