This is an event-driven microservices app with Python, Kafka, Flask and Redis. The app has a store service where users land and an analyzer service that can see data on the users that visited. These two services communicate via a Kafka topic. After a user visits the store, a Kafka producer sends their browser information to a topic log. The analyzer service has a Kafka consumer which reads from the topic log and stores the counts of different browsers seen in a Redis database. The analyzer service also has an API enpoint that will display a count of all the browers seen by reading from the database.
Docker Engine and Docker Compose are needed to run this app. The install docs can be found here https://docs.docker.com/engine/install/ and here https://docs.docker.com/compose/install/ .
To start the app, run docker-compose up from the root directory of the app.
user@hostname:~/UserStats$ docker-compose upThe services will start up after a short amount of time. Some services depend on others being in a healthy state which adds to start up time.
Once everything is up and running, visit the store service at http://localhost:5000/ from various
browsers to accumulate user data. For example, FireFox and Chrome can be used.
Also a curl command can be used to make an HTTP request.
user@hostname:~$ curl localhost:5000
<p>Welcome to the Store</p>Visit the analyzer service at http://localhost:5001/ to see the counts of browsers
that have visited the store endpoint. This can be accessed via a browser where JSON
would be displayed or one can use a curl command.
user@hostname:~$ curl localhost:5001
{"Firefox/123.0":4,"Safari/537.36":3,"curl/7.81.0":2}To stop the app, press CTRL+C in the termnial where docker-compose was run, and
then run docker-compose down.
user@hostname:~/UserStats$ docker-compose down