This directory has a bunch of code examples showing how you can connect to the alert stream's integration endpoint. There are a lot of ways to connect to Kafka, both in Python and more generally. There are examples in here that show how to connect using several of those methods.
The confluent_kafka_consumer example shows how to connect using the confluent_kafka_python library.
This library has significant long-term support from Confluent, a company that sponsors most of the development work on Kafka.
However, it presents an API that is not very Pythonic, and can be tricky to use.
The aiokafka_consumer example shows how to connect using the aiokafka library.
This library has a much more Pythonic API, but a smaller development effort behind it.
It also uses the Python asyncio framework which allows for concurrent execution within a Python process.
This can be useful for building high-performance streaming applications in pure Python, but it can be very confusing for newcomers.
The java_console_consumer example shows how to connect using a command-line script that ships with Kafka which uses Java.
It illustrates the Java .properties you'd need to set to connect to the broker.
It also shows how you can connect with just Docker for a minimal test of connectivity.
In general, these examples expect credentials to be provided as two environment variables, KAFKA_USERNAME and KAFKA_PASSWORD.
If you set those to correct values for the integration endpoint, you should be able to run the code examples as-is.