Tell us about your experience with Kafka and Redis.

Kafka and Redis are two different technologies that are often used together to solve high load and low latency problems.

Kafka is a distributed message streaming platform that allows processing large volumes of data in real-time. In QA automation with Kafka, I worked on testing systems where it is important to verify the correctness of message transmission and processing, fault tolerance, and performance.

Redis is a high-performance in-memory data store, often used as a cache or message broker. In QA, it is important to verify the correctness of cache operation, its relevance, and proper data updating.

Example of usage in tests:

# Example of checking Redis write and read
import redis

r = redis.Redis(host='localhost', port=6379)
r.set('test_key', 'value')
assert r.get('test_key') == b'value'

For Kafka, tests can be written to verify message publishing and consumption, for example, using Kafka libraries in tests.