You mentioned that you used Redis for working with Kafka — can you explain why?

Redis is often used together with Kafka to solve several tasks:

• Caching state: Redis can store intermediate data or processing state of messages to quickly access it without load on Kafka.

• Queue management and deduplication: Redis allows implementing additional control mechanisms, such as storing unique message identifiers to prevent reprocessing.

• Transactional and coordination: In distributed systems, Redis can be used to implement locks or semaphores to coordinate Kafka consumers.

• Buffering and temporary storage: Sometimes Redis is used as a fast buffer between Kafka and end systems, especially if quick response to changes or high throughput is required.

Example: if you have a microservice that reads messages from Kafka and updates data in a database, Redis can store current states or counters to avoid reprocessing or to speed up access to frequently used information.