What is the main problem of this implementation Lack of Consumer Group separation Configured wait time in polling Integration with the Diptychi system Incorrect message storage policy Lack of message filtering settings in the listener factory configuration No separate batches

The main problem of this implementation is the lack of separation of the Consumer Group.

Explanation:

• A Consumer Group in message processing systems (e.g., Kafka) allows load distribution and scalability, as well as guarantees that each message will be processed by exactly one consumer in the group.
• If the Consumer Group is not separated, all consumers can read the same messages, leading to duplicate processing and reduced efficiency.

Other points:

• Programmed wait time in polling — may be an issue, but not critical if configured correctly.
• Integration with the Diptychi system — not an issue in itself.
• Incorrect message storage policy — important, but difficult to judge without context.
• Lack of message filtering configuration — reduces flexibility, but not the main problem.
• Absence of separate batches — may affect performance, but not as critical as the Consumer Group.

Thus, the lack of separation of the Consumer Group is a key architectural problem affecting the correctness and scalability of the system.