What criteria were used to divide consumer groups?

Division of consumer groups in Kafka or similar systems is usually based on several criteria:

• Functional separation: different consumer groups handle different types of messages or perform different business tasks.
• Load isolation: to avoid competition for resources and ensure scalability, groups are separated by load or geographic location.
• Fault tolerance: multiple groups can process the same data in parallel for redundancy.
• Version or environment: separation into groups for development, testing, and production.

For example, if we have a stream of order events, one consumer group might handle customer notifications, another updates sales statistics, and a third synchronizes data with CRM. This separation allows for scaling processing and minimizing mutual influence.