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Protobuf schema evolution requires careful changes to avoid breaking existing clients.

Kafka uses different strategies to assign partitions to consumers in a group efficiently.

Older offsets can overwrite newer ones in Kafka if not handled properly.

Elasticsearch offers Data Streams for simplicity and Time-Based Indices for control in managing time-series data.

The dual-write trap in Elasticsearch can cause data inconsistency during reindexing.

Vertical scaling means upgrading one server, while horizontal scaling means adding more servers.

Kafka consumer offsets help track message processing to avoid loss and duplication.

Graceful degradation allows apps to function partially during service failures.

Microservices are useful when you need independent scaling, deployment, and clear boundaries in software design.

Microservices and modular monoliths differ mainly in deployment and communication methods.

You can update Elasticsearch indices without downtime using alias switching.

The Saga Pattern manages distributed transactions using local transactions and compensating actions.

Elasticsearch aliases allow zero-downtime switching between indices for applications.