Data Protection

DMS for Kafka takes different measures to keep data secure and reliable.

**Table 1** DMS for Kafka data protection methods and features
Measure	Description	Reference
DR and multi-active	To meet reliability requirements of your data and services, you can deploy a Kafka instance in a single AZ (single equipment room) or across AZs (intra-city DR), and use the data synchronization tool MirrorMaker to synchronize data across instances.	Buying an Instance Within an AZ or Across AZs Using MirrorMaker to Synchronize Data Across Instances
Data replication	Data can be synchronized between replicas for data consistency. When a network exception or node fault occurs, a failover is automatically performed using the replicas. After the fault is rectified, data is synchronized from the leader replica to ensure data consistency.	Creating a Topic with Multiple Replicas
Data persistence	Exceptions may occur during daily running of the service system. Some service systems require high reliability, including high availability of instances, data security, and recoverability, so that backup data can be used to restore instances if an exception occurs, ensuring service running.	-