concept

Data Mirroring

Data mirroring is a data replication technique that creates and maintains an exact copy (mirror) of a dataset on a separate storage system, typically in real-time or near-real-time. It ensures high availability, disaster recovery, and load balancing by keeping data synchronized across multiple locations. This is commonly used in databases, file systems, and enterprise storage solutions to prevent data loss and minimize downtime.

Also known as: Database Mirroring, Storage Mirroring, Real-time Replication, Synchronous Replication, DR Mirroring
🧊Why learn Data Mirroring?

Developers should learn data mirroring when building systems requiring high availability, fault tolerance, or disaster recovery, such as financial applications, e-commerce platforms, or critical infrastructure. It's essential for scenarios where data loss is unacceptable, enabling seamless failover and reducing recovery time objectives (RTO) and recovery point objectives (RPO).

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