What is Database Clustering?
Blog post from Harper
Database clustering involves connecting multiple database servers or instances to handle large-scale systems, offering benefits like increased user capacity, system redundancy, and failure mitigation. There are two primary clustering architectures: shared-nothing, where each server operates independently, offering high scalability, and shared-disk, where all servers access the same data, allowing less scalability due to a central controlling node. Clustering enhances system performance through load balancing, ensuring efficient task distribution, and facilitates global reach by placing servers geographically closer to users. It also ensures data redundancy, maintaining data integrity across servers to prevent data loss. Harper provides a database clustering solution with features like load balancing and data redundancy, using a bi-directional pub/sub model that ensures transactions are processed in an ACID-compliant manner for high data validity.
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