Database clusters
A group of interconnected databases that work together for high availability and scalability.
Description
In the context of AWS, database clusters refer to a collection of databases that are designed to operate as a single unit. This architecture allows for improved performance, scalability, and data redundancy. AWS offers various services that support database clustering, such as Amazon RDS (Relational Database Service) and Amazon Aurora. In an Amazon Aurora cluster, for example, up to 15 read replicas can be created, which allows for load balancing and reduces latency for read-heavy applications. Clusters can automatically handle failover, ensuring that if one instance fails, others can take over without significant downtime. This setup is particularly beneficial for applications that require high availability and resilience, such as e-commerce platforms or financial services. Additionally, database clusters can facilitate data distribution across multiple geographic locations, enhancing access speed for global users and improving disaster recovery capabilities. Overall, database clusters in AWS provide a robust solution for managing large volumes of data efficiently and securely.
Examples
- Amazon Aurora: A MySQL and PostgreSQL-compatible relational database that offers high performance and availability through clustering.
- Amazon RDS for PostgreSQL: Allows for the creation of multi-AZ (availability zone) deployments to enhance database availability and durability.
Additional Information
- Database clusters can automatically scale up or down based on demand, optimizing resource usage and costs.
- AWS provides monitoring tools like Amazon CloudWatch to oversee the health and performance of database clusters.