10 best practices to reduce your AWS RDS costs

AWS RDS (Relational Database Service) is a fully managed cloud-based service provided by Amazon Web Services that simplifies the setup, operation, and scaling of relational databases. To optimize costs, users can implement strategies such as using Reserved Instances (RIs) to commit to specific capacities for cost savings, leveraging Spot Instances for non-critical workloads, and utilizing autoscaling to pay only for necessary resources. It's crucial to right-size RDS instances to match workload needs and consider removing unnecessary features like backups for non-critical databases or enhanced monitoring to lower expenses. Storage costs can be reduced through data archiving, compression, and choosing appropriate storage types, while managing manual snapshots and automating RDS shutdown during off-hours can further decrease costs. Multi-AZ deployments, offering high availability, should be used judiciously as they incur additional expenses. Regularly reviewing usage and adjusting strategies ensures optimal cost management for AWS RDS instances.