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Evaluating the right fit for your Amazon Aurora workloads: provisioned or Serverless v2

  • Amazon Aurora is a managed, cloud-native relational database service with MySQL and PostgreSQL compatibility, designed to offer the performance and availability of commercial databases at a lower cost.
  • Aurora uses distributed architecture that separates compute capacity from storage, providing up to 128 TB of storage, high performance, and 99.99% availability.
  • Important concepts of Aurora provisioned and Aurora Serverless v2 databases include clusters and instances, advantages of this architecture, and capacity and pricing.
  • Aurora Serverless v2 scales the size of an Aurora instance based on workload and enables a richer feature compatibility with provisioned instances.
  • Capacity of Aurora Serverless v2 is defined by Aurora Capacity Unit (ACU), and pricing is based on ACU-hours, which ensures the most precise fit of resources to your workload.
  • Aurora Serverless v2 is available in all regions where Amazon Aurora is available, and the version support is similar to provisioned instances.
  • Aurora Serverless v2 ensures feature compatibility and upgrades are the same as for provisioned instances.
  • When planning for performance with Aurora Serverless v2, you will need to consider additional factors like minimum ACU, rate of instance scale, and buffer pool capacity, among others.
  • Amazon Aurora provides a cluster endpoint which always points to the current writer node in the cluster, and Aurora Global Database offers the ability to maintain a live copy of your database cluster in up to five additional AWS Regions.
  • Provisioned instances and Aurora Serverless v2 instances are complementary; choose which one is the best fit for your workload and validate these assumptions to optimize your database solutions on AWS.

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