Amazon Aurora storage and reliability - Amazon Aurora

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• When Aurora data is removed, the space allocated for that data is freed. Examples of removing data include dropping or truncating a table. This automatic reduction in storage usage helps you to minimize storage charges.

• Amazon Aurora storage and reliability

• Aurora data is stored in the cluster volume, which is a single, virtual volume that uses solid state drives (SSDs). A cluster volume consists of copies of the data across three Availability Zones in a single AWS Region. Because the data is automatically replicated across Availability Zones, your data is highly durable with less possibility of data loss.

• Aurora uses separate local storage for nonpersistent, temporary files.

• What the cluster volume contains The Aurora cluster volume contains all your user data, schema objects, and internal metadata such as the system tables and the binary log. For example, Aurora stores all the tables, indexes, binary large objects (BLOBs), stored procedures, and so on for an Aurora cluster in the cluster volume

• How Aurora storage automatically resizes Aurora cluster volumes automatically grow as the amount of data in your database increases.

• This automatic storage scaling is combined with a high-performance and highly distributed storage subsystem. These make Aurora a good choice for your important enterprise data when your main objectives are reliability and high availability.

• The maximum size for an Aurora cluster volume is 128 tebibytes (TiB) or 64 TiB,