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Aurora


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Resource Overview​

Amazon Aurora is a fully managed relational database engine compatible with MySQL and PostgreSQL. You may already know how MySQL and PostgreSQL combine the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. All code, tools, and applications used for existing MySQL and PostgreSQL databases today can also be used with Aurora. For some workloads, Aurora can deliver up to five times the throughput of MySQL and up to three times the throughput of PostgreSQL with little or no modification to existing applications.

Connected Resources​

Resource Configuration​

Basic Settings​

  • database_name : Initial database name, alphanumeric, 1 ~ 64 characters
  • engine : Aurora engine type used for RDS - aurora-mysql, aurora-postgresql
  • engine_version : Aurora engine version used for RDS
  • instance_class : RDS DB instance type
  • engine_mode : Aurora engine mode - provisioned, multimaster, parallelquery, serverless
  • multi_az_enabled : Whether Multi-AZ deployment is enabled - true, false
  • master_username : Master username
  • master_password : Master user password
  • included_subnet_names : List of subnet names connected to the RDS subnet group
  • subnet_group_name : Name of the subnet group used for RDS
  • linked_security_group_names : List of security groups to apply

Monitoring Settings (monitoring)​

  • monitoring.performance_insights_enabled : Whether Performance Insights is enabled - true, false
  • monitoring.kms_key_name : KMS key name used for Performance Insights

Encryption Settings (encryption)​

  • encryption.storage_encrypted : Whether DB instance encryption is enabled - true, false
  • encryption.kms_key_name : KMS key name used for encryption

Backup Settings (backup)​

  • backup.backup_retention_period : Backup retention period - 1 ~ 35
  • backup.final_snapshot_enabled : Whether to create a final snapshot before DB deletion - true, false
  • backup.final_snapshot_name : Final snapshot name

Tags​

  • tag : Tags used to categorize the resource - maximum 512 characters, key:value

References​