- Deploy a Global Aurora Postgres Serverless V2 Database Cluster with Disaster Recovery (DR) and In-Database Machine Learning Capabilities.
- Machine learning features include:
- AWS Comprehend for Sentiment Analysis.
- AWS SageMaker Machine with Linear Learner, Random Forest & Xboost algorithms features.
- Machine learning features include:
- The global database ensures Cross-Region Disaster Recovery, hence:
- If the primary (source) region suffers an outage, the secondary region cluster can be promoted to a stand alone primary cluster.
- The cluster can recover in less than 1 minute with an effective Recovery Point Objective (RPO) of 1 second and a Recovery Time Objective (RTO) of less than 1 minute.
- The following resources are deployed:
- AWS Secret Manager Secret
- AWS VPC Security Group
- AWS RDS DB Subnet Group
- AWS RDS Cluster Parameter Group
- AWS RDS DB Parameter Group
- AWS RDS Enhanced Monitoring IAM Role
- AWS Aurora Postgres Cluster-Comprehend IAM Role
- AWS Aurora Postgres Cluster-Sagemaker IAM Role
- AWS Aurora PostgreSQL Serverless Global Cluster
- AWS Aurora PostgreSQL Serverless Primary and Secondary Clusters (on the Global Cluster) and Related Primary and Reader DB Instances
- AWS RDS Cluster Role Associations for Associating Cluster with AWS Comprehend on the Primary and Secondary Clusters
- AWS RDS Cluster Role Associations for Associating Cluster with AWS SageMaker on the Primary and Secondary Clusters
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