Posted On: Feb 6, 2020
You can now use AWS PrivateLink to privately access Amazon RDS Data API for Aurora Serverless from your Amazon Virtual Private Cloud (Amazon VPC) without using public IPs, and without requiring the traffic to traverse across the Internet. You can now submit your SQL statements to Amazon RDS Data API without requiring an Internet Gateway in your VPC. AWS PrivateLink provides private connectivity between VPCs, AWS services, and on-premises applications, securely on the Amazon network. Amazon RDS Data API customers can now use private IP connectivity and security groups to meet their specific compliance requirements.
RDS Data API enables you to focus on building your applications without worrying about managing database connections or connection pools. Instead, you can issue SQL commands against an Aurora Serverless cluster by simply invoking a secure API endpoint. Amazon RDS Data API uses HTTPS to communicate with your Aurora cluster and is secured via SSL and IAM authentication. With today’s launch, by using AWS PrivateLink you can execute SQL statements using the Data API, while significantly simplifying your internal network architecture. You no longer need to use an Internet Gateway, Network Address Translation (NAT) devices, or firewall proxies to connect to RDS Data API.
To use AWS PrivateLink, create an interface VPC endpoint for Data API for Aurora Serverless in your VPC using the Amazon VPC console, SDK, or CLI. You can also access the VPC endpoint from on-premises environments or from other VPCs using AWS VPN, AWS Direct Connect, or VPC Peering.
Amazon RDS Data API is available in US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), and Asia Pacific (Tokyo) Regions. To learn more, read the documentation, or get started in the AWS Console.
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. You can learn more about Amazon Aurora by visiting the product page.