Specify a bucket name (unique) and the region, as shown below.Ĭlick Ok, and it configures this SQLShackDemo with default settings. In this article, we create the bucket with default properties. In the Services, go to S3 and click on Create Bucket. Let’s create a new S3 bucket for this article. In the following image, we get a high-level overview of steps required to integrate an S3 bucket and AWS RDS SQL Server. For example, my RDS instance is in the us-east-1f region, so we cannot use an S3 bucket that does not belong to the RDS region. We need to remember that the S3 bucket and the RDS SQL instance should be in a region. You can follow the article Multi-AZ Configuration for AWS RDS SQL Server to understand the difference in single and Multi-AZ instance We cannot use RDS S3 integration in the Multi-AZ instances. You should follow the article AWS RDS SQL Server – Launching a new database instance to create a new DB instance in RDS We will cover more on it later in this article. RDS uses the D:\S3 folder for this purpose in the RDS instance.
We can download and upload the files from the S3 bucket to the RDS instance. In this article, we will view the steps to integrate an AWS S3 bucket with RDS SQL Server. We can store any kind of objects such as text, CSV, XML in the S3 bucket. You can use the S3 bucket for this purpose. Suppose you need to import or export data from the RDS SQL Server. You can use this article AWS RDS SQL Server – Launching a new database instance to create a new Amazon RDS SQL instance.ĪWS also provides an object storage solution known as Simplified Storage Service. It is secure, reliable, scalable, highly available, and low cost. It provides the following database systems. We do not require to manage the hardware, backups, patching, and focus on the application tasks. This article gives you an overview of integrating AWS S3 buckets with AWS RDS SQL Server.ĪWS provides a fully managed relational database service (RDS) in the cloud.