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The db.t2.micro instance type provides a single CPU core and 1 GB of RAM.
The db.m1.small instance type provides one CPU core and 1.7 GB of RAM.
The db.t2.medium instance type provides two CPU cores and 2 GB of RAM.
The db.m1.large instance type provides four CPU cores and 7.5 GB of RAM.
The db.t2.large instance type provides two CPU cores and 4 GB of RAM.
The db.r3.xlarge instance type provides four CPU cores and 15.25 GB of RAM.
The db.m1.xlarge instance type provides eight CPU cores and 15.7 GB of RAM.
The db.t2.xlarge instance type provides four CPU cores and 8 GB of RAM.
The db.r4.large instance type provides two CPU cores and 15.25 GB of RAM.
The db.m4.xlarge instance type provides four CPU cores and 16 GB of RAM.
The db.r5.large instance type provides two CPU cores and 2 GB of RAM.
The db.t4g.micro instance type provides two CPU cores and 1 vCPU core and 1 GB of RAM.
The db.r5.xlarge instance type provides four CPU cores and 16 GB of RAM.
The db.m5.large instance type provides two CPU cores and 8 GB of RAM.
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Amazon Relational Database Service (RDS) is a managed relational database service offered by Amazon Web Services. It allows users to create, manage, and scale databases for their applications in the cloud.
The benefits of using Amazon RDS include high availability, scalability, and reliability. With RDS, you can quickly create a database instance and scale it up or down as needed to meet your application's demands.
Amazon RDS supports several popular database engines, including MySQL, PostgreSQL, Oracle, SQL Server, and Amazon Aurora. This allows you to choose the engine that best meets the needs of your application.
To secure your Amazon RDS database instance, you can use features such as VPC support, network ACLs, security groups, and encryption. You should also implement strong authentication and authorization mechanisms to control access to your database.
Yes, you can use your own database schema with Amazon RDS. When creating a new database instance, you can specify the database engine and version, as well as upload your custom schema to be used for the database.
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