Amazon Relational Database Service simplifies installation, operation, and scaling of relational databases.
Amazon Relational Database Service (Amazon RDS) simplifies installation, operation, and scaling of relational databases in the AWS cloud. Amazon RDS is very cost-efficient and scalable. The tasks such as hardware provisioning, database setup, patching, and backups are fully automated.
Amazon RDS is designed to work with various database engines, such as Amazon Aurora, MySQL, MariaDB, Oracle, Microsoft SQL Server, and PostgreSQL. Tools, applications, and various tools you are already using for your current databases can be used with Amazon RDS.
Amazon RDS is production-ready, meaning it makes it easy to use replication to enhance availability and reliability. By using Multi-AZ, we can run mission-critical workloads with high availability and built-in automated fail-over from your primary database to a synchronously replicated secondary database. By using read replicas, we can optimize read-heavy database workloads.
Amazon RDS offers many benefits over traditional databases.
Amazon RDS is simple to administer; there is no need for infrastructure provisioning, or installing and managing database software.
Amazon RDS supports two options, SSD-backed storage for high-performance apps, and cost-effective general-purpose use storage.
Amazon RDS enables simple scaling of your database’s compute and storage resources; it only requires few mouse clicks or an API call.
As a part of Amazon Web Services, Amazon RDS runs on the highly reliable infrastructure as other AWS services.
Amazon RDS enables the isolation of database instances through the use of Amazon Virtual Private Cloud (Amazon VPC).
Amazon RDS offers many payment models and pricing options, such as on-demand, reserved instance, and others.
Simplify your database management by moving your database to AWS with Amazon Relational Database Service (RDS).
Amazon RDS is suitable for various implementation use cases.
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