Amazon Relational Database Service (Amazon RDS) is a managed service that makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity, while managing time-consuming database administration tasks, freeing you up to focus on your applications and business.
Amazon RDS gives you access to the capabilities of a familiar MySQL, MariaDB, Oracle, SQL Server, or PostgreSQL database. This means that the code, applications, and tools you already use today with your existing databases should work seamlessly with Amazon RDS. Amazon RDS can automatically backup your database and keep your database software up to date with the latest version. You benefit from the flexibility of being able to easily scale the compute resources or storage capacity associated with your relational database instance. In addition, Amazon RDS makes it easy to use replication to enhance database availability, improve data durability, or scale beyond the capacity constraints of a single database instance for read-heavy database workloads. As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use.
When to use
Amazon RDS manages the work involved in setting up a relational database: from provisioning the infrastructure capacity you request to installing the database software. Once your database is up and running, Amazon RDS automates common administrative tasks such as performing backups and patching the software that powers your database. With optional Multi-AZ deployments, Amazon RDS also manages synchronous data replication across Availability Zones with automatic failover.
Since Amazon RDS provides native database access, you interact with the relational database software as you normally would. This means you’re still responsible for managing the database settings that are specific to your application. You’ll need to build the relational schema that best fits your use case and are responsible for any performance tuning to optimize your database for your application’s workflow.
Amazon Web Services provides a number of database alternatives for developers. Amazon RDS enables you to run a fully featured relational database while offloading database administration. Using one of our many relational database AMIs on Amazon EC2 allows you to manage your own relational database in the cloud.
Availability: AWS RDS is a highly available relational database that offers a feature called Multi-AZ, which provides a SLA up-time of 99.95%.
Scalability: Database scalability can prove to be a real challenge if you try to scale your own, self-hosted database.
Vertical Scalability /Scaling Up: With RDS, Amazon enables push-button vertical scaling. This means that you can scale the size of an RDS instance [memory, CPU, PIOPS etc] or disk, either up or down, with the click of a button.
Horizontal Scalability /Scaling Out: Horizontal scalability is an approach that distributes the total database across many RDS instances that will work together.
Performance: AWS RDS offers PIOPS (Provisioned IOPS) in order to achieve fast, consistent and predictable Input/Output (I/O) performance.
Backup: AWS RDS provides two types of backup mechanisms which are both very easy to setup:
Automated backup – This functionality automatically performs a full daily snapshot of a database’s data (during a preferred window of time set up by the user). It also captures your transaction logs as well as any updates to your RDS database.
Point-in-Time snapshots – RDS database snapshots are user initiated. Unlike automated backup, which is performed once a day, point-in-time snapshots can be performed as many times as desired. Generally, they are useful to backup set database states, like before a major release or an application upgrade.
Tutorials on how to start with AWS RDS can be found below
The best practices and tips can be found in the below link
Amazon RDS is free to try. Pay only for what you use. There is no minimum fee. You can pay for Amazon RDS using On-Demand or Reserved Instances. Additional information can be found below.