𝑰𝒏𝒕𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝒕𝒐 𝑹𝑫𝑺 (𝑹𝒆𝒍𝒂𝒕𝒊𝒐𝒏𝒂𝒍 𝑫𝒂𝒕𝒂𝒃𝒂𝒔𝒆 𝑺𝒆𝒓𝒗𝒊𝒄𝒆)

Introduction to RDS (Relational Database Service)

Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the AWS Cloud. It provides cost-efficient, resizable capacity for an industry-standard relational database and manages common database administration tasks.

How Amazon RDS Works?

Traditionally, database management used to be a very scattered service, from the webserver to the application server and then finally to the database. For the maintenance of such a vast system a team was required, to shrink this workforce, AWS came across an amazing all-in-one service, RDS. The whole architecture of RDS includes every aspect of the traditional management system, all in place. Thus, it includes everything from EC2 (Elastic Compute Cloud) to DNS (Domain Name System). Every part of the RDS architecture has its own separate set of features completely different from each other.

Use Cases Of Amazon RDS (AWS)

WebApplication: The Amazon RDS is mainly used for the backend for web applications where it can support maximum no.of in and output operation. And also is easy to scale up and down.

Managed Database: Instead of you managing the database AWS will provide Amazon RDS as a service by just doing some configuration your database will be available to perform the operations.

Isolation: You can integrate and configure multiple applications with secure isolation by protecting the data of each application's customers while managing the underlying infrastructure.

Highly Secured: You can use Amazon RDS for domains like health care and banking because the data used in this type of application is highly secure which can be achieved with the help of AWS RDS.

Advantages of Amazon RDS

Amazon RDS is a managed database service. It's responsible for most management tasks. By eliminating tedious manual processes, Amazon RDS frees you to focus on your application and your users.

Amazon RDS provides the following principal advantages over database deployments that aren't fully managed:

You can use database engines that you are already familiar with: IBM Db2, MariaDB, Microsoft SQL Server, MySQL, Oracle Database, and PostgreSQL.

Amazon RDS manages backups, software patching, automatic failure detection, and recovery.

You can turn on automated backups, or manually create your own backup snapshots. You can use these backups to restore a database. The Amazon RDS restore process works reliably and efficiently.

You can get high availability with a primary DB instance and a synchronous secondary DB instance that you can fail over to when problems occur. You can also use read replicas to increase read scaling.

In addition to the security in your database package, you can control access by using AWS Identity and Access Management (IAM) to define users and permissions. You can also help protect your databases by putting them in a virtual private cloud (VPC).