AWS - Relational Database Service Solutions

AWS Cloud - Database - Relatime Handson Usecase

1. Why We Need This Use Case

Amazon Relational Database Service (RDS) simplifies the setup, operation, and scaling of relational databases in the cloud. By using RDS, you can offload database management tasks such as backups, patch management, and scaling to AWS, allowing you to focus on application development. RDS supports multiple database engines (e.g., MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server) and provides features such as automated backups, snapshots, and multi-AZ deployments for high availability and disaster recovery.

2. When We Need This Use Case

• When you want to deploy a relational database with minimal administrative overhead.

• When aiming to scale database capacity easily without manual intervention.

• When needing to ensure high availability and disaster recovery for your database.

• When wanting to leverage managed services to handle routine database tasks such as backups and patching.

• When implementing databases for web applications, data warehousing, or analytics workloads.

3. Prerequisites for the Lab

• An active AWS account.

• Basic knowledge of relational databases and AWS RDS.

• Familiarity with AWS Management Console or AWS CLI.

• An application or use case that requires a relational database.

• AWS CLI installed and configured (Installation guide).