The hands-on lab is part of these learning paths
Ready for the real environment experience?
Amazon Relational Database Service (Amazon RDS) is a web service that makes it easy to set up, operate, and scale a relational database in the cloud. You can migrate existing applications and tools that utilize a relational database to the Amazon Web Services because Amazon RDS offers access to the capabilities of a MySQL, Oracle, SQL Server, and the PostgreSQL database engine. Amazon RDS provides cost-efficient and resizable capacity while managing time-consuming database administration tasks. This efficiency frees you to focus on your applications and business.
Upon completion of this Lab you will be able to:
- Use the AWS Management Console to create RDS subnet groups
- Create RDS database clusters
- Manage access to RDS clusters using security group rules
- Connect to your RDS cluster and edit tables
You should be familiar with:
- The basics of working with Linux at the command line
- Networking rules and database concepts familiarity is helpful but not required
May 31st, 2019 - Replaced SSH connection with a browser-based Session Manager shell
May 30th, 2019 - Updated the formatting of this Lab to improve quality
May 2nd, 2019 - Updated screenshots and instructions to improve the lab's quality
March 7th, 2019 - Updated screenshots and instructions because of AWS dashboard changes
November 27th, 2018 - Added a validation Lab Step to check the work you perform in the Lab
May 14th, 2018 - Updated screenshots and improved instruction clarity for connecting to the EC2 instance
April 9th, 2018 - Updated screenshots to match new UI
About the Author
Antonio is an IT Manager and a software and infrastructure Engineer with 15 years of experience in designing, implementing and deploying complex webapps.
He has a deep knowledge of the IEEE Software and Systems Engineering Standards and of several programming languages (Python, PHP, Java, Scala, JS).
Antonio has also been using and designing cloud infrastructures for five years, using both public and private cloud services (Amazon Web Services, Google Cloud Platform, Azure, Openstack and Vmware vSphere).
During his past working experiences, he designed and managed large web clusters, also developing a service orchestrator for providing automatic scaling, self-healing and a Disaster Recovery Strategy.
Antonio is currently the Labs Product Manager and a Senior DevOps Engineer at Cloud Academy; his main goal is providing the best learn-by-doing experience possible taking care of the Cloud Academy Labs platform.