Accidentally deleting data or making unintended changes in a database can lead to significant disruptions, especially in business-critical systems. Restoring a previous state often requires complex procedures or backups, which can be time-consuming and inefficient. With Amazon Aurora MySQL, AWS offers a Backtrack feature that allows you to rewind the database to a specific point in time, helping to recover from these mistakes quickly and seamlessly.
In this Cloud Lab, you’ll learn how to restore your Amazon Aurora DB to a previous state using its Backtrack feature. You’ll start by creating an EC2 instance. Next, you’ll create an Aurora DB cluster and connect it using the EC2 instance to populate the database. You’ll then change the database to simulate an unintended modification. After making the data modifications, you’ll revert the database to its previous state without needing a restore from backup, using the Backtrack feature.
After completing this Cloud Lab, you’ll understand the backtracking functionality and the practical skills required to manage Amazon Aurora resources efficiently.
The following is the high-level architecture diagram of the infrastructure that you’ll provision in this Cloud Lab:
