AWS RDS Aurora Postgres Database Setup: Create/Drop using Python Script

AWS Aurora PostgreSQL Tutorial:

In this video we are going to show you how easy it is to setup and use python automation scripts to create and drop an AWS Aurora Postgres Database. This will even work on the AWS Free Tier. Using these scripts, we will create, and then delete, an AWS RDS Aurora Postgres database programmatically. You can run one script to create a database for your project, and then run another script to delete that database when you are finished with it, or if you ever need to make major changes to your database.

AWS Aurora Postgres databases have become the MOST popular solution for a MAJORITY of applications. This is because it is easy to use, its flexible, its reliable, its efficient, its highly secure, and has many advanced features not available in other database solutions.
In addition, the AWS AURORA version has some ADDITIONAL advantages, such as being fully managed, highly scalable, more efficient, along with having a serverless option (which is helpful when you have a highly variable process load).
Other databases have compute and storage resources tied together, forcing you to expand both when you may only need more of one.
However, AWS Aurora Postgres SEPARATES the compute from storage, allowing for a more FLEXIBLE solution that can be optimized for each, independently. Meaning you can add more compute OR more storage when needed. For example, you're not forced to add both to solve a problem with just one.

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