How to stand up multiregion PostgreSQL® with Pulumi

This tutorial demonstrates how to improve PostgreSQL performance by setting up a multiregion service using Python and Pulumi with Aiven. The process involves isolating read-intensive workloads to replicas, which can be helpful for analytical workloads such as interactive dashboards that use a read replica as the data source for reporting. Using Aiven, you can quickly deploy managed PostgreSQL services on public clouds like AWS, GCP, and Azure. Pulumi enables developers to create, deploy, and manage infrastructure on any cloud using their favorite programming languages. The tutorial provides step-by-step instructions on setting up the environment, configuring project settings for Pulumi, deploying the service with Aiven, testing the setup, cleaning up resources, and understanding the Python code details involved in creating Aiven infrastructure using Pulumi and generating test data using Python.