Building and Managing a Multi-Region AWS Aurora Cluster with Failover Setup using Terraform
Todd Bernson / May 11, 2023
In today’s fast-paced digital world, the need for highly available and scalable database systems has never been greater. AWS Aurora, a MySQL and PostgreSQL-compatible relational database built for the cloud, is a popular choice among businesses seeking to leverage the power of AWS’s scalable and distributed infrastructure. In this article, we’ll explore how to build and manage a multi-region AWS Aurora cluster with an active/active setup using Infrastructure as Code (IaC) tool, Terraform.
Understanding AWS Aurora
AWS Aurora is a part of Amazon’s Relational Database Service (RDS) offering, designed to provide high performance and availability, offering up to five times the throughput of standard MySQL and three times the throughput of standard PostgreSQL. Its multi-region, failover setup leverages the power of multiple geographical locations to deliver robustness and resilience, ensuring that your database stays up and running even in the face of region-wide outages.
Infrastructure as Code (IaC) with Terraform
Infrastructure as Code is a key practice in DevOps that promotes infrastructure management in a descriptive model, using the same versioning system as the DevOps team uses for source code. Among various tools available, Terraform stands out due to its cloud-agnostic approach. It allows you to manage various service providers and in-house custom solutions.
To start using Terraform for managing your AWS resources, you first need to set up your AWS CLI and Terraform CLI. Once these are appropriately installed and configured with your AWS credentials, you can kickstart your IaC journey.
Creating AWS Resources with Terraform
Now that your environment is set up, let’s use Terraform to create the necessary AWS resources. The following resources will be created:
terraform plan -out=plan.out
This will create 111 resources.
Managing Terraform State
Terraform uses a state file to map resources to your configuration. By default, Terraform stores this state file on your local filesystem. However, you’ll need a remote backend when working on a shared project or across different machines. Terraform supports multiple backends like AWS S3, Google Cloud Storage, etc. Remember to add a backend.tf file to your project with your desired backend for the state file.
Advanced Terraform Usage
Terraform scripts can be made more efficient and reusable by using variables, modules, and data sources. For instance, you can change some default values in your variables.tf file according to your needs.
Troubleshooting and Best Practices
When working with AWS and Terraform, you might encounter issues that require troubleshooting. Terraform provides detailed error messages that can help you identify and fix problems. Always ensure your AWS CLI and Terraform CLI are set up correctly and that you have the necessary permissions in your AWS account.