Disadvantages Of Terraform
The following are the disadvantages of terraform:
- Low Performance: Terraform’s performance can be decreased for complex and large infrastructures, especially during the planning and applying phases, as it needs to process and manage a large number of resources.
- Debugging of Errors: Debugging errors in Terraform, especially in large deployments, can be challenging. Limit in rollback capabilities can be additional to the troubleshooting.
- Low Visibility and Monitoring Capabilities: Terraform does not provide built-in visibility or monitoring capabilities for the resources it manages. need to depend on external tools like prometheus or cloud provider services for monitoring and visibility
- Limit in Testing and Validation: While Terraform supports basic syntax validation, it lacks IN advanced testing and validation capabilities for configurations.
How To Create Autoscaling Group In AWS Using Terraform ?
An auto-scaling group is a service that is provided in EC2 and is primarily used for an automatic increase or decrease in a number of EC2 instances based on the application’s user traffic. For example, if your application is experiencing high traffic, the auto-scaling group can launch extra instances to handle the increased load, and if the traffic coming towards to application is low, the auto-scaling group can shut down or terminate unnecessary instances for cost-saving purposes. The auto-scaling group can be created based on scaling policies, These policies can be defined for scaling in and out in response to various metrics, such as CPU utilization, network traffic, or custom metrics.