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Triage and Remediation

Remediation

Using Console

To remediate the misconfiguration “Provisioned Instances Should Not Exceed Set Threshold” for GCP using GCP console, follow the below steps:
  1. Login to the GCP console (https://console.cloud.google.com/).
  2. Navigate to the “Compute Engine” service from the navigation menu on the left-hand side.
  3. Click on the “Instance Groups” option from the sub-menu.
  4. Select the instance group that has exceeded the set threshold.
  5. Click on the “Edit Group” button at the top of the page.
  6. In the “Autoscaling” section, adjust the maximum number of instances to the desired threshold.
  7. Click on the “Save” button to apply the changes.
Once the above steps are completed, the instance group will be remediated and the number of provisioned instances will be within the set threshold.

To remediate the issue of Provisioned Instances Should Not Exceed Set Threshold in GCP using GCP CLI, follow the below steps:Step 1: Open the Cloud Shell in your GCP console.Step 2: Run the following command in your Cloud Shell to get the list of all the instances running in your GCP project:
Step 3: Check the number of instances running and compare it with the set threshold. If the number of instances is exceeding the set threshold, then you need to delete some of the instances.Step 4: To delete an instance, run the following command:
Replace [INSTANCE_NAME] with the actual name of the instance you want to delete.Step 5: Confirm the deletion by typing “Y” when prompted.Step 6: Repeat Step 4 and Step 5 for all the instances you want to delete.Step 7: Once you have deleted the required number of instances, re-run the command in Step 2 to verify that the number of instances is now within the set threshold.By following the above steps, you can remediate the issue of Provisioned Instances Should Not Exceed Set Threshold in GCP using GCP CLI.
To remediate the “Provisioned Instances Should Not Exceed Set Threshold” misconfiguration in GCP using Python, you can use the following steps:
  1. Define the set threshold for the number of provisioned instances.
  2. Use the GCP Python SDK to retrieve a list of all the instances currently provisioned in the project.
  3. Count the number of instances in the list.
  4. If the number of instances exceeds the set threshold, use the GCP Python SDK to delete the excess instances.
Here’s some sample Python code that can be used to remediate this misconfiguration:
Note that you will need to replace the my-gcp-project and us-central1-a placeholders in the code with your own GCP project and zone information. Additionally, you may need to authenticate with GCP using a service account key before running this code.
Terraform and the google_sql_database_instance resource do not expose any argument that can globally cap the number of SQL instances; the only way to remediate is to reduce the number of instances you declare (or destroy existing ones) so the total in the project/organization is at most 50.This change is destructive for any instances you remove from var.cloud_sql_instances: those instances will be destroyed, which is irreversible and will cause downtime unless you migrate workloads first.Verification: terraform plan should show a set of google_sql_database_instance.this["INSTANCE_NAME"] resources with -/+ or - actions for the instances you removed until the total remaining instances is ≤ 50, and no plans to create instances beyond that count.