Triage and Remediation
Remediation
Using Console
Using Console
To remediate the Autoscaling Profile for Clusters misconfiguration in GCP using GCP console, follow these steps:
- Open the GCP console and navigate to the Kubernetes Engine page.
- Select the cluster that you want to remediate.
- Click on “Edit” button at the top of the page.
- In the “Node pools” section, click on the name of the node pool that you want to remediate.
- Scroll down to the “Autoscaling” section and click on “Edit”.
- In the “Autoscaling mode” section, select either “Optimize utilization” or “Balanced” depending on your requirements.
- Click on “Save” to apply the changes.
Using CLI
Using CLI
To remediate the misconfiguration “Autoscaling Profile For Clusters Should Be Set To Optimize_Utilization or Balanced” for GCP using GCP CLI, you can follow the below steps:Step 1: Open the Cloud Shell in your GCP console.Step 2: Run the following command to list all the existing node pool configurations in the cluster:Step 3: Choose the node pool for which you want to set the autoscaling profile.Step 4: Run the following command to set the autoscaling profile to “optimize-utilization”:ORRun the following command to set the autoscaling profile to “balanced”:Note: Replace This should return either “optimize-utilization” or “balanced” depending on which profile you chose to set.By following these steps, you can remediate the misconfiguration “Autoscaling Profile For Clusters Should Be Set To Optimize_Utilization or Balanced” for GCP using GCP CLI.
<cluster-name> and <node-pool-name> with the actual names of your cluster and node pool respectively.Step 5: Verify that the autoscaling profile has been set correctly by running the following command:Using Python
Using Python
To remediate the misconfiguration “Autoscaling Profile For Clusters Should Be Set To Optimize_Utilization or Balanced” in GCP, you can follow the below steps using Python:This will update the autoscaling configuration for the specified GCP cluster with the desired profile.
- Import the required libraries:
- Set the project ID, region, and cluster name:
- Create a client object:
- Get the current cluster configuration:
- Update the autoscaling configuration with the desired profile:
- Update the cluster configuration: