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GCP Threats
Flex Resource Scheduling Goal Should Be Set
More Info:
Ensure flex resource scheduling goal is set for dataflow jobs
Risk Level
Low
Address
Operational Maturity, Reliability
Compliance Standards
CBP
Triage and Remediation
Remediation
To remediate the “Flex Resource Scheduling Goal Should Be Set” misconfiguration in GCP using GCP console, follow the below steps:
- Log in to your GCP console.
- Navigate to the Cloud Scheduler page.
- Click on the “Create Job” button.
- In the “Job configuration” section, provide a name for the job.
- In the “Frequency” section, select the frequency at which the job should run.
- In the “Target” section, select the target for the job. This can be a Pub/Sub topic, HTTP target or App Engine HTTP target.
- In the “Payload” section, provide the payload for the target.
- In the “Advanced options” section, click on the “Add another setting” button.
- Select the “Flex” option from the drop-down list.
- In the “Flex” section, set the “min_instances” and “max_instances” values based on your requirements.
- Click on the “Create” button to create the job.
Once the job is created, it will automatically adjust the number of instances based on the workload, thereby optimizing the resource utilization.
The Flex Resource Scheduling Goal is a setting in Google Cloud Platform (GCP) that allows you to balance your usage and cost by automatically adjusting the number of virtual machines (VMs) running in a managed instance group (MIG) based on demand. Here are the steps to remediate this misconfiguration in GCP using the GCP CLI:
- Open your terminal and authenticate with your GCP account using the command:
gcloud auth login
- Set the default project that you want to work with:
gcloud config set project [PROJECT_ID]
- Check the status of the MIG for which you want to enable the Flex Resource Scheduling Goal using the command:
gcloud compute instance-groups managed describe [MIG_NAME] --region [REGION]
- If the Flex Resource Scheduling Goal is not set, enable it using the command:
gcloud compute instance-groups managed set-autoscaling [MIG_NAME] --region [REGION] --max-num-replicas [MAX_REPLICAS] --min-num-replicas [MIN_REPLICAS] --cool-down-period [COOL_DOWN_PERIOD] --update-stackdriver-metrics
Replace the placeholders with the following values:
- [MIG_NAME]: The name of the MIG for which you want to enable the Flex Resource Scheduling Goal.
- [REGION]: The region where the MIG is located.
- [MAX_REPLICAS]: The maximum number of VMs that can be running in the MIG.
- [MIN_REPLICAS]: The minimum number of VMs that should be running in the MIG.
- [COOL_DOWN_PERIOD]: The amount of time, in seconds, to wait before making further adjustments to the number of VMs running in the MIG.
- Verify that the Flex Resource Scheduling Goal has been enabled using the command:
gcloud compute instance-groups managed describe [MIG_NAME] --region [REGION]
You should see the following line in the output:
autoscalingPolicy:
coolDownPeriodSec: [COOL_DOWN_PERIOD]
maxNumReplicas: [MAX_REPLICAS]
minNumReplicas: [MIN_REPLICAS]
...
That’s it! You have successfully remediated the misconfiguration by enabling the Flex Resource Scheduling Goal for the MIG in GCP using the GCP CLI.
To remediate the “Flex Resource Scheduling Goal Should Be Set” misconfiguration in GCP using Python, you can follow these steps:
- Install the necessary libraries:
pip install google-cloud-resource-manager google-auth google-auth-oauthlib google-auth-httplib2
- Authenticate with GCP using service account credentials:
from google.oauth2 import service_account
from google.cloud import resource_manager
credentials = service_account.Credentials.from_service_account_file('path/to/service-account-key.json')
client = resource_manager.Client(credentials=credentials)
- Get the project for which you want to set the flex resource scheduling goal:
project_id = 'your-project-id'
project = client.fetch_project(project_id)
- Set the flex resource scheduling goal for the project:
from google.cloud.resourcemanager_v3.types import Project
project_labels = project.labels
if project_labels is None:
project_labels = {}
project_labels['flex-scheduling'] = 'true'
update_mask = {'paths': ['labels']}
updated_project = Project(name=project.name, labels=project_labels)
client.update_project(project=updated_project, update_mask=update_mask)
This code sets the “flex-scheduling” label to “true” for the project, which enables the flex resource scheduling goal. You can modify the label name and value as needed.
Note: This code requires the Google Cloud Resource Manager API to be enabled for your project.