1. Log in to your GCP console.
2. Navigate to the Cloud Scheduler page.
3. Click on the “Create Job” button.
4. In the “Job configuration” section, provide a name for the job.
5. In the “Frequency” section, select the frequency at which the job should run.
6. In the “Target” section, select the target for the job. This can be a Pub/Sub topic, HTTP target or App Engine HTTP target.
7. In the “Payload” section, provide the payload for the target.
8. In the “Advanced options” section, click on the “Add another setting” button.
9. Select the “Flex” option from the drop-down list.
10. In the “Flex” section, set the “min_instances” and “max_instances” values based on your requirements.
11. Click on the “Create” button to create the job.

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1. Open your terminal and authenticate with your GCP account using the command:

gcloud auth login

2. Set the default project that you want to work with:

gcloud config set project [PROJECT_ID]

3. 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]

4. 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

• [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.

5. Verify that the Flex Resource Scheduling Goal has been enabled using the command:

gcloud compute instance-groups managed describe [MIG_NAME] --region [REGION]

autoscalingPolicy:
  coolDownPeriodSec: [COOL_DOWN_PERIOD]
  maxNumReplicas: [MAX_REPLICAS]
  minNumReplicas: [MIN_REPLICAS]
  ...

1. Install the necessary libraries:

pip install google-cloud-resource-manager google-auth google-auth-oauthlib google-auth-httplib2

2. 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)

3. 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)

4. 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)