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Add the cluster’s API as a new Type Provider in Deployment Manager, and use the new type to create the DaemonSet.

Use the Deployment Manager Runtime Configurator to create a new Config resource that contains the DaemonSet definition.

With Deployment Manager, create a Compute Engine instance with a startup script that uses kubectl to create the DaemonSet.

In the cluster’s definition in Deployment Manager, add a metadata that has kube-system as key and the DaemonSet manifest as value.

Store the database password inside the Docker image of the container, not in the YAML file.

Store the database password inside a Secret object. Modify the YAML file to populate the DB_PASSWORD environment variable from the Secret.

Store the database password inside a ConfigMap object. Modify the YAML file to populate the DB_PASSWORD environment variable from the ConfigMap.

Store the database password in a file inside a Kubernetes persistent volume, and use a persistent volume claim to mount the volume to the container.

Organize projects under folders for each department. Configure both organization policies and log sinks on the folders

Organize projects under folders for each department. Configure organization policies on the organization and log sinks on the folders.

Use a standard naming convention for projects that includes the department name. Configure organization policies on the organization and log sinks on the projects.

Use a standard naming convention for projects that includes the department name. Configure both organization policies and log sinks on the projects.

Use the Google Cloud Pricing Calculator to determine the cost of every Google Cloud resource you expect to use. Use similar size instances for the web server, and use your current on-premises machines as a comparison for Cloud SQL.

Implement a similar architecture on Google Cloud, and run a reasonable load test on a smaller scale. Check the billing information, and calculate the estimated costs based on the real load your system usually handles.

Use the Google Cloud Pricing Calculator and select the Cloud Operations template to define your web application with as much detail as possible.

Create a Google spreadsheet with multiple Google Cloud resource combinations. On a separate sheet, import the current Google Cloud prices and use these prices for the calculations within formulas.

Meet with the cloud enablement team to discuss load balancer options.

Redesign the application to use a distributed user session service that does not rely on WebSockets and HTTP sessions.

Review the encryption requirements for WebSocket connections with the security team.

Convert the WebSocket code to use HTTP streaming.

Create an HTTP load balancer with a backend configuration that references an existing instance group. Set the health check to healthy (HTTP).

Create an HTTP load balancer with a backend configuration that references an existing instance group. Define a balancing mode and set the maximum RPS to 10.

Create a managed instance group. Set the Autohealing health check to healthy (HTTP).

Create a managed instance group. Verify that the autoscaling setting is on.

Enable the Cloud Pub/Sub API in the API Library on the GCP Console.

Rely on the automatic enablement of the Cloud Pub/Sub API when the Service Account accesses it.

Use Deployment Manager to deploy your application. Rely on the automatic enablement of all APIs used by the application being deployed.

Grant the App Engine Default service account the role of Cloud Pub/Sub Admin. Have your application enable the API on the first connection to Cloud Pub/Sub.

Verify that you are the project billing administrator. Select the associated billing account and create a budget and alert for the appropriate project.

Verify that you are the project billing administrator. Select the associated billing account and create a budget and a custom alert.

Verify that you are the project administrator. Select the associated billing account and create a budget for the appropriate project.

Verify that you are project administrator. Select the associated billing account and create a budget and a custom alert.

Disable the flag “Delete boot disk when instance is deleted.”

Enable delete protection on the instance.

Disable Automatic restart on the instance.

Enable Preemptibility on the instance.

Deploy the application lo Cloud. Run. Use gradual rollouts for traffic splitting .

Deploy the application lo Google Kubemetes Engine. Use Anthos Service Mesh for traffic splitting.

Deploy the application to Cloud functions. Saucily the version number in the functions name.

Deploy the application to App Engine. For each new version, create a new service.