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Create a Datum Workload backed by Google Cloud

Before you begin

This tutorial assumes you have already:

Discover Available Datum Cloud Projects

Use kubectl get projects to list your Datum Cloud Projects. Select a DATUM_PROJECT_NAME to be used in this tutorial.

Discover Available Google Cloud Projects

Ensure your gcloud CLI has authenticated to Google Cloud.

Use gcloud list projects to obtain a list of GCP_PROJECT_IDs. Select the GCP_PROJECT_ID to be used with this tutorial.

Grant Datum Cloud access to your GCP Project

Datum requires the following roles to be granted to a Datum managed service account which is specific to each Datum project:

roles/compute.admin
roles/secretmanager.admin
roles/iam.serviceAccountAdmin
roles/iam.serviceAccountUser

The service account email will be in the following format:

DATUM_PROJECT_NAME@datum-cloud-project.iam.gserviceaccount.com

Use the gcloud tool to grant IAM Roles to your Datum service account, replacing GCP_PROJECT_ID and DATUM_PROJECT_NAME with their respective values:

gcloud projects add-iam-policy-binding GCP_PROJECT_ID \
  --member="serviceAccount:DATUM_PROJECT_NAME@datum-cloud-project.iam.gserviceaccount.com" \
  --role="roles/compute.admin"

gcloud projects add-iam-policy-binding GCP_PROJECT_ID \
  --member="serviceAccount:DATUM_PROJECT_NAME@datum-cloud-project.iam.gserviceaccount.com" \
  --role="roles/secretmanager.admin"

gcloud projects add-iam-policy-binding GCP_PROJECT_ID \
  --member="serviceAccount:DATUM_PROJECT_NAME@datum-cloud-project.iam.gserviceaccount.com" \
  --role="roles/iam.serviceAccountAdmin"

gcloud projects add-iam-policy-binding GCP_PROJECT_ID \
  --member="serviceAccount:DATUM_PROJECT_NAME@datum-cloud-project.iam.gserviceaccount.com" \
  --role="roles/iam.serviceAccountUser"

For guidance on granting roles via Google’s Console, see Manage access to projects, folders, and organizations.

Note

You may encounter the following error if your GCP organization was created on or after May 3, 2024. See GCP’s documentation on restricting identities by domain for instructions on how to permit service accounts from the datum-cloud-project project.

The ‘Domain Restricted Sharing’ organization policy (constraints/iam.allowedPolicyMemberDomains) is enforced. Only principals in allowed domains can be added as principals in the policy. Correct the principal emails and try again. Learn more about domain restricted sharing.
Request ID: 8499485408857027732

Register a Datum Managed Location

Before creating a workload, a Location must be registered.

Use the following example manifest to create a location which Datum’s control plane will be responsible for managing, replacing GCP_PROJECT_ID with your GCP project id:

apiVersion: networking.datumapis.com/v1alpha
kind: Location
metadata:
  name: my-gcp-us-south1-a
spec:
  locationClassName: datum-managed
  topology:
    topology.datum.net/city-code: DFW
  provider:
    gcp:
      projectId: GCP_PROJECT_ID
      region: us-south1
      zone: us-south1-a

Replace topology.datum.net/city-code’s value (DFW) with the desired city code for your workloads.
Update the gcp provider settings to reflect your GCP project ID, desired region, and zone.

Apply the manifest:

kubectl apply -f <path-to-location-manifest>

List Locations:

kubectl get locations

NAME                 AGE
my-gcp-us-south1-a   5s

Create a Network

Before creating a workload, a Network must be created. You can use the following manifest to do this:

Note

In the future, a default network may automatically be created in a namespace.

apiVersion: networking.datumapis.com/v1alpha
kind: Network
metadata:
  name: default
spec:
  ipam:
    mode: Auto

Apply the manifest:

kubectl apply -f <path-to-network-manifest>

List Networks:

kubectl get networks

NAME      AGE
default   5s

Create a Workload

Caution

These actions will result in billable resources being created in the GCP project for the target location. Destroy any resources which are not needed to avoid unnecessary costs.

Create a manifest for a sandbox based workload, for example:

apiVersion: compute.datumapis.com/v1alpha
kind: Workload
metadata:
  name: my-container-workload
spec:
  template:
    spec:
      runtime:
        resources:
          instanceType: datumcloud/d1-standard-2
        sandbox:
          containers:
            - name: httpbin
              image: mccutchen/go-httpbin
              ports:
                - name: http
                  port: 8080
      networkInterfaces:
        - network:
            name: default
          networkPolicy:
            ingress:
              - ports:
                - port: 8080
                from:
                  - ipBlock:
                      cidr: 0.0.0.0/0
  placements:
    - name: us
      cityCodes: ['DFW']
      scaleSettings:
        minReplicas: 1

Apply the manifest:

kubectl apply -f <path-to-workload-manifest>

Check the state of the workload

kubectl get workloads

The output is similar to:

NAME                    AGE   AVAILABLE   REASON
my-container-workload   9s    False       NoAvailablePlacements

The REASON field will be updated as the system progresses with attempting to satisfy the workload’s intent.

Check Workload Deployments

A Workload will result in one or more WorkloadDeployments being created, one for each unique CityCode per placement.

kubectl get workloaddeployments

The output is similar to:

NAME                           AGE   LOCATION NAMESPCE   LOCATION NAME        AVAILABLE   REASON
my-container-workload-us-dfw   58s   default             my-gcp-us-south1-a   False       LocationAssigned

Similar to workloads, the REASON field will be updated as the system progresses with attempting to satisfy the workload’s intent. In this case, the infra-provider-gcp operator is responsible for these actions.

Check Instances

kubectl -n default get instances -o wide

The output is similar to:

NAME                             AGE   AVAILABLE   REASON              NETWORK IP   EXTERNAL IP
my-container-workload-us-dfw-0   24s   True        InstanceIsRunning   10.128.0.2   34.174.154.114

Confirm that the go-httpbin application is running:

curl -s http://34.174.154.114:8080/uuid

{
  "uuid": "8244205b-403e-4472-8b91-728245e99029"
}

Delete the workload

Delete the workload when testing is complete:

kubectl delete workload my-container-workload