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docs/content/setup/ctd.md
2020-05-27 22:34:08 -07:00

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Set Up a Compute-to-Data enviroment Set Up a Compute-to-Data enviroment.

Requirments

At the time of writing, we need the following:

Customize your Operator Service deployment

The following resources needs attention:

- postgres-configmap.yaml  - contains secrets for the postgresql deployment
- deployment.yaml - ALGO_POD_TIMEOUT = Allowed time for a algorithm to run. If it exceeded this value (in minutes), it's going to get killed

Customize your Operator Engine deployment

The following resource needs attention:

  • operator.yaml - contains configuration variabiles
    • ACCOUNT_JSON , ACCOUNT_PASSWORD = Defines the account that is going to be used when publishing results back to OceanProtocol
    • AWS_ACCESS_KEY_ID, AWS_ACCESS_KEY_ID , AWS_REGION = S3 credidentials for the logs and output buckets
    • AWS_BUCKET_OUTPUT = Bucket that will hold the output data (algorithm logs & algorithm output)
    • AWS_BUCKET_ADMINLOGS = Bucket that will hold the admin logs (logs from pod-configure & pod-publish)
    • STORAGE_CLASS = Storage class to use (see next section)

Storage class

For minikube, you can use 'standard' class.

For AWS , please make sure that your class allocates volumes in the same region and zone in which you are running your pods.

We created our own 'standard' class in AWS:

kubectl get storageclass standard -o yaml

allowedTopologies:
- matchLabelExpressions:
    - key: failure-domain.beta.kubernetes.io/zone
      values:
      - us-east-1a
apiVersion: storage.k8s.io/v1
kind: StorageClass
parameters:
    fsType: ext4
    type: gp2
provisioner: kubernetes.io/aws-ebs
reclaimPolicy: Delete
volumeBindingMode: Immediate

Or we can use this for minikube:

apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
    name: standard
provisioner: docker.io/hostpath
reclaimPolicy: Retain

Create namespaces

kubectl create ns ocean-operator
kubectl create ns ocean-compute

Deploy Operator-Service

kubectl config set-context --current --namespace ocean-operator
kubectl create -f /ocean/operator-service/postgres-configmap.yaml
kubectl create -f /ocean/operator-service/postgres-storage.yaml
kubectl create -f /ocean/operator-service/postgres-deployment.yaml
kubectl create -f /ocean/operator-service/postgresql-service.yaml
kubectl apply -f /ocean/operator-service/deployment.yaml
kubectl apply -f /ocean/operator-service/role_binding.yaml
kubectl apply -f /ocean/operator-service/service_account.yaml

Deploy Operator-Engine

kubectl config set-context --current --namespace ocean-compute
kubectl apply -f /ocean/operator-engine/sa.yml
kubectl apply -f /ocean/operator-engine/binding.yml
kubectl apply -f /ocean/operator-engine/operator.yml
kubectl apply -f /ocean/operator-engine/computejob-crd.yaml
kubectl apply -f /ocean/operator-engine/workflow-crd.yaml
kubectl create -f /ocean/operator-service/postgres-configmap.yaml

Expose Operator - Service

kubectl expose deployment operator-api --namespace=ocean-operator --port=8050

Run a port forward or create your ingress service (not covered here):

kubectl -n ocean-operator port-forward svc/operator-api 8050

Initialize database

If your cluster is running on example.com:

curl -X POST "http://example.com:8050/api/v1/operator/pgsqlinit" -H  "accept: application/json"

Update Brizo

Update Brizo by adding or updating the OPERATOR_SERVICE_URL env (in /ocean/barge/compose-files/brizo.yaml)

OPERATOR_SERVICE_URL: http://example.com:8050/

Restart Barge with updated Brizo configuration