Setup Kubernetes Cluster

How to setup a Kubernetes Cluster to use it with Databand.

You must have a running Kubernetes cluster (local Minikube, or production cluster).

The code running inside the pod needs credentials and connection strings to access DBND and Airflow, so you must define the secrets.

To create the required databand-secrets secrets, run the following command:

kubectl create secret generic databand-secret \
--from-literal=airflow_fernet_key=AIRFLOW_FERNET_KEY \
--from-literal=airflow_sql_alchemy_conn=AIRFLOW_SQL_ALCHEMY_CONN \
sql_alchemy_conn is the connection string to the database
fernet_key is the encryption key for Airflow
databand_url is the Url of the Databand webserver

fernet_key and sql_alchemy_conn are Airflow connections accessible from the pod
databand_url is Databand URL , accessible from the cluster

Make sure that settings specified in your dbnd and airflow configuration match the databand-secrets inside the cluster.

For the example above you should have following definition at your Kubernetes Engine Configuration

[kubernetes_engine] # make sure it's your engine name

secrets = [
   { "type":"env", "target": "AIRFLOW__CORE__SQL_ALCHEMY_CONN", "secret" : "databand-secret", "key": "airflow_sql_alchemy_conn"},
   { "type":"env", "target": "AIRFLOW__CORE__FERNET_KEY", "secret" : "databand-secret", "key": "airflow_fernet_key"},
   { "type":"env", "target": "DBND__CORE__DATABAND_URL", "secret" : "databand-secret", "key": "databand_url"}


Kubernetes commands to manage secrets

kubectl get secret databand-secrets
kubectl edit secret databand-secrets
kubectl delete secret databand-secrets

Image pulling

For remote repositories, you must supply the cluster with an image pulling secrets to ensure the Docker inside the pod has access to the repository. You can configure pull-secret at Kubernetes Engine Configuration

See this article for further documentation about image pull secrets.

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