A Custom Resource Definition for provisioning AWS RDS databases.

State: BETA - use with caution

The node running the pod should have an instance profile that allows creation and deletion of RDS databases and Subnets.

The codes will search for the first node, and take the subnets from that node. And depending on wether or not your DB should be public, then filter them on that. If any subnets left it will attach the DB to that.

go build

You can start the the controller by applying kubectl apply -f deploy/deployment.yaml

When the controller is running in the cluster you can deploy/create a new database by running kubectl apply on the following file.

apiVersion: v1
kind: Secret
metadata:
  name: mysecret
type: Opaque
data:
  mykey: cGFzc3dvcmRvcnNvbWV0aGluZw==
---
apiVersion: k8s.io/v1
kind: Database
metadata:
  name: pgsql
  namespace: default
spec:
  class: db.t2.medium # type of the db instance
  engine: postgres # what engine to use postgres, mysql, aurora-postgresql etc.
  dbname: pgsql # name of the initial created database
  name: pgsql # name of the database at the provider
  password: # link to database secret
    key: mykey # the key in the secret
    name: mysecret # the name of the secret
  username: postgres # Database username
  size: 10 # size in BG
  backupretentionperiod: 10 # days to keep backup, 0 means diable
  encrypted: true # should the database be encrypted
  iops: 1000 # number of iops
  multiaz: true # multi AZ support
  storagetype: gp2 # type of the underlying storage
 

After the deploy is done you should be able to see your database via kubectl get databases

NAME         AGE
test-pgsql   11h

And on the AWS RDS page

• Basic RDS support

• Cluster support

• Google Cloud SQL for PostgreSQL support

• Local PostgreSQL support