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We do not intend to make any changes to the existing kubernetes API in order to implement the specifications described in this document. We will simply be extending the Kubernetes API using Custom Resource Definition as described here and then creating a custom controller that will handle the requirements of our provisioning Agent custom resource. 

Overview of Proposed Workflow   

Prerequisites: This workflow assumes that the baremetal CR and  baremetal operator have been created and has successfully installed the compute nodes with Linux OS. It also assumes that the BPA controller is running.

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Fig 1: Illustration of the proposed workflow

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      Workflow Summary/Description

1. Create BPA CRD (Created only once and just creates the BPA resource kind)
2. Create the BPA Custom Resource
3. The BPA Operator continues to watch the k8s API server and once it sees that a new BPA CR object has been created, it queries the k8s API server for the Baremetal hosts lists. The baremetal hosts lists contains information about the compute nodes provisioned including the IP address, CPU, memory..etc of each host.
4. The BPA operator looks into the baremetal hosts list returned and decides on the roles of the compute nodes based on the CPU and memory (Other features may be added as we proceed). The resource requirements for master and worker nodes are defined in the BPA CR object.
5. The BPA operator then creates the hosts.ini file using the assigned roles and their corresponding IP addresses.
6. The BPA operator then installs kubernetes using kubespray on the compute nodes thus creating an active kubernetes cluster. During installation, it would continue to check the status of the installation
7. On successful completion of the k8s cluster installation, the BPA operator would  save the application-k8s kubeconfig file in order to access the k8s cluster and make changes such as software updates or add a worker node for future purposes.

• BPA CRD

The BPA CRD tells the Kubernetes API how to expose the provisioning custom resource object. The CRD yaml file is applied using 

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