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pokearu authored Sep 8, 2022
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# Rufio
## Who is Rufio?
Besides being the leader of the Lost Boys after Peter Pan left Neverland, Rufio is a kubernetes controller for managing baseboard management controllers (BMC) in a Tinkerbell context. Rufio can also execute jobs to perform a set of one-off management actions to bring a machine (physical hardware) to a desired state.
## Architecture
![architecture](puml/architecture.png)
Rufio controller consists of three main API types, [Machine](https://github.com/tinkerbell/rufio/blob/main/api/v1alpha1/machine.go), [Job](https://github.com/tinkerbell/rufio/blob/main/api/v1alpha1/job.go) and [Task](https://github.com/tinkerbell/rufio/blob/main/api/v1alpha1/task.go). An operator or an automated client like [CAPT](https://github.com/tinkerbell/cluster-api-provider-tinkerbell) can interact with Rufio using these APIs to manage the state of their physical machines.
### Machine API
The Machine type contains the information required for communicating with the BMC of the physical hardware.
```yaml
apiVersion: bmc.tinkerbell.org/v1alpha1
kind: Machine
metadata:
name: machine-sample
spec:
connection:
host: 0.0.0.0
port: 623
authSecretRef:
name: bm-auth
namespace: sample
insecureTLS: false
```
The `connection` object contains the required fields for establising a BMC connection. Fields `host`, `port` represent the BMC IP for the physical machine and `insecureTLS` instructs weather to use insecure TLS connectivity for performing BMC API calls. Field `authSecretRef` is a `SecretReference` which points to a kubernetes secret that contains the username/password for authenticating BMC API calls.
### Machine controller
When a Machine object is created on the cluster, the machine controller is responsible for updating the current state of the physical machine. It performs API calls to the BMC of the physical machine and updates the `status` of the Machine object.
### Job API
The Job type is used to define a set of one-off operations/actions to be performed on a physical machine. These actions are performed utilizing BMC API calls.
```yaml
apiVersion: bmc.tinkerbell.org/v1alpha1
kind: Job
metadata:
name: job-sample
spec:
machineRef:
name: machine-sample
namespace: sample
tasks:
- powerAction: "off"
- oneTimeBootDeviceAction:
device:
- "pxe"
efiBoot: false
- powerAction: "on"
```
The `machineRef` points to the Machine object on the cluster, for which the job is executed. The `tasks` list is a set of ordered actions to be performed on the machine.
> Note: A single task can only perform one type of action. For example either PowerAction or OneTimeBootDeviceAction.
### Job Controller
The job controller watches for Job objects on the cluster. Once a new job object is created, it immediately sets the job condition to `Running` and creates a `Task` object on the cluster for the first item in the tasks list.

The job controller also watches for changes in `Task` objects which have an ownerRef pointing to a Job. Once a Task object status is updated, the job controller checks the conditions on the Task and either marks the Job as Completed/Failed or proceeds to create the next Task object.
### Task API
The task type represents a single one-off action performed against a BMC of a physical machine.
```yaml
apiVersion: bmc.tinkerbell.org/v1alpha1
kind: Task
metadata:
name: task-sample
spec:
task:
powerAction: "on"
```
### Task controller
The Task controller watches for Task objects on the cluster. When a new Task is created, the controller executes the corresponding action. Once the action is completed, the controller reconciles to check for the state of the physical machine. This ensures the action was completed successdully and marks the `status` as `Completed/Failed` accordingly.
## Getting Started
For running Rufio, we require a k8s cluster that has access to the BMC network of the physical machines.

For the purpose of this tutorial, lets create a [kind](https://kind.sigs.k8s.io/) cluster.
```bash
kind create cluster
```
Once the cluster is created, we can run the make target to generate a manifest to apply the CRDs and controller deployment.
```bash
make release-manifests
```
The manifest gets generated under `./out/release/manifest.yaml`, we can then apply the manifest to the cluster.
```bash
kubectl apply -f ./out/release/manifest.yaml
```
We can now see the Rufio controller pod running on the cluster under the `rufio-system` namespace.
```bash
kubectl get po -n rufio-system
NAME READY STATUS RESTARTS AGE
rufio-controller-manager-6c96d86cf5-kbvdj 1/1 Running 0 5s
```
We can now interact with Rufio using its API. Before creating a Mahine object, we need to create a k8s Secret that contains the BMC user credentials for the physical machine. An example Secret,
```yaml
apiVersion: v1
kind: Secret
metadata:
name: bm-auth
namespace: sample
data:
username: cm9vdA==
password: cm9vdA==
type: kubernetes.io/basic-auth
```
Now we can modify the sample [yaml](https://github.com/tinkerbell/rufio/blob/main/config/samples/bmc_v1alpha1_machine.yaml) with the relavent connetion values and create a Machine object.
```bash
kubectl apply -f ./config/samples/bmc_v1alpha1_machine.yaml
```
We can obsesrve the status of the Machine object gets updated with current state of the physical machine.
```bash
kubectl get machines -o=jsonpath='{.items[0].status}'
```
```json
{
"conditions": [
{
"lastUpdateTime": "2022-08-31T20:01:35Z",
"status": "True",
"type": "Contactable"
}
],
"powerState": "on"
}
```
Finally, we can create a Job with a few actions,
```bash
kubectl apply -f ./config/samples/bmc_v1alpha1_job.yaml
kubectl get jobs.bmc.tinkerbell.org
NAMESPACE NAME AGE
default job-sample 5s
```
We can also observe that that Task objects were created for each individual task listed on the Job.
```bash
kubectl get tasks.bmc.tinkerbell.org -A
NAMESPACE NAME AGE
default job-sample-task-0 8s
default job-sample-task-1 5s
default job-sample-task-2 3s
```

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