kubevela.github.io/docs/application.md

title
Application CRD

This documentation will walk through how to use Application object to define your apps with corresponding operational behaviors in declarative approach.

Example

The sample application below claimed a backend component with Worker workload type, and a frontend component with Web Service workload type.

Moreover, the frontend component claimed sidecar and autoscaler traits which means the workload will be automatically injected with a fluentd sidecar and scale from 1-100 replicas triggered by CPU usage.

apiVersion: core.oam.dev/v1beta1
kind: Application
metadata:
  name: website
spec:
  components:
    - name: backend
      type: worker
      properties:
        image: busybox
        cmd:
          - sleep
          - '1000'
    - name: frontend
      type: webservice
      properties:
        image: nginx
      traits:
        - type: autoscaler
          properties:
            min: 1
            max: 10
            cpuPercent: 60
        - type: sidecar
          properties:
            name: "sidecar-test"
            image: "fluentd"

The type: worker means the specification of this component (claimed in following properties section) will be enforced by a ComponentDefinition object named worker as below:

apiVersion: core.oam.dev/v1beta1
kind: ComponentDefinition
metadata:
  name: worker
  annotations:
    definition.oam.dev/description: "Describes long-running, scalable, containerized services that running at backend. They do NOT have network endpoint to receive external network traffic."
spec:
  workload:
    definition:
      apiVersion: apps/v1
      kind: Deployment
  schematic:
    cue:
      template: |
        output: {
        	apiVersion: "apps/v1"
        	kind:       "Deployment"
        	spec: {
        		selector: matchLabels: {
        			"app.oam.dev/component": context.name
        		}
        		template: {
        			metadata: labels: {
        				"app.oam.dev/component": context.name
        			}
        			spec: {
        				containers: [{
        					name:  context.name
        					image: parameter.image

        					if parameter["cmd"] != _|_ {
        						command: parameter.cmd
        					}
        				}]
        			}
        		}
        	}
        }
        parameter: {
        	image: string
        	cmd?: [...string]
        }        

Hence, the properties section of backend only supports two parameters: image and cmd, this is enforced by the parameter list of the .spec.template field of the definition.

The similar extensible abstraction mechanism also applies to traits. For example, type: autoscaler in frontend means its trait specification (i.e. properties section) will be enforced by a TraitDefinition object named autoscaler as below:

apiVersion: core.oam.dev/v1beta1
kind: TraitDefinition
metadata:
  annotations:
    definition.oam.dev/description: "configure k8s HPA for Deployment"
  name: hpa
spec:
  appliesToWorkloads:
    - webservice
    - worker
  schematic:
    cue:
      template: |
        outputs: hpa: {
        	apiVersion: "autoscaling/v2beta2"
        	kind:       "HorizontalPodAutoscaler"
        	metadata: name: context.name
        	spec: {
        		scaleTargetRef: {
        			apiVersion: "apps/v1"
        			kind:       "Deployment"
        			name:       context.name
        		}
        		minReplicas: parameter.min
        		maxReplicas: parameter.max
        		metrics: [{
        			type: "Resource"
        			resource: {
        				name: "cpu"
        				target: {
        					type:               "Utilization"
        					averageUtilization: parameter.cpuUtil
        				}
        			}
        		}]
        	}
        }
        parameter: {
        	min:     *1 | int
        	max:     *10 | int
        	cpuUtil: *50 | int
        }        

The application also have a sidecar trait.

apiVersion: core.oam.dev/v1beta1
kind: TraitDefinition
metadata:
  annotations:
    definition.oam.dev/description: "add sidecar to the app"
  name: sidecar
spec:
  appliesToWorkloads:
    - webservice
    - worker
  schematic:
    cue:
      template: |-
        patch: {
           // +patchKey=name
           spec: template: spec: containers: [parameter]
        }
        parameter: {
           name: string
           image: string
           command?: [...string]
        }        

All the definition objects are expected to be defined and installed by platform team. The end users will only focus on Application resource.

Conventions and "Standard Contract"

After the Application resource is applied to Kubernetes cluster, the KubeVela runtime will generate and manage the underlying resources instances following below "standard contract" and conventions.

Label	Description
workload.oam.dev/type=<component definition name>	The name of its corresponding ComponentDefinition
trait.oam.dev/type=<trait definition name>	The name of its corresponding TraitDefinition
app.oam.dev/name=<app name>	The name of the application it belongs to
app.oam.dev/component=<component name>	The name of the component it belongs to
trait.oam.dev/resource=<name of trait resource instance>	The name of trait resource instance
app.oam.dev/appRevision=<name of app revision>	The name of the application revision it belongs to

Run Application

Apply application yaml above, then you'll get the application started

$ kubectl get application -o yaml
apiVersion: core.oam.dev/v1beta1
kind: Application
metadata:
 name: website
....
status:
  components:
  - apiVersion: core.oam.dev/v1alpha2
    kind: Component
    name: backend
  - apiVersion: core.oam.dev/v1alpha2
    kind: Component
    name: frontend
....
  status: running

You could see a Deployment named frontend with a container fluentd injected is running.

$ kubectl get deploy frontend
NAME       READY   UP-TO-DATE   AVAILABLE   AGE
frontend   1/1     1            1           100m

Another Deployment is also running named backend.

$ kubectl get deploy backend
NAME      READY   UP-TO-DATE   AVAILABLE   AGE
backend   1/1     1            1           100m

An HPA was also created by the autoscaler trait.

$ kubectl get HorizontalPodAutoscaler frontend
NAME       REFERENCE             TARGETS         MINPODS   MAXPODS   REPLICAS   AGE
frontend   Deployment/frontend   <unknown>/50%   1         10        1          101m