1. Upload images, and import, tagging
2. Create a dashboard of deployment and service
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
# Keep the name in sync with image version and
# gce/coreos/kube-manifests/addons/dashboard counterparts
name: kubernetes-dashboard-latest
namespace: kube-system
spec:
replicas: 1
template:
metadata:
labels:
k8s-app: kubernetes-dashboard
version: latest
kubernetes.io/cluster-service: "true"
spec:
containers:
- name: kubernetes-dashboard
image: 10.0.0.11:5000/kubernetes-dashboard-amd64:v1.4.1
resources:
# keep request = limit to keep this container in guaranteed class
limits:
cpu: 100m
memory: 50Mi
requests:
cpu: 100m
memory: 50Mi
ports:
- containerPort: 9090
args:
- --apiserver-host=http://10.0.0.11:8080
livenessProbe:
httpGet:
path: /
port: 9090
initialDelaySeconds: 30
timeoutSeconds: 30
apiVersion: v1
kind: Service
metadata:
name: kubernetes-dashboard
namespace: kube-system
labels:
k8s-app: kubernetes-dashboard
kubernetes.io/cluster-service: "true"
spec:
selector:
k8s-app: kubernetes-dashboard
ports:
- port: 80
targetPort: 9090
3. accessed through http://10.0.0.11:8080/ui
4. Resource Type
daemon sets: each container to create one, especially suitable for monitoring the use of the resource type (stateless)
pet sets: stateful, or the like for the database
jobs: a disposable container for regular tasks
[root@k8s-master deamonset]# cat k8s_deamon.yml
apiVersion: extensions/v1beta1
kind: DaemonSet
metadata:
name: nginx
spec:
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: 10.0.0.11:5000/nginx:1.13
ports:
- containerPort: 80
resources:
limits:
cpu: 100m
requests:
cpu: 100m