Huawei CCI (Cloud Container Instance) service provides serverless container management, and does not require users to manage the cluster and the server. Only through simple configuration, users can enjoy the agility and high performance of the container. CCI supports stateless workloads (Deployment) and stateful workload (StatefulSet). On the basis of Kubernetes, we have made a series of important enhancements such as secure container, elastic load balancing, elastic scalability, Blue Green Deployment and so on.
Huawei CCI virtual kubelet provider configures a CCI project as node in any of your Kubernetes cluster, such as Huawei CCE (Cloud Container Engine). CCE supports native Kubernetes applications and tools as private cluster, allowing you to easily set up a container runtime environment. Pod which is scheduled to the virtual kubelet provider will run in the CCI, that will makes good use of the high performance of CCI. The diagram below illustrates how Huawei CCI virtual kubelet provider works.
NOTE: The Huawei CCI virtual-kubelet provider is in the early stages of development, and don't use it in a production environment.
You must install the provider in a Kubernetes cluster and connect to the CCI, and also need create an account for CCI. Once you've created your account, then need to record the aksk, region for the configuration in next step.
Before run CCI Virtual Kubelet Provider, you must do as the following steps.
- Create a configuration profile. You need to provide the fields you specify like in the example fils.
- Copy your AKSK and save them in environment variable:
export APP_KEY="<AppKey>"
export APP_SECRET="<AppSecret>"
On the Kubernetes work node, starting a virtual-kubelet process as follows.
virtual-kubelet --provider huawei --provider-config cci.toml
Then run kubectl get nodes
in your cluster to validate the provider has been running as a node.
kubectl get nodes
NAME STATUS AGE
virtual-kubelet Ready 5m
cce-192.168.0.178 Ready 10d
cce-192.168.0.233 Ready 10d
If want to stop the virtual kubelet, just stop the virtual kubelet process.
apiVersion: v1
kind: Pod
metadata:
name: myapp
labels:
app: myapp
spec:
nodeName: virtual-kubelet
containers:
- name: nginx
image: 1and1internet/ubuntu-16-nginx
imagePullPolicy: IfNotPresent
ports:
- containerPort: 8080
tolerations:
- key: huawei.com/cci
effect: NoSchedule
Replace the nodeName to the virtual-kubelet nodename and save the configuration to a file virtual-kubelet-pod.yaml
.
Then run kubectl create -f virtual-kubelet-pod.yaml
to create the pod. Run kubectl get pods -owide
to get pods.
kubectl get pods -o wide
NAME READY STATUS RESTARTS AGE IP NODE
myapp-7c7877989-vbffm 1/1 Running 0 39s 172.17.0.3 virtual-kubelet