instructions

This article uses simple examples to get beginners quickly into the world of Docker, Kubernetes (K8S) containers. Assuming that you already have a K8S cluster, otherwise you can quickly set up an experimental environment using Minikube or MiniShift.

Docker

DockerwithK8S

Docker is essentially a virtualization technology similar to KVM, Xen, and VMware, but it is lighter and relies on Linux Container Technology (LXC) when Docker is deployed in a Linux environment. One difference between Docker and traditional KVM and other virtualization technologies is that Docker has no kernel, that is, multiple Docker virtual machines share the host kernel. In short, Docker can be regarded as a virtual machine without kernel. Each Docker virtual machine has its own software environment and is independent of each other.

The relationship between K8S and Docker is what OpenStack is to KVM and vSphere is to VMware. K8S is a container cluster management system. Docker technology can be used for the virtualization of the underlying container. The application personnel do not need to directly deal with the underlying Docker nodes, but can be managed through K8S overall management.

Dockerbasis

–name test-docker busybox /bin/sh/docker busybox /bin/sh/docker busybox /bin/sh/docker busybox /bin/sh/docker busybox IO official image library (Registry) and save to the local, and then build a virtual machine named Test-Docker based on the image, whose official Docker terminology is named Container.

# docker run -it --name test-docker busybox /bin/sh
Unable to find image 'busybox:latest' locally
Trying to pull repository docker.io/library/busybox ... 
latest: Pulling from docker.io/library/busybox
f70adabe43c0: Pull complete 
Digest: sha256:186694df7e479d2b8bf075d9e1b1d7a884c6de60470006d572350573bfa6dcd2
/ #

Docker is lighter than traditional KVM and VMware virtual machines. As shown below, the test-docker container does not run any additional system or kernel processes. It only runs the /bin/sh process provided by the Docker run command:

/ # ps -ef
PID   USER     TIME  COMMAND
    1 root      0:00 /bin/sh
    7 root      0:00 ps -ef

If you create a virtual machine in OpenStack, you first need to store the virtual machine image in the Glance image library, then you can select the image to create the virtual machine. Docker is the same, and officially provides a shared Image Registry, in which all kinds of images are stored. If this example creates a container with the BusyBox image, and its image is pulled to the local area, you can execute the following command to check that it is only about 1MB, which is quite lightweight.

# docker images | grep busybox docker. IO/busybox latest eight ac48589692a five weekes line 1.146 MB

Through this section, we have learned three basic elements of Docker: Image is stored in the Image repository, which contains the software environment needed for the program to run. When the Container is deployed, the Image is pulled to the Doker host through the network.

Kubernetes

K8S is Google’s open source container cluster management system, which is derived from Google’s internal management system Borg. The following will lead beginners to get familiar with K8S cluster through a simple and coherent example.

Pod

K8s takes POD as the minimum unit to schedule and manage Docker containers, in which a Pod can contain multiple containers, and the containers in the same Pod share the local network, and the containers can be visited each other through the localhost address, that is, the containers are deployed on the same host. The scheduling with POD as the minimum unit indicates that the containers in POD are scheduled to the same Docker node.

As shown below, create a POD named myHttp that contains a container named myHttp deployed using the HTTPD image:

# cat > /tmp/myhttpd.pod <<EOF
apiVersion: v1
kind: Pod
metadata:
  name: myhttp
  labels:
    app: myhttp
spec:
  containers:
  - name: myhttp
    image: httpd
EOF
% kubectl create -f /tmp/myhttpd.pod

Execute the kubectl get pod command to see that pod runs successfully, and then verify that the container can provide web services:

# kubectl get pod NAME READY STATUS RESTARTS AGE myhttp 1/1 Running 0 1h # kubectl describe pod myhttp|grep IP IP: 10.109.0.232 # curl 10.109.0.232 < HTML ><body><h1>It works! </h1></body></html>

Deployment

It is rare to deploy an application directly in the form of POD. The main reasons are: POD cannot provide elastic scaling, and K8S cannot dispatch it to the surviving node in case of node failure, and it lacks self-healing ability. For this reason, applications often use “RC/Deployment” deployments, and in the new version of K8S, it is officially recommended to use Deployment instead of RC Deployment Stateless applications.

After executing kubectl delete pod myhttp to delete pod, switch to Deployment:

# cat > myhttp.yaml <<EOF 
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  labels:
    app: myhttp
  name: myhttp
spec:
  replicas: 1
  selector:
    matchLabels:
      app: myhttp
  template:
    metadata:
      labels:
        app: myhttp
    spec:
      containers:
      - image: httpd
        name: myhttp
EOF
# kubectl create -f /tmp/myhttp.yaml

The.spec.replicas in Deployment indicates how many PODs are deployed, as in this example there is currently only one POD:

# kubectl get deploy,pod
NAME            DESIRED   CURRENT   UP-TO-DATE   AVAILABLE   AGE
deploy/myhttp   1         1         1            1           2m

NAME                         READY     STATUS    RESTARTS   AGE
po/myhttp-7bc6d8b87c-gzlkq   1/1       Running   0          2m

After executing kubectl delete pod to delete the pod, you can see that Deployment will automatically rebuild the pod, which will ensure that it has a.spec.replicas number of pods, meaning that the Deployment has self-healing properties in the event of a pod anomaly.

# kubectl delete pod myhttp-7bc6d8b87c-gzlkq # kubectl get pod -w NAME READY STATUS RESTARTS AGE myhttp-7bc6d8b87c-dhmtz  0/1 ContainerCreating 0 2s myhttp-7bc6d8b87c-dhmtz 1/1 Running 0 8s myhttp-7bc6d8b87c-gzlkq 1/1 Terminating 0 8m

When you need to scale or scale your application, you need to delete or create PODs if you deploy them as PODs, and if you deploy them as Deployment, you just need to adjust.spec.replicas, and then the K8S mirror controller automatically adjusts the number of PODs. As shown below, extend HTTP application for 2 services:

# kubectl scale deploy/myhttp --replicas=2

# kubectl get pod -w
NAME                      READY     STATUS              RESTARTS   AGE
myhttp-7bc6d8b87c-cj4g8   0/1       ContainerCreating   0          3s
myhttp-7bc6d8b87c-zsbcc   1/1       Running             0          8m
myhttp-7bc6d8b87c-cj4g8   1/1       Running   0         18s

# kubectl get deploy
NAME      DESIRED   CURRENT   UP-TO-DATE   AVAILABLE   AGE
myhttp    2         2         2            2           21m

Kubectl delete pod delete pod, you can find that the pod name (i.e., the container host name) and IP are randomly assigned, so how do we access the application?

# # kubectl get pod kubectl describe pod myhttp - 7 bc6d8b87c - cj4g8 | grep IP IP: 10.129.3.28

Service

Service is similar to traditional hardware load balancing such as F5 and A10, but it is implemented by software in K8S, and can track the back-end Server in real time when scaling applications, without manual adjustment.

Internal access

We will create a Service Service for the MyHttp application deployed in the previous section, but before that, we will create a POD as the cluster internal client for subsequent Service validation. To ensure that the POD will run all the time, the command is used to execute the infinite loop command in the front end. To ensure that the POD will run all the time, the command is used to execute the infinite loop command in the front end.

# kubectl create -f - <<EOF
apiVersion: v1
kind: Pod
metadata:
  name: myclient
  labels:
    app: myclient
spec:
  containers:
  - name: myclient
    image: centos
    command: ['sh','-c','while true; do sleep 3600; done;']
EOF

Create a myhttp-int service for the myHttp application with the following command:

# kubectl expose deployment myhttp --port=8080 --target-port=80 --name=myhttp-int
service "myhttp-int" exposed

The above command is equivalent to manually creating a Service using the following YAML file: Create a service named myhttp-int with port 8080 pointing to port 80 of the backend service, which is observed in the MyHttp Deployment by selecting the Pod with label app: myHttp via the selector, Can be found. The spec. The template. The metadata. Labels defined label is app: myhttp, so, through the myhttp – int: 8080 to be able to access myhttp service.

apiVersion: v1
kind: Service
metadata:
  labels:
    app: myhttp
  name: myhttp-int
spec:
  clusterIP:
  ports:
  - port: 8080
    protocol: TCP
    targetPort: 80
  selector:
    app: myhttp
  sessionAffinity: None

When you access the Service in the test container via myhttp-int:8080, you can find that the load is balanced on the two PODs at the back end:

# kubectl get pod NAME READY STATUS RESTARTS AGE myclient 1/1 Running 0 1h myhttp-7bc6d8b87c-cj4g8 1/1 Running 0 1d Myhttp-7bc6d8b87c-zsbcc 1/1 Running 0 1d # # kubectl exec myhttp-7bc6d8b87c-cj4g8-it -- sh-c "hostname>htdocs/index.html" # kubectl exec myhttp-7bc6d8b87c-zsbcc -it -- sh -c "hostname>htdocs/index.html" # kubectl exec -it myclient -- curl myhttp-int:8080 myhttp-7bc6d8b87c-cj4g8 # kubectl exec -it myclient -- curl myhttp-int:8080 myhttp-7bc6d8b87c-zsbcc

When scaling the POD, we can observe that the Service will dynamically trace the Endpoints Service with the following command:

# kubectl get endpoints myhttp - int the NAME endpoints AGE myhttp - int 10.129.0.237:80,10.129. 3.28:1 h # 80 kubectl scale deploy myhttp --replicas=3 # kubectl get endpoints myhttp-int NAME ENDPOINTS AGE myhttp-int 10.129.0.237:80,10.129. 3.28:80,10.131. 0.194:1 h 80

External access

If an application needs to provide services outside the K8S cluster, then it can create a Service of type NodePort. At this time, all nodes in the K8S cluster are listening on the port specified by NodePort, so external applications can access the services provided inside the cluster through any node in the cluster.

# kubectl create -f - <<EOF 
apiVersion: v1
kind: Service
metadata:
  labels:
    app: myhttp
  name: myhttp-pub
spec:
  type: NodePort
  ports:
  - port: 8080
    nodePort: 30001
    protocol: TCP
    targetPort: 80
  selector:
    app: myhttp
  sessionAffinity: None
EOF

Execute the following command to check the service and find that one is of type ClusterIP and the other is of type NodePort, but both have been assigned a ClusterIP address:

# kubectl get svc
NAME         TYPE        CLUSTER-IP     EXTERNAL-IP   PORT(S)          AGE
myhttp-int   ClusterIP   172.30.37.43   <none>        8080/TCP         1h
myhttp-pub   NodePort    172.30.6.69    <none>        8080:30001/TCP   3m

The myhttp-pub service opens the host port of each node in the cluster via nodePort. At this point, the service can be accessed from any node in the cluster:

# curl 192.168.220.21:30001 myhttp-7BC6d8b87c-zsbcc # curl 192.168.230.21:30001 myhttp-7BC6d8b87c-zsbcc # curl Myhttp 192.168.240.21:30001-7 bc6d8b87c - cj4g8

Service of type NodePort can expose the Service to the outside of the cluster, but the problem is: the number of ports is limited (limited to 3000-32767), and if the node fails, the access to the Service through this node will fail. For this reason, the NodePort type of Service is not commonly used, and instead Ingress’s technology is used to expose the Service to the outside of the cluster, but for simplicity, Ingress is not covered in this article.

Configmap

If you need to customize the httpd.conf file of the HTTPD Image, you should not log in to each Container directly to modify the configuration. Instead, you should consider using the ConfigMap2 technology provided by K8s. It shares PODs as files created by the central storage repository.

For simplicity’s sake, as shown below, let’s arbitrarily create a file and mount it into Deployment, modify ConfigMap, extend Deployment, and use it to explain the role of ConfigMap.

Create a cm3 named my-config:

# kubectl create -f - <<EOF apiVersion: v1 metadata: name: my-config data: hosts: | 127.0.0.1 localhost localhost. Localdomain # : : 1 localhost localhost. Localdomain kind: ConfigMap EOF

Executed Kubectl Edit Deploy MyHttp to modify Deployment and mount CM into the /etc/myhosts directory. The complete YAML file looks like this (PS: Add Volumemounts and Volume) :

apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  labels:
    app: myhttp
  name: myhttp
spec:
  replicas: 1
  selector:
    matchLabels:
      app: myhttp
  template:
    metadata:
      labels:
        app: myhttp
    spec:
      containers:
      - image: httpd
        name: myhttp
        volumeMounts:
        - name: config-hosts
          mountPath: /etc/myhosts
      volumes:
      - name: config-hosts
        configMap:
          name: my-config

After you modify Deploy, you can see that PODS will be automatically rebuilt, and then check the hosts file containing CM in each POD discoverable directory:

# kubectl get pod
NAME                      READY     STATUS    RESTARTS   AGE
myhttp-774ffbb989-gz6bd   1/1       Running   0          11m
myhttp-774ffbb989-k8m4b   1/1       Running   0          11m
myhttp-774ffbb989-t74nk   1/1       Running   0          11m

# kubectl exec -it myhttp-774ffbb989-gz6bd  -- ls /etc/myhosts
hosts
# kubectl exec -it myhttp-774ffbb989-gz6bd  -- cat /etc/myhosts/hosts
127.0.0.1   localhost localhost.localdomain
#::1        localhost localhost.localdomain

Modify CM, and after a few minutes, you can see that the configuration in POD is automatically updated:

# kubectl edit cm my-config ... Data: hosts: | 127.0.0.1 localhost localhost. Localdomain: : 1 localhost localhost. Localdomain... # kubectl exec-it myhttp-774ffbb989-gz6bd -- cat /etc/myhosts/hosts 127.0.0.1 localhost localhost ::1 localhost localhost.localdomain

Expand the application and then check the new POD and find that it contains CM content:

# kubectl scale deploy myhttp --replicas=4 # kubectl get pod myhttp-774ffbb989-gz6bd 1/1 Running 0 15h myhttp-774ffbb989-k8m4b 1/1 Running 0 15h myhttp-774ffbb989-t74nk 1/1 Running 0 15h myhttp-774ffbb989-z5d6h 1/1 Running 0 21s # kubectl exec-it myhttp-774ffbb989-z5d6h -- cat /etc/myhosts/hosts 127.0.0.1 localhost localhost ::1  localhost localhost.localdomain

Secret

Compared with ConfigMap, which is used to save plaintext, Secret stores ciphertext, such as user password and other sensitive data, which can be encrypted with Secret. As shown below, we create a Secret to encrypt the user and password and provide it to the container for use.

The Opaque Secret data is a MAP type, and the value is required to be in base64 encoded format. Encrypt user and password:

# echo -n root | base64
cm9vdA==
# echo -n Changeme | base64
Q2hhbmdlbWU=

Create a secret named userPWD-secret that contains the user and password:

#  kubectl create -f - <<EOF
apiVersion: v1
kind: Secret
metadata:
  name: userpwd-secret
type: Opaque
data:
  username: cm9vdA==
  password: Q2hhbmdlbWU=
EOF

Update Deployment to mount the secret in volume:

# kubectl edit deployment myhttp
...
spec:
...
    spec:
      containers:
      - image: httpd
      ...
        volumeMounts:
        - name: userpwd
          mountPath: /etc/mysecret
      ...
      volumes:
      - name: userpwd
        secret:
          secretName: userpwd-secret
...

If you log in to the container, you can find that the key in the secret is saved as a file with the contents of value, but it has been decrypted correctly in the container:

# kubectl exec -it myhttp-64575c77c-kqdj9 -- ls -l /etc/mysecret lrwxrwxrwx. 1 root root 15 May 17 07:01 password -> .. data/password lrwxrwxrwx. 1 root root 15 May 17 07:01 username -> .. data/username # kubectl exec -it myhttp-64575c77c-kqdj9 -- cat /etc/mysecret/username root

Storage

We save our web applications to external storage and then mount them on a Pod so that our published applications are not lost regardless of whether the Pod is rebuilt or scaled.

configurationNFSstorage

For simplicity, this example uses NFS as shared storage:

NFS Server Installation Software:

# yum install nfs-utils

Configure the shared directory:

# mkdir -p /exports/httpd
# chmod 0777 /exports/*
# chown nfsnobody:nfsnobody /exports/*
# cat > /etc/exports.d/k8s.exports <<EOF
/exports/httpd *(rw,root_squash)
EOF

Configure firewall, release NFS port:

# firewall-cmd --add-port=2049/tcp
# firewall-cmd --permanent --add-port=2049/tcp

Configure SELinux to allow Docker to write data to NFS:

# getsebool -a|grep virt_use_nfs
# setsebool -P virt_use_nfs=true

Start the NFS service:

# systemctl restart nfs-config
# systemctl restart nfs-server
# systemctl enable nfs-server

K8SCluster usage storage

Install NFS client software on each node of K8S cluster, and set SELinux permissions:

# yum install nfs-utils
# setsebool -P virt_use_nfs=true

Create a PersistentVolume of type NFS: PersistentVolume (PV) that points to the NFS backend store:

# kubectl create -f - <<EOF apiVersion: v1 kind: PersistentVolume metadata: name: httpd spec: accessModes: Gi NFS - ReadWriteMany capacity: storage: 1: path: / exports/HTTPD server: 192.168.240.11 persistentVolumeReclaimPolicy: Retain EOF

Create a persistent volume declaration that PersistentVolumeClaim (PVC) points to the PV created in the previous step:

# kubectl create -f - <<EOF
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: httpd
spec:
  accessModes:
  - ReadWriteMany
  resources:
    requests:
      storage: 1Gi
  volumeName: httpd
EOF

Check that PVC/HTTPD is bound to PV/HTTPD:

# oc get pv,pvc
NAME         CAPACITY   ACCESS MODES   RECLAIM POLICY   STATUS   CLAIM   ...   
pv/httpd     1Gi        RWX            Retain           Bound    demo/httpd  ...

NAME         STATUS    VOLUME    CAPACITY   ACCESS MODES   STORAGECLASS   AGE
pvc/httpd    Bound     httpd     1Gi        RWX                           53s

Rebuild Deployment and add Volume and mount points:

# kubectl delete deploy myhttp
# kubectl create -f - <<EOF
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  labels:
    app: myhttp
  name: myhttp
spec:
  replicas: 3
  selector:
    matchLabels:
      app: myhttp
  template:
    metadata:
      labels:
        app: myhttp
    spec:
      containers:
      - image: httpd
        name: myhttp
        imagePullPolicy: IfNotPresent
        volumeMounts:
        - name: config-hosts
          mountPath: /etc/myhosts
        - name: userpwd
          mountPath: /etc/mysecret
        - name: httpd-htdocs
          mountPath: /usr/local/apache2/htdocs
      volumes:
      - name: config-hosts
        configMap:
          name: my-config
      - name: userpwd
        secret:
          secretName: userpwd-secret
      - name: httpd-htdocs
        persistentVolumeClaim:
          claimName: httpd
EOF

After POD is generated, check that the NFS directory is mounted into the container:

# kubectl get pod # kubectl exec -it myhttp-8699b7d498-dlzrm -- df -h Filesystem Size Used Avail Use% Mounted on ... 192.168.240.11:37 g/exports/HTTPD 17 g 21 g 44% / usr/local/apache2 / htdocs... # kubectl exec-it myhttp-8699b7d498-dlzrm -- ls htdocs # The current directory is empty

# kubectl exec-it myhttp-8699b7d498-dlzrm -- /bin/sh # echo "this is a test of pv" > htdocs/index.html #

If we delete the container or extend the container, we will find that the htdocs in the container contains the published application:

# kubectl delete pod-l app=myhttp # kubectl get pod # kubectl exec-it myhttp-8699b7d498-6q8tv -- cat htdocs/index.html this is a test of pv

Satefulset

For example, the MyHTTP application created with Deplyment above is stateless, the host name is randomly and dynamically assigned, and all PODS can share the same mount volume. However, such as Kafaka and ZooKeeper cluster, it is stateful and the host name needs to be determined as one. K8S provides SatefulSet technology to meet the needs of such applications.

As shown below, we will use the NGINX image to create a stateful cluster to illustrate StatefulSet usage.

Instead of Deployment, we must first create a Service that has ClusterIP: None:

# kubectl create -f - <<EOF
apiVersion: v1
kind: Service
metadata:
  name: web
  labels:
    app: nginx-web
spec:
  ports:
  - port: 80
    name: web
  clusterIP: None
  selector:
    app: nginx-web
EOF

This Service has no clusterIP, which means that we cannot directly access the back-end Service through this Servcie.

# kubectl get svc
NAME         TYPE        CLUSTER-IP     EXTERNAL-IP   PORT(S)          AGE
web          ClusterIP   None           <none>        80/TCP           3s

Create a stateful service named nginx with a mirror number of 2, and note that the ServiceName is configured as the SVC created in the previous step:

# kubectl create -f - <<EOF
apiVersion: apps/v1beta1
kind: StatefulSet
metadata:
  name: nginx
spec:
  serviceName: web
  replicas: 2
  template:
    metadata:
      labels:
        app: nginx-web
    spec:
      containers:
      - name: nginx
        image: nginx
        ports:
        - containerPort: 80
          name: web
EOF

If you observe the POD startup, you can find that the POD name is NGINX-N format 4, this name is fixed and unique, and you can find that the POD is started sequentially, that is, the container NGINX-N is started after NGINX -< N-1 >.

# kubectl get pod -w NAME READY STATUS RESTARTS AGE nginx-0 0/1 ContainerCreating 0 7s nginx-0 1/1 Running 0 10s nginx-1  0/1 Pending 0 0s nginx-1 0/1 Pending 0 0s nginx-1 0/1 ContainerCreating 0 1s nginx-1 1/1 Running 0 13s

The created service is used by StatefulSet on DNS to track the POD name:

# kubectl run-i --tty --image busybox ds-test --restart=Never --rm /bin/sh # NSLookup Web # Find a Web service that has two PODs on the back end... Name: web Address 1:10.129.0.248 nginx - 0. Web. Demo. SVC. Cluster. The local Address 2: 10.131.0.200 nginx - 1. Web. Demo. SVC. Cluster. The local # nslookup nginx - 0. Web # validation pod name the IP address of the corresponding... Name: nginx-0.web.demo.svc.cluster.local Address 1: 10.129.0.248 nginx - 0. Web. Demo. SVC. Cluster. The local # nslookup nginx - 1. The web... Name: nginx - 1. Web. Demo. SVC. Cluster. The local Address 1:10.131.0.200 nginx - 1. Web. Demo. SVC. Cluster. The local

Configure the SatefulSet mount volume:

# kubectl delete statefulset nginx # kubectl create -f - <<EOF apiVersion: statefulset # kubectl create -f - <<EOF apiVersion: apps/v1beta1 kind: StatefulSet metadata: name: nginx spec: serviceName: web replicas: 2 template: metadata: labels: app: nginx-web spec: containers: - name: nginx image: nginx ports: - containerPort: 80 name: web volumeMounts: - name: www mountPath: /usr/share/nginx/html volumeClaimTemplates: - metadata: name: www spec: accessModes: [ "ReadWriteOnce" ] storageClassName: glusterfs-raid0 resources: requests: storage: 10Mi EOF

Note: In volumeClaimTemplates. Add the storageClassName spec, it specifies the store called glusterfs – raid 0, so, when the pod is generated, K8S uses dynamic provision5 to create PVCs, PVs and automatically dynamically allocate volumes from the storage pool glusterfs-raid0. Of course, if you use the NFS Storage configured in the Storage section, you need to delete StorageClassName here, and then manually create the Storage, PV, PVC.

Check:

# The following volumes are automatically created from GlusterFS by K8S using the dynamic offer:  # kubectl get pvc NAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE www-nginx-0 Bound pvc-4a76e4a9... 1Gi RWO glusterfs-raid0 22h www-nginx-1 Bound pvc-536e8980... 1Gi RWO glusterfs-raid0 22h # kubectl get statefulset,pod NAME DESIRED CURRENT AGE statefulsets/nginx 2 2 22h NAME READY Nginx-1 Running 0 32h Po /nginx-1 32h Running 0 32h # Starts start AGE PO /nginx-1 32h Running 0 32h # # kubectl exec-it nginx-0 -- df-h Filesystem Size Used Avail Use% Mounted on 192.168.220.21:vol_e6858... 1016M 33M 983M 4% /usr/share/nginx/html # kubectl exec -it nginx-1 -- df -h Filesystem Size Used Avail Use% Mounted on 192.168.220.21: vol_c659cc... 1016M 33M 983M 4% /usr/share/nginx/html

Namespace

Careful readers will see demo/ HTTPD in the Storage section, which is the Namespace/Project6 used by the author. Just as OpenStack cloud computing platform provides multi-tenancy purpose, and each tenant can create its own Project, K8S also provides multi-tenancy function, and we can create different namespaces. And restrict the Pod, Service, Configmap, and so on shown above to namespaces.

The newly built K8S cluster defaults to the following two namespaces:

# kubectl get namespace NAME DISPLAY NAME STATUS default Active # kube-system Active # k8s

We can create a namespace by executing the following command:

# kubectl create namespace demo
namespace "demo" created

Then, the kubectl command can be executed with the “-n

” parameter. Query POD as shown below:

# kubectl get pod -n demo
NAME                     READY     STATUS    RESTARTS   AGE
nginx-0                  1/1       Running   0          23h
nginx-1                  1/1       Running   0          23h

Finally, for the OpenShift platform, we can execute the following command to log in to a Namespace so that we don’t have to attach “-n < Namespace >” every time.

# oc project demo
# oc get pod
NAME                     READY     STATUS    RESTARTS   AGE
nginx-0                  1/1       Running   0          23h
nginx-1                  1/1       Running   0          23h

conclusion

Through this article, we have learned the core knowledge of Docker and K8S, and I believe readers should be able to skillfully use the K8S platform.

The mirror format is:<image_name>:<image_tag>And if he does not writeimage_tag, the default islatest tag ↩
Refer to official documentation:Configure a Pod to Use a ConfigMap.↩
Content iskey:valueFormat, and onecmCan contain more than one↩
statefulsetThe rules for generating names are fixed:<statefulset-name>-n ↩
Storage must support dynamic provisionality, such as GlusterFS storage, which must be configured to support dynamic provisionalityheketi;↩
OpenshiftPlatform, both theProjectIs theK8StheNamespace ↩

mo4tech.com (Moment For Technology) is a global community with thousands techies from across the global hang out!Passionate technologists, be it gadget freaks, tech enthusiasts, coders, technopreneurs, or CIOs, you would find them all here.

Enter the world of Docker and Kubernetes containers

instructions

Docker

DockerwithK8S

Dockerbasis

Kubernetes

Pod

Deployment

Service

Internal access

External access

Configmap

Secret

Storage

configurationNFSstorage

K8SCluster usage storage

Satefulset

Namespace

conclusion

Enter the world of Docker and Kubernetes containers

instructions

Docker

DockerwithK8S

Dockerbasis

Kubernetes

Pod

Deployment

Service

Internal access

External access

Configmap

Secret

Storage

configurationNFSstorage

K8SCluster usage storage

Satefulset

Namespace

conclusion

Related Posts

Install Docker environment under Linux

[Fill in the pit] GitLab server migration and upgrade

Docker install Elasticsearch 7.7.0