Manage a Docker Cluster with Kubernetes

Published February 28, 2018 by Damaso Sanoja

Traducciones al Español
Estamos traduciendo nuestros guías y tutoriales al Español. Es posible que usted esté viendo una traducción generada automáticamente. Estamos trabajando con traductores profesionales para verificar las traducciones de nuestro sitio web. Este proyecto es un trabajo en curso.

Create a Linode account to try this guide with a $ credit.

This credit will be applied to any valid services used during your first days.

What is a Kubernetes Cluster?

Kubernetes is an open source platform for managing containerized applications. If you use Docker for an application deployed on multiple Linodes, a Kubernetes cluster can manage your servers and deployments, including tasks such as scaling, deployment, and rolling upgrades.

A Kubernetes cluster consists of at least one master node and several worker nodes. The master node runs the API server, the scheduler and the controller manager, and the actual application is deployed dynamically across the cluster.

Note

You can now create a Kubernetes cluster with one command using the Linode CLI. To provision Kubernetes on Linodes, this tool uses the Linode Kubernetes Terraform module , the Linode Cloud Controller Manager (CCM) , and the Container Storage Interface (CSI) Driver for Linode Block Storage. See the Kubernetes Tools page for installation steps. For an in-depth dive into the Linode Kubernetes Terraform module, see its related Community Site post .

System Requirements

To complete this guide you will need three Linodes running Ubuntu 16.04 LTS, each with at least 4GB of RAM. Before beginning this guide, you should also use the Cloud Manager to generate a private IP address for each Linode.

Before You Begin

This article requires that you first complete our How to Install, Configure, and Deploy NGINX on a Kubernetes Cluster guide and follow the procedures described there to configure one master node and two worker nodes.

Set the hostnames of the three Linodes as follows:

Master node: kube-master
First worker node: kube-worker-1
Second worker node: kube-worker-2

Unless otherwise stated, all commands will be executed from the kube-master.

Kubernetes Pods

A Pod is a group of one or more tightly coupled containers that share resources such as storage and network. Containers inside a Pod are started, stopped, and replicated as a group.

Kubernetes Cluster

Create a Deployment

Deployments are high-level objects that can manage Pod creation and allow the use of features such as declarative scaling and rolling-upgrade.

In a text editor, create nginx.yaml and add the following content:

File: ~/nginx.yaml

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
apiVersion: apps/v1
kind: Deployment
metadata:
  name: nginx-server
  labels:
    app: nginx
spec:
  replicas: 1
  selector:
    matchLabels:
      app: nginx
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
      - name: nginx
        image: nginx:1.13-alpine
        ports:
        - containerPort: 80

The file contains all the necessary information to specify a deployment, including the Docker image to use, number of replicas, and the container port. For more information about deployment configuration, see the documentation.

Create your first deployment:
kubectl create -f nginx.yaml --record

List your deployments:

kubectl get deployments

NAME           DESIRED   CURRENT   UP-TO-DATE   AVAILABLE   AGE
nginx-server   1         1         1            1           13s

Check that your Pod is present:

kubectl get pods

NAME                           READY     STATUS    RESTARTS   AGE
nginx-server-b9bc6c6b5-d2gqv   1/1       Running   0          58s

To see which node the deployment was created on, add the -o wide flag:

kubectl get pods -o wide

NAME                           READY     STATUS    RESTARTS   AGE       IP                NODE
nginx-server-b9bc6c6b5-d2gqv   1/1       Running   0          1m        192.168.255.197   kube-worker-02

Scale Deployments

Kubernetes makes it easy to scale deployments to add or remove replicas.

Increase the number of replicas to 8:

kubectl scale deployment nginx-server --replicas=8

Check the availability of your new replicas:

kubectl get pods -o wide

NAME                           READY     STATUS    RESTARTS   AGE       IP               NODE
nginx-server-b9bc6c6b5-4mdf6   1/1       Running   0          41s       192.168.180.10   kube-worker-1
nginx-server-b9bc6c6b5-8mvrd   1/1       Running   0          3m        192.168.180.9    kube-worker-1
nginx-server-b9bc6c6b5-b99pt   1/1       Running   0          40s       192.168.180.12   kube-worker-1
nginx-server-b9bc6c6b5-fjg2c   1/1       Running   0          40s       192.168.127.12   kube-worker-2
nginx-server-b9bc6c6b5-kgdq5   1/1       Running   0          41s       192.168.127.11   kube-worker-2
nginx-server-b9bc6c6b5-mhb7s   1/1       Running   0          40s       192.168.180.11   kube-worker-1
nginx-server-b9bc6c6b5-rlf9w   1/1       Running   0          41s       192.168.127.10   kube-worker-2
nginx-server-b9bc6c6b5-scwgj   1/1       Running   0          40s       192.168.127.13   kube-worker-2

The same command can be used to decrease the number of replicas:
kubectl scale deployment nginx-server --replicas=3

Rolling Upgrades

Managing Pods with a Deployment allows you to make use of rolling upgrades. A rolling upgrade is a mechanism that allows you to update your application version without any downtime. Kubernetes ensures that at least 25% of your Pods are available at all times and creates new Pods before deleting the old ones.

Upgrade your containers’ NGINX version from 1.13 to 1.13.8:
kubectl set image deployment/nginx-server nginx=nginx:1.13.8-alpine
Similar to the scaling process, the set command uses declarative approach: you specify the desired state and the controller manages all necessary tasks to accomplish that goal.

Check the update status:

kubectl rollout status deployment/nginx-server

Waiting for rollout to finish: 1 out of 3 new replicas have been updated...
Waiting for rollout to finish: 1 out of 3 new replicas have been updated...
Waiting for rollout to finish: 1 out of 3 new replicas have been updated...
Waiting for rollout to finish: 2 out of 3 new replicas have been updated...
Waiting for rollout to finish: 2 out of 3 new replicas have been updated...
Waiting for rollout to finish: 2 out of 3 new replicas have been updated...
Waiting for rollout to finish: 1 old replicas are pending termination...
Waiting for rollout to finish: 1 old replicas are pending termination...
deployment "nginx-server" successfully rolled out

You can manually check the application version with the describe command:
kubectl describe pod <pod-name>
In the event of an error, the rollout will hang and you will be forced to cancel by pressing CTRL+C. Test this by setting an invalid NGINX version:
kubectl set image deployment/nginx-server nginx=nginx:1.18.

Check your current Pods:

kubectl get pods -o wide

NAME                            READY     STATUS             RESTARTS   AGE       IP               NODE
nginx-server-76976d4555-7nv6z   1/1       Running            0          3m        192.168.127.15   kube-worker-2
nginx-server-76976d4555-wg785   1/1       Running            0          3m        192.168.180.13   kube-worker-1
nginx-server-76976d4555-ws4vf   1/1       Running            0          3m        192.168.127.14   kube-worker-2
nginx-server-7ddd985dd6-mpn9h   0/1       ImagePullBackOff   0          2m        192.168.180.16   kube-worker-1

The Pod nginx-server-7ddd985dd6-mpn9h is trying to upgrade to an nonexistent version of NGINX.

Get more details about the error by inspecting this Pod:
kubectl describe pod nginx-server-7ddd985dd6-mpn9h

Since you used the --record flag when creating the deployment, you can retrieve the complete revision history:

kubectl rollout history deployment/nginx-server

REVISION  CHANGE-CAUSE
1         kubectl scale deployment nginx-server --replicas=3
2         kubectl set image deployment/nginx-server nginx=nginx:1.13.8-alpine
3         kubectl set image deployment/nginx-server nginx=nginx:1.18

You can then roll back to an earlier, working revision. To revert to the previous revision, use the undo command:
kubectl rollout undo deployment/nginx-server
To roll back to a specific revision, specify the target revision with the --to-revision option:
kubectl rollout undo deployment/nginx-server --to-revision=1

Kubernetes Services

You now have a deployment running three Pods of an NGINX application. In order to expose the Pods to the internet, you need to create a service. In Kubernetes a service is an abstraction that allows Pods to be accessible at all times. Services automatically handle IP changes, updates, and scaling, so once the service is enabled your application will be available as long as a running Pod remains active.

Configure a test service:

File: ~/nginx-service.yaml

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
apiVersion: v1
kind: Service
metadata:
  name: nginx-service
  labels:
    run: nginx
spec:
  type: NodePort
  ports:
  - port: 80
    targetPort: 80
    protocol: TCP
    name: http
  selector:
    app: nginx

Create the service:
kubectl create -f nginx-service.yaml

Check the status of the new service:

kubectl get services

NAME            TYPE        CLUSTER-IP    EXTERNAL-IP   PORT(S)        AGE
kubernetes      ClusterIP   10.96.0.1     <none>        443/TCP        2d
nginx-service   NodePort    10.97.41.31   <none>        80:31738/TCP   38m

The service is running and accepting connections on port 31738.

Test the service:

curl <MASTER_LINODE_PUBLIC_IP_ADDRESS>:<PORT(S)>

View additional information about this service with the describe command:

kubectl describe service nginx-service

Name:                     nginx-service
Namespace:                default
Labels:                   run=nginx
Annotations:              <none>
Selector:                 app=nginx
Type:                     NodePort
IP:                       10.97.41.31
Port:                     http  80/TCP
TargetPort:               80/TCP
NodePort:                 http  31738/TCP
Endpoints:                192.168.127.14:80,192.168.127.15:80,192.168.180.13:80
Session Affinity:         None
External Traffic Policy:  Cluster
Events:                   <none>

Kubernetes Namespaces

Namespaces are logical environments that offer the flexibility to divide Cluster resources between multiple teams or users.

List the available namespaces:
kubectl get namespaces
```
default       Active        7h
kube-public   Active        7h
kube-system   Active        7h
```
As the name implies, the default namespace is where your deployments will be placed if no other namespace is specified. kube-system is reserved for objects created by Kubernetes and kube-public is available for all users. Namespaces can be created from a .json file or directly from the command line.

Create a new file named dev-namespace.json for the Development environment:

File: ~/home/dev-namespace.json

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
{
  "kind": "Namespace",
  "apiVersion": "v1",
  "metadata": {
    "name": "development",
    "labels": {
      "name": "development"
    }
  }
}

Create the namespace in your cluster:
kubectl create -f dev-namespace.json
List the namespaces again:
kubectl get namespaces

Contexts

In order to use your namespaces you need to define the context where you want to employ them. Kubernetes contexts are saved in the kubectl configuration.

View your current configuration:
kubectl config view
Check in what context you are working on:
kubectl config current-context

Add the dev context using the command:

kubectl config set-context dev --namespace=development \
--cluster=kubernetes \
--user=kubernetes-admin

Switch to the dev context/namespace:
kubectl config use-context dev
Verify the change:
kubectl config current-context
Review your new configuration:
kubectl config view
Pods within a namespace are not visible to other namespaces. Check this by listing your Pods:
kubectl get pods
The message “No resources found” appears because you have no Pods or deployments created in this namespace. You still can view these objects with the --all-namespaces flag:
kubectl get services --all-namespaces

Labels

Any object in Kubernetes can have a label attached to it. Labels are key value pairs that make it easier to organize, filter, and select objects based on common characteristics.

Create a test deployment for this namespace. This deployment will include the nginx label:

File: ~/my-app.yaml

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-app
  labels:
    app: my-app
spec:
  replicas: 4
  selector:
    matchLabels:
      app: nginx
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
      - name: nginx
        image: nginx:1.12-alpine
        ports:
        - containerPort: 80

Create the deployment:
kubectl create -f my-app.yaml --record
If you need to find a particular Pod within your cluster, rather than listing all of the Pods it is usually more efficient to search by label with the -l option:
kubectl get pods --all-namespaces -l app=nginx
Only the Pods in the default and development namespace are listed because they have the label nginx included in their definition.

Kubernetes Nodes

A node may be a physical machine or a virtual machine. In this guide each Linode is a node. Think of nodes as the uppermost level in the Kubernetes abstraction model.

List your current nodes:

kubectl get nodes

NAME             STATUS    ROLES     AGE       VERSION
kube-master      Ready     master    21h       v1.9.2
kube-worker-1    Ready     <none>    19h       v1.9.2
kube-worker-2    Ready     <none>    17h       v1.9.2

For more detail, add the -o flag:
kubectl get nodes -o wide
The information displayed is mostly self-explanatory and useful for checking that all nodes are ready. You can also use the describe command for more detailed information about a specific node:
kubectl describe node kube-worker-1

Node Maintenance

Kubernetes offers a very straightforward solution for taking nodes offline safely.

Return to the default namespace where you have a running service for NGINX:
kubectl config use-context kubernetes-admin@kubernetes
Check your Pods:
kubectl get pods -o wide
Prevent new Pods creation on the node kube-worker-2:
kubectl cordon kube-worker-2

Check the status of your nodes:

kubectl get nodes

NAME             STATUS                     ROLES     AGE       VERSION
kube-master      Ready                      master    4h        v1.9.2
kube-worker-1    Ready                      <none>    4h        v1.9.2
kube-worker-2    Ready,SchedulingDisabled   <none>    4h        v1.9.2

To test the Kubernetes controller and scheduler, scale up your deployment:
kubectl scale deployment nginx-server --replicas=10

List your Pods again:

kubectl get pods -o wide

NAME                           READY     STATUS    RESTARTS   AGE       IP                NODE
nginx-server-b9bc6c6b5-2pnbk   1/1       Running   0          11s       192.168.188.146   kube-worker-1
nginx-server-b9bc6c6b5-4cls5   1/1       Running   0          11s       192.168.188.148   kube-worker-1
nginx-server-b9bc6c6b5-7nw5m   1/1       Running   0          3d        192.168.255.220   kube-worker-2
nginx-server-b9bc6c6b5-7s7w5   1/1       Running   0          44s       192.168.188.143   kube-worker-1
nginx-server-b9bc6c6b5-88dvp   1/1       Running   0          11s       192.168.188.145   kube-worker-1
nginx-server-b9bc6c6b5-95jgr   1/1       Running   0          3d        192.168.255.221   kube-worker-2
nginx-server-b9bc6c6b5-md4qd   1/1       Running   0          3d        192.168.188.139   kube-worker-1
nginx-server-b9bc6c6b5-r5krq   1/1       Running   0          11s       192.168.188.144   kube-worker-1
nginx-server-b9bc6c6b5-r5nd6   1/1       Running   0          44s       192.168.188.142   kube-worker-1
nginx-server-b9bc6c6b5-ztgmr   1/1       Running   0          11s       192.168.188.147   kube-worker-1

There are ten Pods in total but new Pods were created only in the first node.

Tell kube-worker-2 to drain its running Pods:

kubectl drain kube-worker-2 --ignore-daemonsets

node "kube-worker-2" already cordoned
WARNING: Ignoring DaemonSet-managed pods: calico-node-9mgc6, kube-proxy-2v8rw
pod "my-app-68845b9f68-wcqsb" evicted
pod "nginx-server-b9bc6c6b5-7nw5m" evicted
pod "nginx-server-b9bc6c6b5-95jgr" evicted
pod "my-app-68845b9f68-n5kpt" evicted
node "kube-worker-2" drained

Check the effect of this command on your Pods:

kubectl get pods -o wide

NAME                           READY     STATUS    RESTARTS   AGE       IP                NODE
nginx-server-b9bc6c6b5-2pnbk   1/1       Running   0          9m        192.168.188.146   kube-worker-1
nginx-server-b9bc6c6b5-4cls5   1/1       Running   0          9m        192.168.188.148   kube-worker-1
nginx-server-b9bc6c6b5-6zbv6   1/1       Running   0          3m        192.168.188.152   kube-worker-1
nginx-server-b9bc6c6b5-7s7w5   1/1       Running   0          9m        192.168.188.143   kube-worker-1
nginx-server-b9bc6c6b5-88dvp   1/1       Running   0          9m        192.168.188.145   kube-worker-1
nginx-server-b9bc6c6b5-c2c5c   1/1       Running   0          3m        192.168.188.150   kube-worker-1
nginx-server-b9bc6c6b5-md4qd   1/1       Running   0          3d        192.168.188.139   kube-worker-1
nginx-server-b9bc6c6b5-r5krq   1/1       Running   0          9m        192.168.188.144   kube-worker-1
nginx-server-b9bc6c6b5-r5nd6   1/1       Running   0          9m        192.168.188.142   kube-worker-1
nginx-server-b9bc6c6b5-ztgmr   1/1       Running   0          9m        192.168.188.147   kube-worker-1

You are ready now to safely shut down your Linode without interrupting service.
Once you finish your maintenance, tell the controller that this node is available for scheduling again:
kubectl uncordon kube-worker-2

More Information

You may wish to consult the following resources for additional information on this topic. While these are provided in the hope that they will be useful, please note that we cannot vouch for the accuracy or timeliness of externally hosted materials.

This page was originally published on February 28, 2018.

docker nginx kubernetes container

Join the conversation.

Read other comments or post your own below. Comments must be respectful, constructive, and relevant to the topic of the guide. Do not post external links or advertisements. Before posting, consider if your comment would be better addressed by contacting our Support team or asking on our Community Site.

The Disqus commenting system for Linode Docs requires the acceptance of Functional Cookies, which allow us to analyze site usage so we can measure and improve performance. To view and create comments for this article, please update your Cookie Preferences on this website and refresh this web page. Please note: You must have JavaScript enabled in your browser.

Compute

Storage

Networking

Databases

Services

Developer Tools

Industries

Pricing

Community

Engage With Us

Search Results

No Results

Filters

Manage a Docker Cluster with Kubernetes

What is a Kubernetes Cluster?

System Requirements

Before You Begin

Kubernetes Pods

Create a Deployment

Scale Deployments

Rolling Upgrades

Kubernetes Services

Kubernetes Namespaces

Contexts

Labels

Kubernetes Nodes

Node Maintenance

More Information

Your Feedback Is Important

On this page