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This article introduces how to dispatch Pod in Kubernetes to the designated Node, the content is very detailed, interested friends can refer to, hope to be helpful to you.

Problem description

   Kubernetes has its own specific scheduling algorithm and strategy, and it is implemented by Scheduler components in Master. Automatically scheduling the creation of Pod according to the usage of Node resources can usually meet most of our needs. But sometimes we want to be able to schedule some Pod to specific hardware nodes, and here we use the simplest nodeName and nodeSelector to implement Pod scheduling.

   assumes the following scenario: there are three Node, 107,108,109, create a Deployments to deploy the Tomcat application, and specify that the Pod is created on the 107node.

Solution

  nodeName

   Pod.spec.nodeName dispatches the Pod directly to the specified Node node, skipping the scheduling policy of Scheduler, which is a mandatory match.

Tomcatl.yaml file

ApiVersion: extensions/v1beta1

Kind: Deployment

Metadata:

Name: myweb

Spec:

Replicas: 2

Template:

Metadata:

Labels:

App: myweb

Spec:

NodeSelector: 107# dispatching to the specified node directly through the node name

Containers:

-name: myweb

Image: harbor/tomcat:8.5-jre8

Ports:

-containerPort: 80

  nodeSelector

   Pod.spec.nodeSelector selects nodes through kubernetes's label-selector mechanism, and the scheduler scheduling policy matches label, and then dispatches Pod to the target node. The matching rule is a mandatory constraint.

Set up Node Lable

Kubectl label nodes 107 type=backEndNode1

one

Tomcatl.yaml file

ApiVersion: extensions/v1beta1

Kind: Deployment

Metadata:

Name: myweb

Spec:

Replicas: 2

Template:

Metadata:

Labels:

App: myweb

Spec:

NodeSelector:

Type: backEndNode1

Containers:

-name: myweb

Image: harbor/tomcat:8.5-jre8

Ports:

-containerPort: 80

Create Deployment

Kubectl create-f Tomcat.yaml

This is the end of how to schedule Pod to the specified Node in Kubernetes. I hope the above content can be helpful to you and learn more knowledge. If you think the article is good, you can share it for more people to see.

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