setting up deployment on multi-node kubernetes












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I'm just starting to explore Kubernetes, and there is one thing I find unclear. Suppose I have a master node that I have set up with kubeadm, and another two worker nodes that I had joined to master. Now I have a yaml file that specifies the details of a Deployment and I need to run:



kubectl create -f dep.yaml


Do I need to run this command on master only? and then the master may or may not decide to use both worker nodes for the deployment according to optimal load distribution? Or do I need to run this in all worker nodes?










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    I'm just starting to explore Kubernetes, and there is one thing I find unclear. Suppose I have a master node that I have set up with kubeadm, and another two worker nodes that I had joined to master. Now I have a yaml file that specifies the details of a Deployment and I need to run:



    kubectl create -f dep.yaml


    Do I need to run this command on master only? and then the master may or may not decide to use both worker nodes for the deployment according to optimal load distribution? Or do I need to run this in all worker nodes?










    share|improve this question



























      1












      1








      1







      I'm just starting to explore Kubernetes, and there is one thing I find unclear. Suppose I have a master node that I have set up with kubeadm, and another two worker nodes that I had joined to master. Now I have a yaml file that specifies the details of a Deployment and I need to run:



      kubectl create -f dep.yaml


      Do I need to run this command on master only? and then the master may or may not decide to use both worker nodes for the deployment according to optimal load distribution? Or do I need to run this in all worker nodes?










      share|improve this question















      I'm just starting to explore Kubernetes, and there is one thing I find unclear. Suppose I have a master node that I have set up with kubeadm, and another two worker nodes that I had joined to master. Now I have a yaml file that specifies the details of a Deployment and I need to run:



      kubectl create -f dep.yaml


      Do I need to run this command on master only? and then the master may or may not decide to use both worker nodes for the deployment according to optimal load distribution? Or do I need to run this in all worker nodes?







      kubernetes






      share|improve this question















      share|improve this question













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      share|improve this question








      edited Nov 12 '18 at 15:59









      Anthon

      28.8k1693144




      28.8k1693144










      asked Nov 12 '18 at 15:10









      Mister_L

      523821




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          You don't have to. You just need to run this command once and kube-scheduler will schedule it in appropriate node.



          Look at the diagram of this page: Concepts Underlying the Cloud Controller Manager



          Mster Nodes runs, kube-apiserver, etcd, kube-scheduler, kube-controller-manager and cloud-controller-manager.



          kube-scheduler watches for newly created pod and schedule it to appropriate node based on resource requirements, hardware/software/policy constraints, affinity and anti-affinity etc.






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            You don't have to. You just need to run this command once and kube-scheduler will schedule it in appropriate node.



            Look at the diagram of this page: Concepts Underlying the Cloud Controller Manager



            Mster Nodes runs, kube-apiserver, etcd, kube-scheduler, kube-controller-manager and cloud-controller-manager.



            kube-scheduler watches for newly created pod and schedule it to appropriate node based on resource requirements, hardware/software/policy constraints, affinity and anti-affinity etc.






            share|improve this answer




























              1














              You don't have to. You just need to run this command once and kube-scheduler will schedule it in appropriate node.



              Look at the diagram of this page: Concepts Underlying the Cloud Controller Manager



              Mster Nodes runs, kube-apiserver, etcd, kube-scheduler, kube-controller-manager and cloud-controller-manager.



              kube-scheduler watches for newly created pod and schedule it to appropriate node based on resource requirements, hardware/software/policy constraints, affinity and anti-affinity etc.






              share|improve this answer


























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                1






                You don't have to. You just need to run this command once and kube-scheduler will schedule it in appropriate node.



                Look at the diagram of this page: Concepts Underlying the Cloud Controller Manager



                Mster Nodes runs, kube-apiserver, etcd, kube-scheduler, kube-controller-manager and cloud-controller-manager.



                kube-scheduler watches for newly created pod and schedule it to appropriate node based on resource requirements, hardware/software/policy constraints, affinity and anti-affinity etc.






                share|improve this answer














                You don't have to. You just need to run this command once and kube-scheduler will schedule it in appropriate node.



                Look at the diagram of this page: Concepts Underlying the Cloud Controller Manager



                Mster Nodes runs, kube-apiserver, etcd, kube-scheduler, kube-controller-manager and cloud-controller-manager.



                kube-scheduler watches for newly created pod and schedule it to appropriate node based on resource requirements, hardware/software/policy constraints, affinity and anti-affinity etc.







                share|improve this answer














                share|improve this answer



                share|improve this answer








                edited Nov 12 '18 at 16:07

























                answered Nov 12 '18 at 15:56









                Emruz Hossain

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                1,084210






























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