Well, I read the user guide of AWS EKS service. I created a managed node group for the EKS cluster successfully.
I don't know how to add the nodes running on my machine to the EKS cluster. I don't know whether EKS support. I didn't find any clue in its document. I read the 'self-managed node group' chapter, which supports add a self-managed EC2 instances and auto-scaling group to the EKS cluster rather than a private node running on other cloud instance like azure, google cloud or my machine.
Does EKS support? How to do that if supports?
This is not possible. It is (implicitly) called out in this page. All worker nodes need to be deployed in the same VPC where you deployed the control plane (not necessarily the same subnets though). EKS Anywhere (to be launched later this year) will allow you to deploy a complete EKS cluster (control plane + workers) outside of an AWS region (but it won't allow running the control plane in AWS and workers locally).
As far as I know, EKS service doesn't support adding self nodes to the cluster. But the 'EKS Anywhere' service does, which has not been online yet, but soon.
Related
I need to create an Azure Kubernetes Service with 3 master nodes. So far I used to work with single master cluster, now I am in need of creating a multi-master cluster for production environments.
Can I get a way to create an AKS with multiple control planes. Thanks in Advance.
As Soundarya mentioned in the comment, the solution could be fould here:
As your ask is on AKS (Managed service from Azure) with HA enabled Clusters you already have more than one master running. As AKS is a managed offering service you will will not have the visibility/control on this.
Can I get a way to create an AKS with multiple control planes?
For this you can check the AKS Uptime SLA, Uptime SLA guarantees 99.95% availability of the Kubernetes API server endpoint for clusters.
Please check this document for more details.
If you are using AKS Engine (unmanaged service), then you can specify the number of masters. Please refer to this document for more details.
I'm new to kubernetes and trying to explore the new things in it. So, my question is
Suppose I have existing kubernetes cluster with 1 master node and 1 worker node. Consider this setup is on AWS, now I have 1 more VM instance available on Oracle Cloud Platform and I want to configure that VM as worker node and attach that worker node to existing cluster.
So, is it possible to do so? Can anybody have any suggestions regarding this.
I would instead divide your clusters up based on region (unless you have a good VPN between your oracle and AWS infrastructure)
You can then run applications across clusters. If you absolutely must have one cluster that is geographically separated, I would create a master (etcd host) in each region that you have a worker node in.
Worker Node and Master Nodes communication is very critical for Kubernetes cluster. Adding nodes from on-prem to a cloud provider or from different cloud provider will make lots of issues from network perspective.
As VPN connection between AWS and Oracle Cloud needed and every time worker node has to cross ocean (probably) to reach master node.
EDIT: From Kubernetes Doc, Clusters cannot span clouds or regions (this functionality will require full federation support).
https://kubernetes.io/docs/setup/best-practices/multiple-zones/
I am using kubernete to manage docker cluster. Right now, I can set up POD autoscale using Horizontal Pod Scaler, that is fine.
And now I think the next step is to autoscale nodes. I think for HPA, the auto-created pod is only started in the already created nodes, but if all the available nodes are utilized and no available resource for any more pods, I think the next step is to automatically create node and have node join the k8s master.
I googled a lot and there are very limited resources to introduce this topic.
Can anyone please point me to any resource how to implement this requirement.
Thanks
One way to do using AWS and setting up your own Kubernetes cluster is by following these steps :
Create an Instance greater than t2.micro (will be master node).
Initialize the Kubernetes cluster using some tools like Kubeadm. After the initialisation would be completed you would get a join command, which needs to e run on all the nodes who want to join the cluster. (Here is the link)
Now create an Autoscaling Group on AWS with start/boot script containing that join command.
Now whenever the utilisation specified by you in autoscaling group is breached the scaling would happen and the node(s) would automatically join the Kubernetes cluster. This would allow the Kubernetes to schedule pods on the newly joined nodes based on the HPA.
(I would suggest to use Flannel as pod network as it automatically removes the node from Kubernetes cluster when it is not available)
kubernetes operations (kops) helps you create, destroy, upgrade and maintain production-grade, highly available, Kubernetes clusters from the command line.
Features:
Automates the provisioning of Kubernetes clusters in AWS and GCE
Deploys Highly Available (HA) Kubernetes Masters
Most of the managed kubernetes service providers provide auto scaling feature of the nodes
Elastic Kubernetes Service EKS- configure cluster auto scalar
Google Kubernetes Engine
GKE Auto Scalar
Auto scaling feature needs to be supported by the underlying cloud provider. Google cloud supports auto scaling during cluster creation or update by passing flags --enable-autoscaling --min-nodes and --max-nodes to the corresponding gcloud commands.
Examples:
gcloud container clusters create mytestcluster --zone=us-central1-b --enable-autoscaling --min-nodes=3 --max-nodes=10 --num-nodes=5
gcloud container clusters update mytestcluster --enable-autoscaling --min-nodes=1 --max-nodes=15
below link would be helpful
https://medium.com/kubecost/understanding-kubernetes-cluster-autoscaling-675099a1db92
Is HA across multiple cloud providers i.e ONE kubernetes cluster from mix of Azure nodes, AWS nodes, VMware nodes. (Consider all have same OS image)
If so how dynamic provisioning works.
Can Kubernetes CSI (container storage interface) help me with this.
That will not work very well. The cloud provider needs to be set on the apiserver & controller-manager and you can't run multiple copies of those in different configurations.
Now if you don't need a cloud provider, as in you are just using these as generic VMs, you will not have access to cloud storage via the kubernetes api. Otherwise it's workable but is still not a great setup. This would essentially be a cross region cluster which is not a supported use case. You are meant to use 1 cluster per region and arrange for LB somehow (yes, this is the tricky bit).
I'm trying to use the Kubernetes to deploy Docker Container and I found this tutorial.
So according to this tutorial, what is the prerequisites?
They said that "services that are typically on a separate Kubernetes master system and two or more Kubernetes node systems are all running on a single system."
But I don't understand how we run both master and nodes on a single system (for example I have one instance EC2 with IP address 52.192.x.x)
That is a guide about running Kubernetes specifically on RedHat Atomic nodes. There are lots of guides about running Kubernetes on other types of nodes; see the Creating a Kubernetes Cluster page on docs.k8s.io.
One of the guides on the Kubernetes site shows how to run a local docker-based cluster, which should also work for you on a single node in the cloud.