SQL Clone
SQLServerCentral is supported by Redgate
 
Log in  ::  Register  ::  Not logged in
 
 
 

Installing minikube on CentOS

In this blog post, I’ll show you how to install Minikube on CentOS. Minikube is a platform you can use to test kubernetes clusters on your local machine or in a virtual machine.

Let’s start off with a fresh Install of CentoOS 7 on a virtual machine using a minimal install. If you need some help getting a Linux VM us, check out my Pluralsight course here to help you with that. You will want to ensure this virtual machine has the resource you want to run the container/pods scenarios you’d like to worth with. My configuration is dual vCPU with 10GB of RAM. 

Since we’re running a hypervisor inside a VM, you will need to enable nested virtualization in your virtual machine configuration. Cloud friends, this will not apply to you as most cloud providers do not have this enabled. 

Let’s get started with some prerequisites!

SSH into your virtual machine. I don’t have DNS internally…so I am using the IP address of the virtual machine

demo:~ aen$ ssh aen@192.168.1.69

 
First, install a hypervisor on CentOS, I’m going to use KVM. Installing KVM on RHEL based Linux distributions is most easily done by using a yum group install. This will install all of the packages included in that group for you in one command. Minikube will run inside your virtual machine as a KVM virtual machine. Minikube can use other hypervisors such as Virtual Box and VMware Fusion/Workstation.
 

sudo yum group install “Virtualization Host”

Once the installation is complete, confirm the KVM kernel module is loaded by listing the running kernel modules with lsmod then grepping for the string kvm.

lsmod | grep kvm

kvm_intel             183720  0 

kvm                   578558  1 kvm_intel

irqbypass              13503  1 kvm

Next we’ll install the KVM2 Driver Plugin for minikube

curl -Lo docker-machine-driver-kvm2 https://storage.googleapis.com/minikube/releases/latest/docker-machine-driver-kvm2 \

 && chmod +x docker-machine-driver-kvm2 \

 && sudo cp docker-machine-driver-kvm2 /usr/local/bin/ \

 && rm docker-machine-driver-kvm2

Now, that we have the prep work out of the way, let’s install kubectl. This is the command line utility you will use to interact with your Kubernetes cluster.

sudo yum install kubernetes-client

Next we’ll Install Minikube on our VM

sudo curl -Lo minikube https://storage.googleapis.com/minikube/releases/v0.29.0/minikube-linux-amd64 \

 && chmod +x minikube \

 && sudo cp minikube /usr/local/bin/ \

 && rm minikube

With everything installed, let’s launch minikube – this will download the Minicube ISO, which is a virtual machine containing the minikube cluster.

[aen@k8s1 ~]$ minikube start –vm-driver kvm2

Starting local Kubernetes v1.10.0 cluster…

Starting VM…

Downloading Minikube ISO

 171.87 MB / 171.87 MB [============================================] 100.00% 0s

Getting VM IP address…

Moving files into cluster…

Downloading kubeadm v1.10.0

Downloading kubelet v1.10.0

Finished Downloading kubelet v1.10.0

Finished Downloading kubeadm v1.10.0

Setting up certs…

Connecting to cluster…

Setting up kubeconfig…

Starting cluster components…

Kubectl is now configured to use the cluster.

Loading cached images from config file.

Finally lets check on your cluster configuration to ensure everything is online.

[aen@k8s1 ~]$ kubectl cluster-info

Kubernetes master is running at https://192.168.39.134:8443

CoreDNS is running at https://192.168.39.134:8443/api/v1/proxy/namespaces/kube-system/services/kube-dns

 

To further debug and diagnose cluster problems, use ‘kubectl cluster-info dump’.

With that, you have a functioning Kubernetes cluster inside your virtual machine which you can use for testing and development of your Kubernetes based solutions. 

The post Installing minikube on CentOS appeared first on Centino Systems Blog.

Anthony Nocentino's Blog

Anthony Nocentino is the founder of Centino Systems. As an Enterprise Architect he works with clients to find right technology for their business, designing and deploying it, providing expertise on system performance and architecture. Creating well-designed, maintainable SQL Server and Linux based systems that enable clients to collect meaningful data that they can act upon. Anthony has a Bachelors and Masters in Computer Science and is working towards a Ph.D focusing on high performance/low latency data access algorithms on solid state disks. Anthony has a unique blend of academic and professional experience leveraged to help customers solve their hardest IT problems.

Comments

Leave a comment on the original post [www.centinosystems.com, opens in a new window]

Loading comments...