I always believe the best way to understand sepcific technology, is to try to build myself, One of technologies we used in our daily is Cloud,so what it takes to build a Cloud Services provider?
- A platform to handle both VM, and Containers.
- Software Defined Networking and Software Defined Storage
- Provide a single Unified commandline to manage Network, Storage, Virtual Machines, and Containers.
- I am going to build on my 8GB Personal Laptop
- I do not have any previous knowledge to the common technology such as VMWARE, OpenStack or Apache Stack
- Using only my Kubernetes Knowledge.
- I am going to put in Single Article
- Using only Opensource documentation from the Project documentation with Zero Coding.
- Nothing Pre-installed will start with Empty VM or Empty Machine
Sounds Impossible!!!!! will explain in the upcoming section, unless you know Kubevirt you can skip to steps
Cloud used be defined in very simple way as follow XaaS, X as a Service'
- IaaS Infrastructure as a Sevice
- PaaS Platform as a Service
- SaaS Software as a Service
- Few Baremetal machines.
- Few Networking device.
- Few Flash Disk.
- Few Master Minds in netwokring, storage and virtualization to assemble all of that together.
Lot of product the exists as commercial and Opensource to provide this capabilites such OpenStack, ApacheStack, vSphere, ... etc
So it is a matter of installing those tool and configuring it right ... !!! Unfortunatly those tools is either commercially very expensive, or come with its own challenge and learning curves and their own definition.
One word the SDX family with the Rise of Cloud native more and more SDX come to play but what is SDX it Software Defined X The most comonly known components are
- SDN : Software Defined Networking
- SDS : Software Defined Storage
Controlling the traffic between your Virtual machines, is no longer configuration in your physical switch or router, with SDN we build some sort of Overlay accross all your physical host, and start rebuild the whole network and security policies around it.
Providing a shared storage pool, is by bringing up All Flash appliance, or spinning Desks, Or SDS way of doing things is just bring Some machines and install SDS on top of them, so you will your Storage As A Service ready to serve ;).
Kubernetes is the most used platform for container orchestration, a closer look at Kubernetes reveal that is is more than Just Container Orchestrator, as It provides the CXI where X is N or S
- CNI : Container Network Interface
- CSI : Container Storage Interface
Which is an standard specs and libraries to be adopted by the industry and community to integrate Kubernetes with SDN such as NSX-T, Cisco ACI, Calico, .... . Also CSI which give provide a standarized interface for Storage as well as Software Defined Storage.
In Addition to standard Object, Kubernetes provide a good expandability with the custom resource definition make you able to create your own Resources the concepts extended by later with adopting the Operator Patterns.
Kubernetes to be installed on top Baremetal machine, or Virtual Machine, on top of Hypervisor
The products that implement this design is mature as Opensource(Openstack, Kubernetes, Cloudfoundry, Mesos, Apache Stack, oVirt, ..) , or as commercial (VMware, Redhat Openstack, Redhat Virtualization, ...).
IT IS COMPLEX !!!!!!!!!!!! two different products , differnt types of APIs, different dahsboard Different Highly trailed and skilled engineer. Compatibility needs to insure between all different components Two types of Control plan, that consume additional resources. Coss network policies between Virtual Machines and Containers, required additional product such as NSX-T, contrail, ... .
Let us put everything together, CNI, CSI , CRD, which can be used to define and create a compelete Virtual Machine not only Containers, or customized light weight VM, It is full VM and can be created, managed by Kubernetes as well as all Networking, Storage, provided by the Kubernetes API.
With that we have a compelete Solution that will provide the following IaaS (Virtual Machine, Storage, Networking), PaaS (Kubernetes Operators)
A single Unified API to manage the enviroments, Additionally the core functionalities Kubernetes itself of managing Containers, which will become more attactive when it managing the networking between containers and VM by the standard Kubernetes configurations.
Reimagining The Architecure with Kubevirt and Kubernetes only,
Simpler at least on the digram Single control plan Mainly Kubernetes Skills is required Storage and Networking will be handled as Kubernetes resources.
Still new technology as opensource, might lack some Enterprise requirements this line should be added anyway for any new technology not sure what it means :( Still Commercial support will be provided by Redhat CNV still in Tech preview as per the time of writing this article UI and Dahsboard not available, Redhat CNV will introduce it as per of their OpenShift Console.
Ingredients:
- 8 GB laptop Windows, Mac or Linux
- Home Switch any brand
- Hypervisor layer unless you want to run natively in your machine (I am using Windows Hyper-v)
I am using Hyper-V, and connecting my connection to host network directly Machine Specs I used 4 Cores 4 GB RAM
In Hyper-V disable secure boot, in order to be to install Linux
Few steps nothing special just follow the default settings all configuration will be done as post installation, the key aspect is to insure that your IP address is taken from your home swith by configuring the maching as host network.
The installer will prompt to restart the machine
4.A : Open the machine from the console to get the ip as well as ping any public web site to insure there public internet connectivity
4.B : At this step no longer need to access the machine directly, you can just ssh it, I started it in headless mode, do the usual apt update and install docker
Or just curl this ready made script
curl https://raw.githubusercontent.com/ahmadsayed/useful-tools/master/install-docker-ubuntu-1804.sh | sh -
to check if installation is successful
sudo docker run hello-world
Yes, we will use the kubeadm provided from kubernetes documentation (https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/install-kubeadm/)
5.A Install required Tools and Post configure the OS
Letting iptables see bridged traffic
cat <<EOF > /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF
sysctl --system
Installing kubeadm, kubelet and kubectl
sudo apt-get update && sudo apt-get install -y apt-transport-https curl
curl -s https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add -
cat <<EOF | sudo tee /etc/apt/sources.list.d/kubernetes.list
deb https://apt.kubernetes.io/ kubernetes-xenial main
EOF
sudo apt-get update
sudo apt-get install -y kubelet kubeadm kubectl
sudo apt-mark hold kubelet kubeadm kubectl
Turning off swap this configuration is not persistent.
sudo swapoff -a
5.B Install Kubernetes
sudo kubeadm init --pod-network-cidr=192.168.0.0/16
If you notice the node will remain Not Ready because we need to install Calico, Kubernets by default does not have capability to assign IP to the pods for example
5.c Install Deploy Calico
No more need for sudo :), we already admin now on kubernetes itself.
kubectl apply -f https://docs.projectcalico.org/v3.11/manifests/calico.yaml
## In my case I have single machine, so I will make master schedulable by removing the master label
kubectl taint nodes --all node-role.kubernetes.io/master-
6. Configure Dynamically provision Software Defined Block Storage
For storage we have many options, which requie quiet resources, in our cloud we will pick only block storage, by using Rancher Project Longhorn as it is the easiest to install.
Longhorn can be installed as helm or using kubectl only, following our minimalistic approach we are going to use kubectl only
kubectl apply -f https://raw.githubusercontent.com/longhorn/longhorn/master/deploy/longhorn.yaml
kubectl edit svc longhorn-frontend -n longhorn-system
change ClusterIP to NodePort and open longhorn front end dashboard
As of now we built a functional Kubernetes Cluster with only opensource technologies, time to give it capabilities to provision a virtual machine
sudo apt install libvirt-clients
virt-host-validate qemu
expected response in case running on VM, all PASS in case you are running on your machine directly
ahmed@mycloud:~$ virt-host-validate qemu
QEMU: Checking for hardware virtualization : FAIL (Only emulated CPUs are available, performance will be significantly limited)
QEMU: Checking if device /dev/vhost-net exists : PASS
QEMU: Checking if device /dev/net/tun exists : PASS
QEMU: Checking for cgroup 'memory' controller support : PASS
QEMU: Checking for cgroup 'memory' controller mount-point : PASS
QEMU: Checking for cgroup 'cpu' controller support : PASS
QEMU: Checking for cgroup 'cpu' controller mount-point : PASS
QEMU: Checking for cgroup 'cpuacct' controller support : PASS
QEMU: Checking for cgroup 'cpuacct' controller mount-point : PASS
QEMU: Checking for cgroup 'cpuset' controller support : PASS
QEMU: Checking for cgroup 'cpuset' controller mount-point : PASS
QEMU: Checking for cgroup 'devices' controller support : PASS
QEMU: Checking for cgroup 'devices' controller mount-point : PASS
QEMU: Checking for cgroup 'blkio' controller support : PASS
QEMU: Checking for cgroup 'blkio' controller mount-point : PASS
WARN (Unknown if this platform has IOMMU support)
Create kubevirt namespace
kubectl create namespace kubevirt
in case you are using Virtual Machine as Host, you need to apply this configuration
kubectl create configmap -n kubevirt kubevirt-config \
--from-literal debug.useEmulation=true
export VERSION=v0.27.0
kubectl apply -f https://github.com/kubevirt/kubevirt/releases/download/${VERSION}/kubevirt-operator.yaml
kubectl apply -f https://github.com/kubevirt/kubevirt/releases/download/${VERSION}/kubevirt-cr.yaml
kubectl -n kubevirt wait kv kubevirt --for condition=Available
if last statement give timeout ignore it use the following command to monitor kubevirt installation
kubectl get po -n kubevirt
At this stage we have kubevirt ready to serve, detailed installation guide found in here https://kubevirt.io/user-guide/#/installation/installation
To manage our minimalist cloud we need a single command line like ibmcloud in case of IBM, az in case Azure, aws in case of Amazong, in our case our global command is not surprise kubectl
we will use kubectl to create vm , container, setup the network, create the storage.
but additional extention needed
export VERSION=v0.27.0
wget https://github.com/kubevirt/kubevirt/releases/download/${VERSION}/virtctl-${VERSION}-linux-x86_64
install krew kubectl plugin manager
(
set -x; cd "$(mktemp -d)" &&
curl -fsSLO "https://github.com/kubernetes-sigs/krew/releases/latest/download/krew.{tar.gz,yaml}" &&
tar zxvf krew.tar.gz &&
KREW=./krew-"$(uname | tr '[:upper:]' '[:lower:]')_amd64" &&
"$KREW" install --manifest=krew.yaml --archive=krew.tar.gz &&
"$KREW" update
)
finally install virtctl plugin
export PATH="${PATH}:${HOME}/.krew/bin"
kubectl krew install virt
Time to create a virtual machine, and we will not get simple OS such busybox, or cirros, we will a real fedora instant
nano testvm.yaml
Past the following Contents
apiVersion: kubevirt.io/v1alpha3
kind: VirtualMachineInstance
metadata:
name: testvmi-nocloud
spec:
terminationGracePeriodSeconds: 30
domain:
resources:
requests:
memory: 1024M
devices:
disks:
- name: containerdisk
disk:
bus: virtio
- name: emptydisk
disk:
bus: virtio
- disk:
bus: virtio
name: cloudinitdisk
volumes:
- name: containerdisk
containerDisk:
image: kubevirt/fedora-cloud-container-disk-demo:latest
- name: emptydisk
emptyDisk:
capacity: "2Gi"
- name: cloudinitdisk
cloudInitNoCloud:
userData: |-
#cloud-config
password: fedora
chpasswd: { expire: False }
To Access the VM try
kubectl virt console testvmi-nocloud
login the machine via fedora/fedora
try to access internet e.g.
curl https://www.google.com
if you recieved it depends on the enviroment, this may happens in case of you are using Winodws and Hyper-v, I do not think if you run on baremetal you will face the same issue
[fedora@testvmi-nocloud ~]$ curl https://www.google.com
curl: (6) Could not resolve host: www.google.com
it means the DNS is not configured properly but how we can fix it ??!!!
Looks no far it is all Kubernetes check your coredns configure
kubectl edit cm coredns -n kube-system
if you recieved something like that
Corefile: |
.:53 {
errors
health {
lameduck 5s
}
ready
kubernetes cluster.local in-addr.arpa ip6.arpa {
pods insecure
fallthrough in-addr.arpa ip6.arpa
ttl 30
}
prometheus :9153
forward . /etc/resolv.conf
cache 30
loop
reload
loadbalance
}
The problem in this line
forward . /etc/resolv.conf
replace it with
forward . 8.8.8.8
Explanation: In Cloud native world we need Service Discovery, kubernetes used to implement it via DNS using coredns, which as it sounds a dns the corefile, is configuration which tell kubernetes for none cluster.local fall back to the host dns which is configured in /etc/resolve.conf
For the sake of simplicity we will replace it with the legendary 8.8.8.8
Now Delete the vm and recreate it
kubectl delete -f testvm.yaml
kubectl create -f testvm.yaml
Try to access Google again
curl https://www.google.com
Access the machine via ssh from another pod
Install Pod in order to test the connectivity
kubectl apply -f https://raw.githubusercontent.com/istio/istio/release-1.5/samples/sleep/sleep.yaml
pod can simply access the vm via its cluster IP
kubectl get vmi #get the Cluster IP of the Virtual Machine
kubectl get po
kubectl exec -ti sleep-8f795f47d-zj7bx -- sh #Replace it with your Pod name
ping 192.168.188.34
Step 14 : Add the VM to service discover a.k.a kubernetes DNS coredns, the sameway we define service to kubenetes we need to modify the VM yaml file as well as create a service
apiVersion: kubevirt.io/v1alpha3
kind: VirtualMachineInstance
metadata:
name: testvmi-nocloud
labels:
vm: fedora
spec:
terminationGracePeriodSeconds: 30
domain:
resources:
requests:
memory: 1024M
devices:
disks:
- name: containerdisk
disk:
bus: virtio
- name: emptydisk
disk:
bus: virtio
- disk:
bus: virtio
name: cloudinitdisk
volumes:
- name: containerdisk
containerDisk:
image: kubevirt/fedora-cloud-container-disk-demo:latest
- name: emptydisk
emptyDisk:
capacity: "2Gi"
- name: cloudinitdisk
cloudInitNoCloud:
userData: |-
#cloud-config
password: fedora
chpasswd: { expire: False }
apiVersion: v1
kind: Service
metadata:
name: vmservice
spec:
selector:
vm: fedora
clusterIP: None
ports:
- name: port-22 # this is just dns entry no port needed as per documentation
port: 22
targetPort: 22
Try to run the ping within sleep pod
kubectl get po
kubectl exec -ti sleep-8f795f47d-zj7bx -- sh
ping vmservices
Notice the IP it is the same IP of the VM Machine, We successfully created the DNS for this VM using Kubernetes Service.
How the storage will be handled recall the longhorn storage solution the current specification uses empty dir as second storage
- name: emptydisk
emptyDisk:
capacity: "2Gi"
So there is 2 Gi Disk Mounted let us explore it via accessing the machine directly
The Previous Demo show creating a disk and add file on it, but this ephemeral device if you delete this VM the disk will be raw again and need to be recreated Instead of using emtpy dir we will longhorn as our persistent volume by modifying the machine specs one more time
First Create Persistence Volume
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: longhornpvc
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 8Gi
storageClassName: longhorn
The delete the vm and recreate it with the below configuration
kubectl delete -f testvm.yaml
kubectl create -f testvm.yaml
apiVersion: kubevirt.io/v1alpha3
kind: VirtualMachineInstance
metadata:
name: testvmi-nocloud
spec:
terminationGracePeriodSeconds: 30
domain:
resources:
requests:
memory: 1024M
devices:
disks:
- name: containerdisk
disk:
bus: virtio
- name: blockdisk
disk:
bus: virtio
- disk:
bus: virtio
name: cloudinitdisk
volumes:
- name: containerdisk
containerDisk:
image: kubevirt/fedora-cloud-container-disk-demo:latest
- name: blockdisk
persistentVolumeClaim:
claimName: longhornpvc
- name: cloudinitdisk
cloudInitNoCloud:
userData: |-
#cloud-config
password: fedora
chpasswd: { expire: False }
Now time to boot the machine check the disk with lsblk
-bash-4.4$ lsblk
NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT
vda 252:0 0 4G 0 disk
└─vda1 252:1 0 4G 0 part /
vdb 252:16 0 7.8G 0 disk
vdc 252:32 0 366K 0 disk
Now create ext4 file system, and mount it
sudo mkfs.ext4 /dev/vdb
sudo mkdir /mnt/disk1
sudo mount /dev/vdb /mnt/disk1
IT Virtualization and Containers, used to be referred and OR relation, should I deploy my workload as VM or as containers, but from Infrastructure this relation always and AND relation, because it still Kubernetes most propably deployed on top of hypervisor and worker nodes is just a virtual machines.
Meanwhile with Kuberntes and Kubevirt, this gap is bridget, by the maturity of Kubevirt, this wil a pradaigm shift, in the design for private cloud enviroments, and automation.
Imagine everything described as kubernetes yaml file and managed by Kubernetes APIs, with its well established ecosystem, and already many skilled Engineer.