This is a selection of exercises to learn to use Kubernetes (K8s). The exercises are ordered in the way I think it makes sense to introduce Kubernetes concepts.
This repository was forked from Praqma's Kubernetes Katas
You can find a summary of many of the commands used in the exercises in the cheatsheet.md.
Normally, in a classroom setup, each student is provided with a small individual kubernetes cluster - normally on Google Cloud Platform (GCP). The student is provided with a config file, which the student simply places in his/her home directory (under ~/.kube/), and no further setup is required except downloading the correct kubectl binary for your personal computer's operating system. This will be the case for most of the students.
There are students who want to setup their own cluster, on their computer. For them the options are:
Minikube is a simple installer, which runs on your host/physical computer, and sets up a virtual machine (VM) itself. This VM is configured as a single node Kubernetes cluster. The possible problems with this setup is that the minikube installer may or may not work well with the virtualization software you are using on your computer. So far it is reported to work well with:
- KVM/Libvirt
- HyperV
- VirtualBox
Brief instructions on setting up minikube on KVM are here: https://github.com/KamranAzeem/learn-kubernetes/tree/master/minikube
Note: Due to restrictions with virtualization inside a virtual machine (nested virtualization), you cannot run minikube on cloud VMs. Minikube is a part of the Kubernetes open source project, with the single goal of getting a simple cluster up and running with just one virtual machine acting as a master+worker node. So, if you want to use minikube, you will have to set it up on a physical PC, such as your personal/work computer.
Note: Minikube is a combination of boot2docker, docker-machine, and kubeadm.
Kubeadm is another type of installer, which runs inside the VM. This is a sure-shot way to setup a one-node or even a multi-node kubernetes cluster on your personal computer. The idea is that you simply create a VM inside the virtualization sofware / hypervisor of your choice, on your personal computer, with any supported Linux OS (CentOS, Fedora, Ubuntu, etc). Then you download the kubeadm installer inside this VM and run it. This sets up a master kubernetes node, which you can also use as a worker node. The master node has kubectl, and you simply login to the master node and use the cluster as usual.
Instructions on setting up a kubeadm cluster are here: https://github.com/KamranAzeem/learn-kubernetes/tree/master/kubeadm
It is possible that the worker node in the kubernetes cluster you received from your instructor, is a small spec node (1 CPU and 1.7 GB RAM). In that case, please note that certain system pods running in kube-system namespace take away as much as 60% (or 600m) of the CPU, and you are left with 40% of CPU to run your pods to do these exercises. This means, that at any given time, you will not be able to run more than few pods. So when you do the scaling and rolling updates exercises, you need to keep that in mind. You can also limit the use of CPU and Memory resources in your pods and assign them very little CPU. e.g. Allocating 2m CPU to nginx pods does not have any negative effect, and they run just fine.
You may encounter the same limitations, if you are running a cluster of your own such as minikube or kubeadm based cluster.
- 00-setup-kubectl-linux - Skip if you've already installed
kubectland have access to a cluster. - 00-setup-namespace - Skip if you've already created a personal namespace and set it as your default.
(Numeric list generated with: $ for file in $(ls | grep ^[0-9].*); do echo "* [${file}](${file})"; done)
-
09-ingress-gke.md --> Not updated / don't use
-
09-ingress-nginx.md --> Not updated / don't use
-
Spinup a Sock-Shop application with Grafana and Prometheus monitoring
Note: There are three variants of the ingress exercise - one of them is Google Kubernetes Engine (gke) specific, whereas the two others are generic and should work on any Kubernetes cluster.
On Linux, using bash, run the following commands:
$ echo "source <(kubectl completion bash)" >> ~/.bashrc
$ source ~/.bashrc
The commands above will enable kubectl autocompletion when you start a new bash session.
See Kubernetes.io - Enabling shell autocompletion for more info.
A collection of useful commands to use throughout the exercises.
The first thing you should know about your setup is what is your client (kubectl) version and what is the server version. Having this information helps in many situations.
$ kubectl version
Client Version: version.Info{Major:"1", Minor:"10", GitVersion:"v1.10.8", GitCommit:"7eab6a49736cc7b01869a15f9f05dc5b49efb9fc", GitTreeState:"clean", BuildDate:"2018-09-14T16:06:30Z", GoVersion:"go1.9.3", Compiler:"gc", Platform:"linux/amd64"}
Server Version: version.Info{Major:"1", Minor:"13", GitVersion:"v1.13.3", GitCommit:"721bfa751924da8d1680787490c54b9179b1fed0", GitTreeState:"clean", BuildDate:"2019-02-01T20:00:57Z", GoVersion:"go1.11.5", Compiler:"gc", Platform:"linux/amd64"}
$ kubectl api-resources # List resource types - kubectl 1.11+
OR
$ kubectl api-versions # List resource types
$ kubectl explain <resource-type> # Show information about a resource (e.g. api version, etc); not to confuse with "describe"
$ kubectl explain pod
$ kubectl get <resource-type> [resource-name] # In current namespace
$ kubectl get <resource-type> -n <namespace> # In specific namespace
$ kubectl get <resource> --all-namespaces # In all namespaces
$ kubectl get <resource> -o wide # Add extended information
$ kubectl get <resource> -o yaml # output in YAML format
$ kubectl get <resource> -o json # output in JSON format
$ kubectl get pods
$ kubectl get pods nginx-76542036-5431 -n development
# Describe a resource in detail
$ kubectl describe <resource-type> [resource-name]
# Examples
$ kubectl describe pod nginx-76542036-5431
# Exec into a pod:
$ kubectl exec -it nginx-76542036-5431 /bin/sh
# Check logs of pod:
$ kubectl logs -f nginx-76542036-5431
# Check kubernetes events:
$ kubectl get events --sort-by=.metadata.creationTimestamp
You can get a list of all possible commands by simply typing kubectl without any parameters. Note that each (newer) version of kubectl will have more commands/options than the previous version. The output of kubectl command below is from kubectl-1.10.8.
$ kubectl
kubectl controls the Kubernetes cluster manager.
Find more information at: https://kubernetes.io/docs/reference/kubectl/overview/
Basic Commands (Beginner):
create Create a resource from a file or from stdin.
expose Take a replication controller, service, deployment or pod and expose it as a new Kubernetes Service
run Run a particular image on the cluster
set Set specific features on objects
run-container Run a particular image on the cluster. This command is deprecated, use "run" instead
Basic Commands (Intermediate):
get Display one or many resources
explain Documentation of resources
edit Edit a resource on the server
delete Delete resources by filenames, stdin, resources and names, or by resources and label selector
Deploy Commands:
rollout Manage the rollout of a resource
rolling-update Perform a rolling update of the given ReplicationController
scale Set a new size for a Deployment, ReplicaSet, Replication Controller, or Job
autoscale Auto-scale a Deployment, ReplicaSet, or ReplicationController
Cluster Management Commands:
certificate Modify certificate resources.
cluster-info Display cluster info
top Display Resource (CPU/Memory/Storage) usage.
cordon Mark node as unschedulable
uncordon Mark node as schedulable
drain Drain node in preparation for maintenance
taint Update the taints on one or more nodes
Troubleshooting and Debugging Commands:
describe Show details of a specific resource or group of resources
logs Print the logs for a container in a pod
attach Attach to a running container
exec Execute a command in a container
port-forward Forward one or more local ports to a pod
proxy Run a proxy to the Kubernetes API server
cp Copy files and directories to and from containers.
auth Inspect authorization
Advanced Commands:
apply Apply a configuration to a resource by filename or stdin
patch Update field(s) of a resource using strategic merge patch
replace Replace a resource by filename or stdin
convert Convert config files between different API versions
Settings Commands:
label Update the labels on a resource
annotate Update the annotations on a resource
completion Output shell completion code for the specified shell (bash or zsh)
Other Commands:
api-versions Print the supported API versions on the server, in the form of "group/version"
config Modify kubeconfig files
help Help about any command
plugin Runs a command-line plugin
version Print the client and server version information
Usage:
kubectl [flags] [options]
Use "kubectl <command> --help" for more information about a given command.
Use "kubectl options" for a list of global command-line options (applies to all commands).
Also see the online kubectl Cheat Sheet for commonly used commands with examples.