The kubectl command-line utility is a powerful tool, and in the following chapters you will use it to create objects and interact with the Kubernetes API. Before that, however, it makes sense to go over the basic kubectl commands that apply to all Kubernetes objects.
Kubernetes uses namespaces to organize objects in the cluster. You
can think of each namespace as a folder that holds a set of objects.
By default, the kubectl command-line tool interacts with the default
namespace. If you want to use a different namespace, you can pass
kubectl the --namespace flag. For example, kubectl --namespace=mystuff references objects in the mystuff namespace.
If you want to change the default namespace more permanently, you can use a context. This gets recorded in a kubectl configuration file, usually located at $HOME/.kube/config. This configuration file also stores how to both find and authenticate to your cluster. For example, you can create a context with a different default namespace for your kubectl commands using:
$ kubectl config set-context my-context --namespace=mystuff
This creates a new context, but it doesn’t actually start using it yet. To use this newly created context, you can run:
$ kubectl config use-context my-context
Contexts can also be used to manage different clusters or different
users for authenticating to those clusters using the --users or
--clusters flags with the set-context command.
Everything contained in Kubernetes is represented by a RESTful resource. Throughout this book, we refer to these resources as Kubernetes objects. Each Kubernetes object exists at a unique HTTP path; for example, https://your-k8s.com/api/v1/namespaces/default/pods/my-pod leads to the representation of a pod in the default namespace named my-pod. The kubectl command makes HTTP requests to these URLs to access the Kubernetes objects that reside at these paths.
The most basic command for viewing Kubernetes objects via kubectl is get. If you run kubectl get <resource-name> you will get a listing of all resources in the current namespace. If you want to get a specific resource, you can use kubectl get <resource-name> <object-name>.
By default, kubectl uses a human-readable printer for viewing the
responses from the API server, but this human-readable printer removes
many of the details of the objects to fit each object on one terminal line. One way to get slightly more information is to add the -o wide flag, which gives more details, on a longer line. If you want to view the complete object, you can also view the objects as raw JSON or YAML using the -o json or -o yaml flags, respectively.
A common option for manipulating the output of kubectl is to
remove the headers, which is often useful when combining kubectl with
Unix pipes (e.g., kubectl … | awk …). If you specify the --no-headers flag, kubectl will skip the headers at the top of the
human-readable table.
Another common task is extracting specific fields from the object. kubectl uses the JSONPath query language to select fields in the returned object. The complete details of JSONPath are beyond the scope of this chapter, but as an example, this command will extract and print the IP address of the pod:
$ kubectl get pods my-pod -o jsonpath --template={.status.podIP}
If you are interested in more detailed information about a particular
object, use the describe command:
$ kubectl describe <resource-name> <obj-name>
This will provide a rich multiline human-readable description of the object as well as any other relevant, related objects and events in the Kubernetes cluster.
Objects in the Kubernetes API are represented as JSON or YAML files. These files are either returned by the server in response to a query or posted to the server as part of an API request. You can use these YAML or JSON files to create, update, or delete objects on the Kubernetes server.
Let’s assume that you have a simple object stored in obj.yaml. You
can use kubectl to create this object in Kubernetes by running:
$ kubectl apply -f obj.yaml
Notice that you don’t need to specify the resource type of the object; it’s obtained from the object file itself.
Similarly, after you make changes to the object, you can use the apply command again to update the object:
$ kubectl apply -f obj.yaml
If you feel like making interactive edits, instead of editing a local
file, you can instead use
the edit command, which will download the latest object state, and then launch an editor that contains the definition:
$ kubectl edit <resource-name> <obj-name>
After you save the file, it will be automatically uploaded back to the Kubernetes cluster.
When you want to delete an object, you can simply run:
$ kubectl delete -f obj.yaml
But it is important to note that kubectl will not prompt you to confirm the delete. Once you issue the command, the object will be deleted.
Likewise, you can delete an object using the resource type and name:
$ kubectl delete <resource-name> <obj-name>
Labels and annotations are tags for your objects. We’ll discuss the differences in Chapter 6, but for now, you can update the labels and annotations on any Kubernetes object using
the annotate and label commands. For example, to add the color=red label to a pod named bar, you can run:
$ kubectl label pods bar color=red
The syntax for annotations is identical.
By default, label and annotate will not let you overwrite an
existing label. To do this, you need to add the --overwrite flag.
If you want to remove a label, you can use the -<label-name> syntax:
$ kubectl label pods bar color-
kubectl also makes a number of commands available for debugging your
containers. You can use the following to see the logs for a running container:
$ kubectl logs <pod-name>
If you have multiple containers in your pod you can choose the container to view using the -c flag.
By default, kubectl logs lists the current logs and exits. If you
instead want to continuously stream the logs back to the terminal without
exiting, you can add the -f (follow) command-line flag.
You can also use the exec command to execute a command in a running container:
$ kubectl exec -it <pod-name> -- bash
This will provide you with an interactive shell inside the running container so that you can perform more debugging.
Finally, you can copy files to and from a container using the cp command:
$ kubectl cp <pod-name>:/path/to/remote/file /path/to/local/file
This will copy a file from a running container to your local machine. You can also specify directories, or reverse the syntax to copy a file from your local machine back out into the container.
kubectl is a powerful tool for managing your applications in your
Kubernetes cluster. This chapter has illustrated many of the common
uses for the tool, but kubectl has a great deal of built-in help
available. You can start viewing this help with:
kubectl help
or:
kubectl help command-name