A workshop loosely based on https://github.com/DirectXMan12/kubebuilder-workshops/tree/kubecon-eu-2019
There are two phases:
- Running the guestbook app
- Wherein we will use our human operational prowess to modify the application
- Build an operator for the guestbook app
- Wherein we will use our human operational intention, guided by our automated operational prowess, to modify the application
This README is written to be useful to a wide range of kubernetes users: from having never touched kubernetes before through fairly expert. It does assume some level of familiarity with the command line, containers, docker, and orchestration, though with sufficiently advanced copy and paste skills it may make some sense even without that background.
More critical is an understanding of the Go programming language: we'll be using Go to automate our application, and so that knowledge will be essential (see below for some pointers).
Finally, these instructions were written exclusively for and tested exclusively on macOS, though almost everything should translate smoothly to various flavors of linux.
There are a number of resources available to get started with Go. I recommend:
- https://tour.golang.org (quick, interactive intro)
- https://gobyexample.com (more comprehensive intro, and helpful reference)
- https://www.miek.nl/go/ (free online book)
And there are a number of other resources listed on the golang wiki: https://github.com/golang/go/wiki/Learn
The only hard prerequisite is homebrew, but you'll have a better time if Docker is also installed and running in advance:
which docker || (brew cask install docker && open -a Docker)
And then we can install the tools we'll be using for this workshop:
BREW_PKGS=(golang kubectl kustomize)
brew upgrade ${BREW_PKGS[@]} # see below for minimum versions
brew install ${BREW_PKGS[@]}
brew link --overwrite kubernetes-cli # to clobber docker's kubectl
(cd /tmp/ && GO111MODULE="on" go get sigs.k8s.io/[email protected])
which kind || export PATH="$PATH:$(go env GOPATH)/bin"
# kubebuilder
os=$(go env GOOS)
arch=$(go env GOARCH)
curl -sL https://go.kubebuilder.io/dl/2.0.0-beta.0/${os}/${arch} | tar -xz -C /tmp/
export PATH=$PATH:/usr/local/kubebuilder/bin
[ -e /usr/local/kubebuilder ] && sudo mv /usr/local/kubebuilder{,.bak}
sudo mv /tmp/kubebuilder_2.0.0-beta.0_${os}_${arch} /usr/local/kubebuilder
If you already have these tools installed, please ensure you're using golang >= 1.12, kubectl >= 1.15, and especially kustomize >= 3.1.
Now that we've got kind installed, let's make a cluster:
kind create cluster --name workshop
export KUBECONFIG="$(kind get kubeconfig-path --name="workshop")"
and check that everything's set up correctly:
kubectl get nodes
You should see output like this:
NAME STATUS ROLES AGE VERSION
workshop-control-plane NotReady master 19s v1.15.0
If not, see "troubleshooting" below.
One last setup step will be to save ourselves a good deal of typing:
alias k=kubectl
k create -f https://raw.githubusercontent.com/kubernetes/examples/011284134a724c0ce30f9fa4ec966bdbdefb843e/guestbook/all-in-one/guestbook-all-in-one.yaml
First, let's inspect our pods:
k get pods
You should see some output similar to:
NAME READY STATUS RESTARTS AGE
frontend-678d98b8f7-6bvd4 0/1 ContainerCreating 0 3s
frontend-678d98b8f7-sdzhj 0/1 ContainerCreating 0 3s
frontend-678d98b8f7-xc54m 0/1 ContainerCreating 0 3s
redis-master-545d695785-gfxkx 0/1 ContainerCreating 0 4s
redis-slave-84548fdbc-5hql6 0/1 ContainerCreating 0 3s
redis-slave-84548fdbc-qxszs 0/1 ContainerCreating 0 3s
Hooray, we have containers for both our frontend app and its datastore (redis). Once those containers are running (try: k get po -w), we can interact with our local kubernetes cluster with a little help from kubectl:
k port-forward service/frontend 8080:80
and visit http://localhost:8080 to view the guestbook in all its glory.
Let's take a closer look at a Pod:
k get $(k get po -l app=guestbook -o name | head -n1) -o yaml
The top-level keys in the YAML document are:
apiVersion: v1
kind: Pod
metadata:
...
spec:
...
status:
...
Every kubernetes object has an apiVersion and kind that specify what type the object is, and metadata that every object shares. Almost every object also has a spec and a status: the former defines what should be, and the latter is the observed state of what is.
All kubernetes components are responsible for looking at some part of the desired intent written down in an object, idempotently ratcheting the actual state one step closer, and updating the status.
To get comfortable using kubectl, let's try making a trivial change: adding an annotation to one of the frontend pods. Run the commands below. With the edit open, add an annotations key underneath metadata, and add a "my-key: my-value" pair underneath that. For more about the ObjectMeta schema, take a look at the docs link in the references below.
k edit $(k get po -l app=guestbook -o name | head -n1)
k describe po -l app=guestbook
Notice that one of the pods now has Annotations: my-key: my-val.
Goal: k get po -l app=guestbook returns four pods.
Hint: What does k get po -l app=guestbook -o name | head -n1 produce? Use k get all to see what other targets you might k edit.
Goal: k exec $(k get po -l app=guestbook -o name | head -n1) env contains a new environment variable.
Use
k delete -f https://raw.githubusercontent.com/kubernetes/examples/011284134a724c0ce30f9fa4ec966bdbdefb843e/guestbook/all-in-one/guestbook-all-in-one.yaml
to delete all the resources that were created as part of the setup.
If you see a message like
Unable to connect to the server: dial tcp 192.168.99.103:8443: i/o timeout
It's likely that your KUBECONFIG is still pointing to a different cluster. Try running:
export KUBECONFIG="$(kind get kubeconfig-path --name="workshop")"
If you see a message like
error: SchemaError(io.k8s.api.authorization.v1.SelfSubjectRulesReview): invalid object doesn’t have additional properties
or
error: SchemaError(io.k8s.api.storage.v1beta1.CSIDriverList): invalid object doesn't have additional properties
most likely what's going on is that your version of kubectl is out of date. That might happen if it hasn't been upgraded by homebrew, but also because Docker installs an ancient (v1.10) kubectl version in /usr/local/bin that Homebrew tries to respect. Try:
brew install kubectl
brew upgrade kubectl
brew link --overwrite kubectl
In phase two, we'll write an operator that encompasses the guestbook app, and actuates some changes from above.
git clone https://github.com/sethp-nr/guestbook-workshop
cd guestbook-workshop
export GO111MODULE=on
go mod init guestbook-workshop
Next, we'll need kubebuilder to scaffold out an empty project (with no custom types):
kubebuilder init --domain example.com
Once that completes, we'll have a lot of project infrastructure like a Makefile, Dockerfile, kubernetes config directory, and a main.go. The directory structure should look something like this:
$ tree .
.
├── Dockerfile
├── Makefile
├── PROJECT
├── bin
│ └── manager
├── config
│ ├── certmanager
│ │ ├── certificate.yaml
│ │ ├── kustomization.yaml
│ │ └── kustomizeconfig.yaml
│ ...
├── go.mod
├── go.sum
├── hack
│ └── boilerplate.go.txt
└── main.go
This is everything we need to get started, but we don't yet have an API for users to request an instance of a guest book application from us.
In kubernetes, the suggested API for an operator is to use a Custom Resource Definition (CRD) as a way to introduce new nouns beyond the built-in Pods and Services and Deployments. Let's generate one now:
kubebuilder create api --group webapp --kind GuestBook --version v1 --resource --controller
That command added five new files across two new directories:
$ tree api controllers
api
└── v1
├── groupversion_info.go
├── guestbook_types.go
└── zz_generated.deepcopy.go
controllers
├── guestbook_controller.go
└── suite_test.go
The api/v1 directory contains our new api type information (and some generated function definitions), and controllers is where we'll encode our operational expertiese around the guest book application.
There's also a suite_test.go in the controllers package. One of the main advantages of using kubernetes for operational software is that it's relatively easy to write meaningful tests, and suite_test.go sets up some common test infrastructure you'll be likely to want. This repository contains a template/ directory that includes tests for what we're going to cover today, so let's copy those over now:
cp template/controllers/guestbook_controller_test.go controllers/
At this point, running make test should produce a single failing test (because we haven't implemented any logic yet!).
The template also contains a .vscode directory, accessible with cp -R template/.vscode ., as that tool is a common aesthetic in the Go community. If you're not accustomed to using .vscode, fear not: your favorite $EDITOR should work just fine for this workshop.
The first thing to do in our new controller is replace // your logic here in controllers/guestbook_controller.go with something a little more useful. The first obstacle is knowing what our Reconcile should do: whereas before a Pod or Deployment resource held the desired state, now we've created a GuestBook CRD to hold that information.
But our Reconcile function isn't handed a GuestBook resource, it's just handed a reconcile.Request. Looking at the Godoc we can see that a reconcile request contains just one piece of information:
type Request struct {
// NamespacedName is the name and namespace of the object to reconcile.
types.NamespacedName
}
So we'll need to use the client.Client embedded in our GuestBookReconciler:
// GuestBookReconciler reconciles a GuestBook object
type GuestBookReconciler struct {
client.Client
Log logr.Logger
}
With that, we can ask the API Server for the current state of the object. To do so,
- Add
apierrors "k8s.io/apimachinery/pkg/api/errors"to theimportsection - Let's change the
Reconcilefunction incontrollers/guestbook_controller.goto look like this:
func (r *GuestBookReconciler) Reconcile(req ctrl.Request) (ctrl.Result, error) {
ctx := context.Background()
log := r.Log.WithValues("guestbook", req.NamespacedName)
var guestbook webappv1.GuestBook
err := r.Get(ctx, req.NamespacedName, &guestbook)
if err != nil {
if apierrors.IsNotFound(err) {
return ctrl.Result{}, nil
}
return ctrl.Result{}, err
}
log.Info("Successfully retrieved GuestBook")
return ctrl.Result{}, nil
}
Now run the tests with make test. We still haven't created a GuestBook, so the test will fail, but it should log our fancy new log statement. In addition to the test failure, you should see something like this:
2019-07-30T14:15:37.480-0700 INFO Successfully retrieved GuestBook {"guestbook": "default/test-guestbook"}
Why are we looking up the GuestBook? Why aren't we provided with the spec that we're supposed to be actuating against? One of the key ideas in kubernetes is "level-triggered" behavior: instead of trying to catch every change that happens in the system and react to it, the job of a controller is to reconcile the most up-to-date picture it has and take one step closer to the desired state. Not only is this much easier to reason about, but it gracefully handles failures and "catching up" by re-running the Reconcile.
In this case, our Reconcile is running against a queue of objects, and the object may have changed since it was put in that queue. So instead of putting in the full object that may actually be out-of-date by the time our code runs, we instead make sure we're looking at the current level of the system.
That "current level" is also why we're exiting early if the GuestBook is not found: if someone asked us for a GuestBook instance, but withdrew their request before we could get to it, then we don't need to react to it at all.
Goal: The Reconcile function should use the client's Create method to make a frontend deployment matching the GuestBook resource.
Hint 1: The specific YAML we want our code to match is here: https://github.com/kubernetes/examples/blob/011284134a724c0ce30f9fa4ec966bdbdefb843e/guestbook/frontend-deployment.yaml
Hint 2: Use import appsv1 "k8s.io/api/apps/v1" to get access to the appsv1.Deployment type, and try copying the fields into a variable of that type one at a time
Hint 3: Use import metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" for things like metav1.ObjectMeta{} and metav1.LabelSelector
Hint 4: If you're having trouble with the Resources, try stack overflow: https://stackoverflow.com/a/53002166
Hint 5: The controllers/guestbook_controller_test.go file contains an example of defining a appsv1.Deployment{} resource for the guestbook app
Solution: See _solutions/create-deployment/guestbook_controller.go
Goal: If all the deployments we create use the same label selector, then we'll only ever get one set of frontend pods. Can we change the label selector to work when we have two GuestBooks?
Hint: The provided tests have a suggestion on how to change the labels and selector
Goal: In addition to a Deployment, Reconcile should also create the frontend Service. If you're using the provided tests, there is a "pending" test (PIt) for this behavior.
Hint: The YAML we want to match is: https://github.com/kubernetes/examples/blob/011284134a724c0ce30f9fa4ec966bdbdefb843e/guestbook/frontend-service.yaml
So far we have expressed our intention to the system that there should be a GuestBook app (the instance of the GuestBook resource), but we haven't made it very easy for users of our API to affect what that app looks like. A common desire is scaling the number of replicas backing an HTTP service, so let's implement that.
First, we need a place to write that down. Open up the api/guestbook_types.go file and add some detail to the GuestBookSpec
// GuestBookSpec defines the desired state of GuestBook
type GuestBookSpec struct {
// INSERT ADDITIONAL SPEC FIELDS - desired state of cluster
// Important: Run "make" to regenerate code after modifying this file
Frontend FrontendSpec `json:"frontend"`
}
type FrontendSpec struct {
// +optional
Replicas *int32 `json:"replicas,omitempty"` // If it's nil, we'll use a default
}
Let's also update our config/samples/webapp_v1_guestbook.yaml to match our new schema:
apiVersion: webapp.example.com/v1
kind: GuestBook
metadata:
name: guestbook-sample
spec:
frontend:
replicas: 3
and to prove that we've successfully put the data in and taken the data out, let's change our controller's log to:
log.Info("Successfully retrieved Guestbook", "replicas", guestbook.Spec.Frontend.Replicas)
Goal: The deployment should be created with the replicas from the Spec. If you're using the provided tests, you can check by uncommenting the line following the TODO and change the FIt to just It.
Goal: If we change the spec'd replicas, the deployment should be updated.
Hint: You'll need to Get the expected Deployment and, if it exists, Update it instead of calling Create
Solution: See _solutions/update-deployment/guestbook_controller.go
To see our hard work running against a real environment, let's create all the pieces we need except the deployment:
cat goal/{redis*,frontend-service}.yaml | k create -f -
And then we'll tell kubernetes about our custom type, and run our controller pointed at our kind cluster:
make install
make run
In a different terminal, let's ask for a GuestBook instance:
k apply -f config/samples/
And now we stand back and watch as the deployment is created on our behalf. Finally, we can run
k port-forward service/frontend 8080:80
and visit http://localhost:8080 to view the newly automated guestbook in all its glory.
After you're all done, don't forget to clean up:
kind delete cluster --name=workshop
We left out a lot that's really well covered in the Kubecon EU workshop linked at the top. That includes:
- The CreateOrUpdate function, which is useful for keeping code simple for mutable resources like Deployments
- Getting the GuestBook right: we can run a lot of independent frontends, but they'll all currently talk to the same redis backend
- Status updates on our guestbook resource
- Controller references for speeding up how quickly we observe status
- Managing the Guestbook service, as well as all the Redis components
- Making the GuestBook CRD easier to use by putting information right in the
kubectl getoutput - And a lot more of the "why," especially in the slides
That same repo also has another branch for building a MongoDB operator, and the Kubebuilder book is largely a tutorial on how to use kubebuilder to implement a CronJob type in kubernetes.
- The slides from the original workshop: https://storage.googleapis.com/kubebuilder-workshops/kubecon-eu-2019.pdf
- Controller runtime godoc: https://godoc.org/sigs.k8s.io/controller-runtime/
- Kubernetes API reference: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.15/
- Kubernetes API Godoc
- ObjectMeta (cross-object metadata): https://godoc.org/k8s.io/apimachinery/pkg/apis/meta/v1#ObjectMeta
- Deployments: https://godoc.org/k8s.io/api/apps/v1#Deployment
- Services: https://godoc.org/k8s.io/api/core/v1#Service
For more detail on some kubernetes concepts:
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