Golang Based Operator Tutorial
This guide walks through an example of building a simple memcached-operator using the operator-sdk CLI tool and controller-runtime library API.
NOTE: For the SDK versions prior to v0.19.0
please consult the legacy docs for the legacy CLI and project.
Prerequisites
- [Install operator-sdk][operator_install] and its prequisites.
- Access to a Kubernetes v1.11.3+ cluster (v1.16.0+ if using
apiextensions.k8s.io/v1
CRDs). - User logged with admin permission. See how to grant yourself cluster-admin privileges or be logged in as admin
Create a new project
Use the CLI to create a new memcached-operator project:
$ mkdir -p $HOME/projects/memcached-operator
$ cd $HOME/projects/memcached-operator
# we'll use a domain of example.com
# so all API groups will be <group>.example.com
$ operator-sdk init --domain=example.com --repo=github.com/example-inc/memcached-operator
To learn about the project directory structure, see Kubebuilder project layout doc.
A note on dependency management
operator-sdk init
generates a go.mod
file to be used with Go modules. The --repo=<path>
flag is required when creating a project outside of $GOPATH/src
, as scaffolded files require a valid module path. Ensure you activate module support by running export GO111MODULE=on
before using the SDK.
Manager
The main program for the operator main.go
initializes and runs the Manager.
See the Kubebuilder entrypoint doc for more details on how the manager registers the Scheme for the custom resource API defintions, and sets up and runs controllers and webhooks.
The Manager can restrict the namespace that all controllers will watch for resources:
mgr, err := ctrl.NewManager(cfg, manager.Options{Namespace: namespace})
By default this will be the namespace that the operator is running in. To watch all namespaces leave the namespace option empty:
mgr, err := ctrl.NewManager(cfg, manager.Options{Namespace: ""})
It is also possible to use the MultiNamespacedCacheBuilder to watch a specific set of namespaces:
var namespaces []string // List of Namespaces
// Create a new Cmd to provide shared dependencies and start components
mgr, err := ctrl.NewManager(cfg, manager.Options{
NewCache: cache.MultiNamespacedCacheBuilder(namespaces),
})
Operator scope
Read the operator scope documentation on how to run your operator as namespace-scoped vs cluster-scoped.
Multi-Group APIs
Before creating an API and controller, consider if your operator’s API requires multiple groups. If yes then add the line multigroup: true
in the PROJECT
file which should look like the following:
domain: example.com
layout: go.kubebuilder.io/v2
multigroup: true
...
For multi-group projects, the API Go type files are created under apis/<group>/<version>/
and the controllers under controllers/<group>/
.
This guide will cover the default case of a single group API.
Create a new API and Controller
Create a new Custom Resource Definition(CRD) API with group cache
version v1alpha1
and Kind Memcached. When prompted, enter yes y
for creating both the resource and controller.
$ operator-sdk create api --group=cache --version=v1alpha1 --kind=Memcached
Create Resource [y/n]
y
Create Controller [y/n]
y
Writing scaffold for you to edit...
api/v1alpha1/memcached_types.go
controllers/memcached_controller.go
...
This will scaffold the Memcached resource API at api/v1alpha1/memcached_types.go
and the controller at controllers/memcached_controller.go
.
See the API terminology doc for details on the CRD API conventions.
To understand the API Go types and controller scaffolding see the Kubebuilder api doc and controller doc.
Define the API
Define the API for the Memcached Custom Resource(CR) by modifying the Go type definitions at api/v1alpha1/memcached_types.go
to have the following spec and status:
// MemcachedSpec defines the desired state of Memcached
type MemcachedSpec struct {
// +kubebuilder:validation:Minimum=0
// Size is the size of the memcached deployment
Size int32 `json:"size"`
}
// MemcachedStatus defines the observed state of Memcached
type MemcachedStatus struct {
// Nodes are the names of the memcached pods
Nodes []string `json:"nodes"`
}
Add the +kubebuilder:subresource:status
marker to add a status subresource to the CRD manifest so that the controller can update the CR status without changing the rest of the CR object:
// Memcached is the Schema for the memcacheds API
// +kubebuilder:subresource:status
type Memcached struct {
metav1.TypeMeta `json:",inline"`
metav1.ObjectMeta `json:"metadata,omitempty"`
Spec MemcachedSpec `json:"spec,omitempty"`
Status MemcachedStatus `json:"status,omitempty"`
}
After modifying the *_types.go
file always run the following command to update the generated code for that resource type:
$ make generate
The above makefile target will invoke the controller-gen utility to update the api/v1alpha1/zz_generated.deepcopy.go
file to ensure our API’s Go type definitons implement the runtime.Object
interface that all Kind types must implement.
Generating CRD manifests
Once the API is defined with spec/status fields and CRD validation markers, the CRD manifests can be generated and updated with the following command:
$ make manifests
This makefile target will invoke controller-gen to generate the CRD manifests at config/crd/bases/cache.example.com_memcacheds.yaml
.
OpenAPI validation
OpenAPIv3 schemas are added to CRD manifests in the spec.validation
block when the manifests are generated. This validation block allows Kubernetes to validate the properties in a Memcached Custom Resource when it is created or updated.
Markers (annotations) are available to configure validations for your API. These markers will always have a +kubebuilder:validation
prefix.
Usage of markers in API code is discussed in the kubebuilder CRD generation and marker documentation. A full list of OpenAPIv3 validation markers can be found here.
To learn more about OpenAPI v3.0 validation schemas in CRDs, refer to the Kubernetes Documentation.
Implement the Controller
For this example replace the generated controller file controllers/memcached_controller.go
with the example memcached_controller.go
implementation.
The example controller executes the following reconciliation logic for each Memcached CR:
- Create a memcached Deployment if it doesn’t exist
- Ensure that the Deployment size is the same as specified by the Memcached CR spec
- Update the Memcached CR status using the status writer with the names of the memcached pods
The next two subsections explain how the controller watches resources and how the reconcile loop is triggered. Skip to the Build section to see how to build and run the operator.
Resources watched by the Controller
The SetupWithManager()
function in controllers/memcached_controller.go
specifies how the controller is built to watch a CR and other resources that are owned and managed by that controller.
func (r *MemcachedReconciler) SetupWithManager(mgr ctrl.Manager) error {
return ctrl.NewControllerManagedBy(mgr).
For(&cachev1alpha1.Memcached{}).
Owns(&appsv1.Deployment{}).
Complete(r)
}
The NewControllerManagedBy()
provides a controller builder that allows various controller configurations.
For(&cachev1alpha1.Memcached{})
specifies the Memcached type as the primary resource to watch. For each Memcached type Add/Update/Delete event the reconcile loop will be sent a reconcile Request
(a namespace/name key) for that Memcached object.
Owns(&appsv1.Deployment{})
specifies the Deployments type as the secondary resource to watch. For each Deployment type Add/Update/Delete event, the event handler will map each event to a reconcile Request
for the owner of the Deployment. Which in this case is the Memcached object for which the Deployment was created.
Controller Configurations
There are a number of other useful configurations that can be made when initialzing a controller. For more details on these configurations consult the upstream builder and controller godocs.
Set the max number of concurrent Reconciles for the controller via the
MaxConcurrentReconciles
option. Defaults to 1.func (r *MemcachedReconciler) SetupWithManager(mgr ctrl.Manager) error {
return ctrl.NewControllerManagedBy(mgr).
For(&cachev1alpha1.Memcached{}).
Owns(&appsv1.Deployment{}).
WithOptions(controller.Options{
MaxConcurrentReconciles: 2,
}).
Complete(r)
}
Filter watch events using predicates
- Choose the type of EventHandler to change how a watch event will translate to reconcile requests for the reconcile loop. For operator relationships that are more complex than primary and secondary resources, the
EnqueueRequestsFromMapFunc
handler can be used to transform a watch event into an arbitrary set of reconcile requests.
Reconcile loop
Every Controller has a Reconciler object with a Reconcile()
method that implements the reconcile loop. The reconcile loop is passed the Request
argument which is a Namespace/Name key used to lookup the primary resource object, Memcached, from the cache:
import (
ctrl "sigs.k8s.io/controller-runtime"
cachev1alpha1 "github.com/example-inc/memcached-operator/api/v1alpha1"
...
)
func (r *MemcachedReconciler) Reconcile(req ctrl.Request) (ctrl.Result, error) {
// Lookup the Memcached instance for this reconcile request
memcached := &cachev1alpha1.Memcached{}
err := r.Get(ctx, req.NamespacedName, memcached)
...
}
Based on the return values, Result
and error, the Request
may be requeued and the reconcile loop may be triggered again:
// Reconcile successful - don't requeue
return ctrl.Result{}, nil
// Reconcile failed due to error - requeue
return ctrl.Result{}, err
// Requeue for any reason other than an error
return ctrl.Result{Requeue: true}, nil
You can set the Result.RequeueAfter
to requeue the Request
after a grace period as well:
import "time"
// Reconcile for any reason other than an error after 5 seconds
return ctrl.Result{RequeueAfter: time.Second*5}, nil
Note: Returning Result
with RequeueAfter
set is how you can periodically reconcile a CR.
For a guide on Reconcilers, Clients, and interacting with resource Events, see the Client API doc.
Specify permissions and generate RBAC manifests
The controller needs certain RBAC permissions to interact with the resources it manages. These are specified via [RBAC markers][rbac_markers] like the following:
// +kubebuilder:rbac:groups=cache.example.com,resources=memcacheds,verbs=get;list;watch;create;update;patch;delete
// +kubebuilder:rbac:groups=cache.example.com,resources=memcacheds/status,verbs=get;update;patch
// +kubebuilder:rbac:groups=apps,resources=deployments,verbs=get;list;watch;create;update;patch;delete
// +kubebuilder:rbac:groups=core,resources=pods,verbs=get;list;
func (r *MemcachedReconciler) Reconcile(req ctrl.Request) (ctrl.Result, error) {
The ClusterRole
manifest at config/rbac/role.yaml
is generated from the above markers via controller-gen with the following command:
$ make manifests
Build and run the operator
Before running the operator, the CRD must be registered with the Kubernetes apiserver:
$ make install
Once this is done, there are two ways to run the operator:
- As Go program outside a cluster
- As a Deployment inside a Kubernetes cluster
Configuring your test environment
Projects are scaffolded with unit tests that utilize the envtest library, which requires certain Kubernetes server binaries be present locally. Installation instructions can be found here.
1. Run locally outside the cluster
To run the operator locally execute the following command:
$ make run ENABLE_WEBHOOKS=false
2. Run as a Deployment inside the cluster
Build and push the image
Before building the operator image, ensure the generated Dockerfile references the base image you want. You can change the default “runner” image gcr.io/distroless/static:nonroot
by replacing its tag with another, for example alpine:latest
, and removing the USER: nonroot:nonroot
directive.
To build and push the operator image, use the following make
commands. Make sure to modify the IMG
arg in the example below to reference a container repository that you have access to. You can obtain an account for storing containers at repository sites such quay.io or hub.docker.com. This example uses quay.
Build the image:
$ export USERNAME=<quay-username>
$ make docker-build IMG=quay.io/$USERNAME/memcached-operator:v0.0.1
Push the image to a repository:
$ make docker-push IMG=quay.io/$USERNAME/memcached-operator:v0.0.1
Note: The name and tag of the image (IMG=<some-registry>/<project-name>:tag
) in both the commands can also be set in the Makefile. Modify the line which has IMG ?= controller:latest
to set your desired default image name.
Deploy the operator
For this example we will run the operator in the default
namespace which can be specified for all resources in config/default/kustomization.yaml
:
$ cd config/default/ && kustomize edit set namespace "default" && cd ../..
Run the following to deploy the operator. This will also install the RBAC manifests from config/rbac
.
$ make deploy IMG=quay.io/$USERNAME/memcached-operator:v0.0.1
NOTE If you have enabled webhooks in your deployments, you will need to have cert-manager already installed in the cluster or make deploy
will fail when creating the cert-manager resources.
Verify that the memcached-operator is up and running:
$ kubectl get deployment
NAME READY UP-TO-DATE AVAILABLE AGE
memcached-operator-controller-manager 1/1 1 1 8m
3. Deploy your Operator with the Operator Lifecycle Manager (OLM)
OLM will manage creation of most if not all resources required to run your operator, using a bit of setup from other operator-sdk
commands. Check out the docs for more information.
Create a Memcached CR
Update the sample Memcached CR manifest at config/samples/cache_v1alpha1_memcached.yaml
and define the spec
as the following:
apiVersion: cache.example.com/v1alpha1
kind: Memcached
metadata:
name: memcached-sample
spec:
size: 3
Create the CR:
$ kubectl apply -f config/samples/cache_v1alpha1_memcached.yaml
Ensure that the memcached operator creates the deployment for the sample CR with the correct size:
$ kubectl get deployment
NAME READY UP-TO-DATE AVAILABLE AGE
memcached-operator-controller-manager 1/1 1 1 8m
memcached-sample 3/3 3 3 1m
Check the pods and CR status to confirm the status is updated with the memcached pod names:
$ kubectl get pods
NAME READY STATUS RESTARTS AGE
memcached-sample-6fd7c98d8-7dqdr 1/1 Running 0 1m
memcached-sample-6fd7c98d8-g5k7v 1/1 Running 0 1m
memcached-sample-6fd7c98d8-m7vn7 1/1 Running 0 1m
$ kubectl get memcached/memcached-sample -o yaml
apiVersion: cache.example.com/v1alpha1
kind: Memcached
metadata:
clusterName: ""
creationTimestamp: 2018-03-31T22:51:08Z
generation: 0
name: memcached-sample
namespace: default
resourceVersion: "245453"
selfLink: /apis/cache.example.com/v1alpha1/namespaces/default/memcacheds/memcached-sample
uid: 0026cc97-3536-11e8-bd83-0800274106a1
spec:
size: 3
status:
nodes:
- memcached-sample-6fd7c98d8-7dqdr
- memcached-sample-6fd7c98d8-g5k7v
- memcached-sample-6fd7c98d8-m7vn7
Update the size
Update config/samples/cache_v1alpha1_memcached.yaml
to change the spec.size
field in the Memcached CR from 3 to 5:
$ kubectl patch memcached memcached-sample -p '{"spec":{"size": 5}}' --type=merge
Confirm that the operator changes the deployment size:
$ kubectl get deployment
NAME READY UP-TO-DATE AVAILABLE AGE
memcached-operator-controller-manager 1/1 1 1 10m
memcached-sample 5/5 5 5 3m
Cleanup
$ kubectl delete -f config/samples/cache_v1alpha1_memcached.yaml
$ kubectl delete deployments,service -l control-plane=controller-manager
$ kubectl delete role,rolebinding --all
Further steps
The following guides build off the operator created in this example, adding advanced features:
Also see the advanced topics doc for more use cases and under the hood details.
Last modified August 5, 2020: update docs to reflect call to NewManager (#3651) (c9348b5e)