Creating custom kubernetes controller in Go
Before Implementing custom controller in Go let's first understand what is Kubernetes Controller and Customer Resource Definition (CRD)
Kubernetes Controller
A Kubernetes Controller is component of control plane that continuously monitors state of kubernetes cluster and takes action to ensure that the actual state of cluster matches the desired state.It makes changes attempting to move current state closer to desired state.
Customer Resource Definition (CRD)
Custom Resource Definition (CRD) is a way to extend the Kubernetes API to create our own custom resources. These custom resources can represent any kind of object which we want to manage within our Kubernetes cluster.
Creating own Custom Resource Definition (CRD)
apiVersion: apiextensions.k8s.io/v1 kind: CustomResourceDefinition metadata: name: my-crds.com.shivam.kumar spec: group: com.shivam.kumar names: kind: my-crd plural: my-crds scope: Namespaced versions: - name: v1 served: true storage: true schema: openAPIV3Schema: type: object properties: apiVersion: type: string kind: type: string metadata: type: object spec: type: object properties: description: type: string
Apply this file using the kubectl command and when we see the available crds in our cluster we can see the crd which we created-
Creating Custom Resource (CR)
apiVersion: com.shivam.kumar/v1 kind: my-crd metadata: name: my-custom-resource spec: description: "My CRD instance"
Apply this file using the kubectl command
Now let's move on to create own custom controller
Creating custom kubernetes controller
package main import ( "context" "fmt" "path/filepath" metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" "k8s.io/apimachinery/pkg/apis/meta/v1/unstructured" "k8s.io/apimachinery/pkg/runtime" "k8s.io/apimachinery/pkg/runtime/schema" "k8s.io/apimachinery/pkg/watch" "k8s.io/client-go/dynamic" "k8s.io/client-go/rest" "k8s.io/client-go/tools/cache" "k8s.io/client-go/tools/clientcmd" "k8s.io/client-go/util/homedir" ) func main() { var kubeconfig string if home := homedir.HomeDir(); home != "" { kubeconfig = filepath.Join(home, ".kube", "config") } config, err := clientcmd.BuildConfigFromFlags("", kubeconfig) if err != nil { fmt.Println("Falling back to in-cluster config") config, err = rest.InClusterConfig() if err != nil { panic(err.Error()) } } dynClient, err := dynamic.NewForConfig(config) if err != nil { panic(err.Error()) } thefoothebar := schema.GroupVersionResource{Group: "com.shivam.kumar", Version: "v1", Resource: "my-crds"} informer := cache.NewSharedIndexInformer( &cache.ListWatch{ ListFunc: func(options metav1.ListOptions) (runtime.Object, error) { return dynClient.Resource(thefoothebar).Namespace("").List(context.TODO(), options) }, WatchFunc: func(options metav1.ListOptions) (watch.Interface, error) { return dynClient.Resource(thefoothebar).Namespace("").Watch(context.TODO(), options) }, }, &unstructured.Unstructured{}, 0, cache.Indexers{}, ) informer.AddEventHandler(cache.ResourceEventHandlerFuncs{ AddFunc: func(obj interface{}) { fmt.Println("Add event detected:", obj) }, UpdateFunc: func(oldObj, newObj interface{}) { fmt.Println("Update event detected:", newObj) }, DeleteFunc: func(obj interface{}) { fmt.Println("Delete event detected:", obj) }, }) stop := make(chan struct{}) defer close(stop) go informer.Run(stop) if !cache.WaitForCacheSync(stop, informer.HasSynced) { panic("Timeout waiting for cache sync") } fmt.Println("Custom Resource Controller started successfully") <-stop }
Now when we build this Go Program and run it-
go build -o k8s-controller .
./k8s-controller
Now whenever we add, update or delete custom resource created above we get active logs of it in our terminal. so this means our controller is monitoring our CRD.
The above is the detailed content of Creating custom kubernetes controller in Go. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Golang is better than C in concurrency, while C is better than Golang in raw speed. 1) Golang achieves efficient concurrency through goroutine and channel, which is suitable for handling a large number of concurrent tasks. 2)C Through compiler optimization and standard library, it provides high performance close to hardware, suitable for applications that require extreme optimization.

Goisidealforbeginnersandsuitableforcloudandnetworkservicesduetoitssimplicity,efficiency,andconcurrencyfeatures.1)InstallGofromtheofficialwebsiteandverifywith'goversion'.2)Createandrunyourfirstprogramwith'gorunhello.go'.3)Exploreconcurrencyusinggorout

Golang is suitable for rapid development and concurrent scenarios, and C is suitable for scenarios where extreme performance and low-level control are required. 1) Golang improves performance through garbage collection and concurrency mechanisms, and is suitable for high-concurrency Web service development. 2) C achieves the ultimate performance through manual memory management and compiler optimization, and is suitable for embedded system development.

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.

The performance differences between Golang and C are mainly reflected in memory management, compilation optimization and runtime efficiency. 1) Golang's garbage collection mechanism is convenient but may affect performance, 2) C's manual memory management and compiler optimization are more efficient in recursive computing.

Golang and C each have their own advantages in performance competitions: 1) Golang is suitable for high concurrency and rapid development, and 2) C provides higher performance and fine-grained control. The selection should be based on project requirements and team technology stack.

Golangisidealforbuildingscalablesystemsduetoitsefficiencyandconcurrency,whilePythonexcelsinquickscriptinganddataanalysisduetoitssimplicityandvastecosystem.Golang'sdesignencouragesclean,readablecodeanditsgoroutinesenableefficientconcurrentoperations,t
