Building a Kubernetes Operator in Go

Table of Contents

  1. Introduction
  2. Prerequisites
  3. Setting Up the Development Environment
  4. Creating a Custom Resource Definition
  5. Implementing the Operator
  6. Deploying the Operator
  7. Summary

Introduction

In this tutorial, we will learn how to build a Kubernetes Operator using the Go programming language. Kubernetes Operators are controllers that extend the functionality of the Kubernetes API to manage and operate custom resources. By the end of this tutorial, you will be able to create a simple Kubernetes Operator that demonstrates the basic principles of building and deploying custom controllers.

Prerequisites

To follow along with this tutorial, you should have:

  • Basic knowledge of Kubernetes concepts, such as pods, services, and deployments.
  • A Kubernetes cluster, either locally or remotely, with kubectl configured to access the cluster.

Setting Up the Development Environment

Before we start building the Kubernetes Operator, we need to set up our development environment. Follow these steps to get started:

  1. Install Go by downloading the binary distribution for your operating system from the official website.
  2. Set up your Go workspace by defining the GOPATH environment variable and adding the bin directory to your PATH environment variable.

  3. Install the dep dependency management tool by running the following command:

     $ go get -u github.com/golang/dep/cmd/dep
    
  4. Create a new directory for your project and navigate to it:

     $ mkdir kubernetes-operator && cd kubernetes-operator
    
  5. Initialize a new Go module by running the following command:

     $ go mod init github.com/your-username/kubernetes-operator
    

Creating a Custom Resource Definition

The first step in building a Kubernetes Operator is defining a custom resource that represents the object you want to manage. In our example, we will create a simple custom resource called Foo that has a single property called Message. To define the Kubernetes API schema for our custom resource, follow these steps:

  1. Create a new directory called api inside your project directory:

     $ mkdir api
    
  2. Inside the api directory, create a new file called types.go and add the following code:

     package v1
        
     import metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
        
     // +genclient
     // +k8s:deepcopy-gen:interfaces=k8s.io/apimachinery/pkg/runtime.Object
        
     type Foo struct {
         metav1.TypeMeta   `json:",inline"`
         metav1.ObjectMeta `json:"metadata,omitempty"`
        
         Spec   FooSpec   `json:"spec,omitempty"`
         Status FooStatus `json:"status,omitempty"`
     }
        
     type FooSpec struct {
         Message string `json:"message,omitempty"`
     }
        
     type FooStatus struct {
         Ready bool `json:"ready,omitempty"`
     }
    

    The above code defines a struct Foo with TypeMeta and ObjectMeta fields, which are required by Kubernetes for managing resources. It also defines FooSpec and FooStatus structs to represent the desired state and current status of the Foo resource.

  3. Create a new file called register.go inside the api directory and add the following code:

     package v1
        
     import (
         metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
         "k8s.io/apimachinery/pkg/runtime"
         "k8s.io/apimachinery/pkg/runtime/schema"
         "k8s.io/apimachinery/pkg/runtime/serializer"
     )
        
     const (
         GroupName = "your-group"
         Version   = "v1"
     )
        
     var (
         SchemeGroupVersion = schema.GroupVersion{
             Group:   GroupName,
             Version: Version,
         }
         SchemeBuilder = runtime.NewSchemeBuilder(addKnownTypes)
         AddToScheme   = SchemeBuilder.AddToScheme
         Codec         = serializer.NewCodecFactory(SchemeBuilder)
     )
        
     func addKnownTypes(scheme *runtime.Scheme) error {
         scheme.AddKnownTypes(
             SchemeGroupVersion,
             &Foo{},
             &FooList{},
         )
         metav1.AddToGroupVersion(scheme, SchemeGroupVersion)
         return nil
     }
    

    The above code registers our custom resource types with the Kubernetes API server.

  4. Next, create a new file called doc.go inside the api directory and add the following code:

     // +k8s:deepcopy-gen=package
     // +k8s:openapi-gen=true
        
     // Package v1 is the v1 version of the API.
     // +groupName=your-group
     package v1
    

    The comments above the code instruct the Kubernetes code generators on how to generate the deep copy functions and OpenAPI documentation for our custom resource.

  5. Update the go.mod file located in the root of your project directory with the required dependencies:

     module github.com/your-username/kubernetes-operator
        
     go 1.15
        
     require (
         k8s.io/apimachinery v0.19.4
         k8s.io/client-go v0.19.4
         k8s.io/code-generator v0.19.4
         k8s.io/klog v2.5.0+incompatible
         k8s.io/utils v0.19.4
     )
    

Implementing the Operator

Now that we have defined our custom resource, it’s time to implement the logic for our Kubernetes Operator. In this example, our Operator will watch for changes to Foo objects and update their Status field accordingly. Follow these steps to implement the Operator:

  1. Create a new directory called controller inside your project directory:

     $ mkdir controller
    
  2. Inside the controller directory, create a new file called foo_controller.go and add the following code:

     package controller
        
     import (
         "context"
         "fmt"
         "reflect"
        
         v1 "github.com/your-username/kubernetes-operator/api/v1"
         metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
         "k8s.io/apimachinery/pkg/labels"
         "k8s.io/apimachinery/pkg/runtime"
         "k8s.io/apimachinery/pkg/types"
         "k8s.io/apimachinery/pkg/util/runtime"
         "k8s.io/apimachinery/pkg/util/wait"
         "k8s.io/client-go/tools/cache"
         "k8s.io/client-go/util/workqueue"
     )
        
     type FooController struct {
         // Add necessary clientsets and informers for interacting with the Kubernetes API
         // ...
        
         // Add a work queue to manage the events
         // ...
     }
        
     func NewFooController() *FooController {
         // Initialize and return a new instance of FooController
         // ...
     }
        
     func (c *FooController) Run(stopCh <-chan struct{}) error {
         defer runtime.HandleCrash()
        
         // Start informers and controllers for the custom resources
         // ...
        
         // Start the worker to process events from the work queue
         go wait.Until(c.worker, time.Second, stopCh)
        
         // Wait until the provided stopCh is closed
         <-stopCh
        
         // Cleanup resources before returning
         // ...
     }
        
     func (c *FooController) worker() {
         for c.processNextItem() {
             // Continuously process items from the work queue
         }
     }
        
     func (c *FooController) processNextItem() bool {
         // Retrieve the next item from the work queue
         // ...
        
         // Process the item
         // ...
        
         // Return true if the item was successfully processed, or false if there was an error
         // ...
     }
        
     func (c *FooController) handleObject(obj interface{}) {
         // Cast the object to the correct type
         foo := obj.(*v1.Foo)
        
         // Log the received object for debugging purposes
         fmt.Printf("Processing Foo: %s\n", foo.Name)
        
         // Update the status of the Foo object based on its current state
         // ...
     }
        
     func (c *FooController) enqueueFoo(obj interface{}) {
         // Add the received object to the work queue for further processing
         // ...
     }
    

    The above code outlines the basic structure of our FooController, including the necessary clientsets, informers, and work queue. It also includes the worker function that continuously processes items from the work queue, along with placeholder functions for handling objects and updating statuses.

  3. Update the go.mod file located in the root of your project directory with the required dependencies:

     module github.com/your-username/kubernetes-operator
        
     go 1.15
        
     require (
         k8s.io/api v0.19.4
         k8s.io/apimachinery v0.19.4
         k8s.io/client-go v0.19.4
         k8s.io/code-generator v0.19.4
         k8s.io/klog v2.5.0+incompatible
         k8s.io/utils v0.19.4
     )
    

Deploying the Operator

To deploy the Kubernetes Operator, follow these steps:

  1. Build the Operator binary by running the following command:

     $ go build -o operator github.com/your-username/kubernetes-operator
    
  2. Create a new Kubernetes namespace for your Operator:

     $ kubectl create namespace operator
    
  3. Deploy the Operator to the Kubernetes cluster:

     $ kubectl apply -f operator.yaml
    
  4. Verify that the Operator is running and managing the custom resources:

     $ kubectl get pods -n operator
    

    You should see the Operator pod running successfully.

Summary

In this tutorial, you learned how to build a Kubernetes Operator using the Go programming language. We started by defining a custom resource and its API schema, then implemented the logic for the Operator to manage the custom resource. Finally, we deployed the Operator to a Kubernetes cluster.

By following this tutorial, you should have a good understanding of the basic principles and steps involved in building a Kubernetes Operator in Go. You can now explore more advanced topics and features related to Operators and customize them to fit your specific use cases.

Remember to clean up any resources you created during this tutorial to avoid unnecessary costs or clutter in your Kubernetes cluster.