How do I use contexts with Kubernetes clients?

Using contexts with Kubernetes clients in Go is crucial for managing timeouts and cancellation when making API calls. Contexts allow you to control the lifecycle of operations, enabling your applications to handle network delays, respond to shutdown signals, and clean up resources efficiently.

package main import ( "context" "fmt" "time" "k8s.io/client-go/kubernetes" "k8s.io/client-go/tools/clientcmd" ) func main() { // Load kubeconfig config, err := clientcmd.BuildConfigFromFlags("", "/path/to/kubeconfig") if err != nil { panic(err.Error()) } // Create a new clientset clientset, err := kubernetes.NewForConfig(config) if err != nil { panic(err.Error()) } // Create a context with a timeout ctx, cancel := context.WithTimeout(context.Background(), time.Second*10) defer cancel() // Ensure resources are cleaned up // Use context with Kubernetes client pods, err := clientset.CoreV1().Pods("default").List(ctx, metav1.ListOptions{}) if err != nil { fmt.Printf("Error listing pods: %v\n", err) return } fmt.Printf("Found %d pods in the 'default' namespace\n", len(pods.Items)) }

Go Kubernetes context API client-go cancellation timeout resource management

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?