kubernetes-skill

Kubernetes cluster management uses kubectl to deploy, scale, and monitor pods and deployments across namespaces. You can apply manifests, check pod status, view logs, and perform rollout operations to manage containerized workloads end to end.

Yes. Kubectl automation supports namespace and context awareness, allowing you to manage resources—pods, deployments, services, configmaps, and secrets—across multiple namespaces in a single workflow with namespace-scoped operations.

Kubernetes troubleshooting uses kubectl to inspect logs, events, and pod state; port-forward to services; and attach debug containers. These diagnostic tools help identify deployment failures, connectivity issues, and runtime problems.

Kubernetes cluster administration requires kubectl availability, a valid kubeconfig file for authentication, and access to the target cluster. These prerequisites enable context switching, namespace operations, and resource management.

Deployment operations include applying YAML manifests with kubectl apply, scaling replicas up or down, and managing rollouts. These procedural tasks automate application deployment and capacity adjustments across the cluster.

Yes. Kubectl manages ConfigMaps and Secrets as standard Kubernetes resources, enabling you to store and inject environment variables, configuration data, and sensitive credentials into pods during deployment.