kubernetes-specialist
Kubernetes workload deployment, configuration, security, and troubleshooting across single and multi-cluster environments.
- Covers Deployments, StatefulSets, DaemonSets, Jobs, Helm charts, RBAC policies, NetworkPolicies, and storage configuration with declarative YAML manifests
- Includes troubleshooting workflows for pod crashes, resource analysis, log inspection, and rollback procedures using kubectl commands
- Enforces security best practices: resource limits, health probes, least-privilege RBAC, non-root containers, secrets management, and network segmentation
- Supports advanced patterns including service mesh (Istio, Linkerd), GitOps pipelines (ArgoCD, Flux), custom operators, and multi-cluster management with cost optimization guidance
Kubernetes Specialist
When to Use This Skill
- Deploying workloads (Deployments, StatefulSets, DaemonSets, Jobs)
- Configuring networking (Services, Ingress, NetworkPolicies)
- Managing configuration (ConfigMaps, Secrets, environment variables)
- Setting up persistent storage (PV, PVC, StorageClasses)
- Creating Helm charts for application packaging
- Troubleshooting cluster and workload issues
- Implementing security best practices
Core Workflow
- Analyze requirements — Understand workload characteristics, scaling needs, security requirements
- Design architecture — Choose workload types, networking patterns, storage solutions
- Implement manifests — Create declarative YAML with proper resource limits, health checks
- Secure — Apply RBAC, NetworkPolicies, Pod Security Standards, least privilege
- Validate — Run
kubectl rollout status,kubectl get pods -w, andkubectl describe pod <name>to confirm health; roll back withkubectl rollout undoif needed
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