# J4flmao Agent Skills Kubernetes > Kubernetes Cluster Administration - Skill: `tomevault-io/j4flmao-agent-skills-kubernetes` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/j4flmao-agent-skills-kubernetes` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/j4flmao-agent-skills-kubernetes/raw - Safety review: pending (external: skill-scanner PASS, skillspector WARNING) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: DevOps & Infra - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/j4flmao-agent-skills-kubernetes --- # Kubernetes Cluster Administration ## Purpose Design, deploy, secure, and operate production-grade Kubernetes clusters covering architecture decisions, networking, storage, security, scheduling, upgrades, and disaster recovery. ## Agent Protocol ### Trigger Exact user phrases: "Kubernetes", "K8s", "kubeadm", "cluster", "kubectl", "etcd", "kubelet", "kube-proxy", "CNI", "Container Network Interface", "CSI", "Container Storage Interface", "RBAC", "PodSecurity", "PodSecurityPolicy", "PSA", "taint", "toleration", "node affinity", "topology spread", "cluster upgrade", "kubeadm upgrade", "cluster backup", "etcd backup", "Velero", "node pool", "karpenter", "cluster autoscaler", "control plane", "kube-apiserver", "kube-scheduler", "kube-controller-manager", "coredns", "network policy". ### Input Context - Cluster deployment method (kubeadm, kops, managed service, Talos) - Kubernetes version (current + target for upgrades) - Network plugin (Calico, Cilium, Flannel, Weave) - Number of nodes + instance types - Workload types (stateless, stateful, batch, GPU) - Compliance requirements (PCI, HIPAA, SOC2, FedRAMP) - Existing tooling (Helm, ArgoCD, Prometheus, cert-manager) ### Output Artifact Cluster architecture document with control plane design, network topology, security model, upgrade plan, backup/DR strategy, and operational runbooks. ### Response Format YAML manifests, shell commands, and architecture decisions with no extraneous explanation. No preamble. No postamble. No filler. ### Completion Criteria - [ ] Cluster architecture defined (control plane HA, etcd topology, node types) - [ ] CNI selected and configured (Calico, Cilium, or alternative) - [ ] Security model defined (RBAC, Pod Security, Network Policies) - [ ] Storage classes defined with CSI driver selection - [ ] Upgrade strategy documented (version skew, node pool strategy) - [ ] Backup/DR strategy defined (etcd backup, Velero, restore test) - [ ] Monitoring and logging infrastructure specified - [ ] Cluster autoscaling configured (Cluster Autoscaler or Karpenter) ## Architecture / Decision Trees ### Control Plane Deployment Options | Method | Pros | Cons | Best For | |--------|------|------|----------| | **kubeadm** | Standard tooling, stackable control plane | Manual upgrades, no auto-scaling | Self-managed, on-prem, air-gapped | | **kops** | AWS-native, state management via S3 | AWS-only, complex | AWS self-managed | | **Talos** | Immutable OS, API-driven, low attack surface | Smaller community, newer project | Security-conscious, GitOps-native | | **EKS / AKS / GKE** | Managed control plane, auto upgrades | Vendor lock-in, less control | Teams without K8s ops expertise | | **OpenShift** | Enterprise features, built-in registry | Resource-heavy, licensing cost | Regulated enterprises | ### etcd Topology Decision Tree ``` Number of control plane nodes? 1 node (dev/test) → Stacked etcd (simpler, less secure) 3 nodes (prod) → Stacked etcd or External etcd 5+ nodes (large prod) → External etcd (separate from control plane) Workload criticality? Dev/test → Stacked etcd on single or 3 nodes Production → External etcd on dedicated nodes Regulated/PCI → External etcd with encryption at rest + HSM-backed TLS ``` ### CNI Decision Tree ``` NetworkPolicy required? YES → Calico (policy-rich, mature) or Cilium (eBPF-based, modern) NO → Flannel (simplest overlay) or Weave (encrypted by default) eBPF capabilities needed? YES → Cilium (L7 policies, Hubble observability, service mesh) NO → Calico (mature, wireguard encryption, BGP) Performance critical? YES → Cilium (eBPF, direct routing, XDP acceleration) NO → Flannel (VXLAN overlay, simple) Multi-cluster / multi-cloud? YES → Cilium ClusterMesh or Submariner NO → Calico (single-cluster is fine) ``` ### Node Type Strategy ``` General purpose (80% of workloads) Instance: 4-8 vCPU, 16-32GB RAM Type: On-demand or Spot (with PDB and anti-affinity) Compute-optimized (batch, CI/CD) Instance: 8-32 vCPU, high clock speed Type: Spot for cost savings Memory-optimized (databases, caching) Instance: 8-64 vCPU, 64-256GB RAM Type: On-demand (stateful) GPU (ML training, inference) Instance: NVIDIA A100, H100, L4 Type: On-demand + nodepool taint Storage-optimized (Kafka, Ceph) Instance: 8-32 vCPU, local NVMe SSDs Type: On-demand with dedicated disk ``` ## Core Workflow ### Step 1: Cluster Bootstrap (kubeadm) ```bash # Control plane node 1 cat < \ --discovery-token-ca-cert-hash sha256: \ --control-plane # Join worker nodes kubeadm join 10.0.0.100:6443 --token \ --discovery-token-ca-cert-hash sha256: ``` ### Step 2: CNI Installation (Cilium) ```yaml # cilium-values.yaml cluster: name: production id: 1 ipam: mode: cluster-pool operator: clusterPoolIPv4PodCIDRList: ["10.244.0.0/16"] clusterPoolIPv4MaskSize: 24 k8s: requireIPv4PodCIDR: true kubeProxyReplacement: true securityContext: capabilities: ciliumAgent: ["CHOWN", "KILL", "NET_ADMIN", "NET_RAW", "IPC_LOCK", "SYS_ADMIN", "SYS_RESOURCE", "DAC_OVERRIDE", "FOWNER", "SETGID", "SETUID"] cleanCiliumState: ["NET_ADMIN", "SYS_ADMIN", "SYS_RESOURCE"] cgroup: autoMount: enabled: false hostRoot: /sys/fs/cgroup hubble: enabled: true relay: enabled: true ui: enabled: true ``` ```bash helm repo add cilium https://helm.cilium.io/ helm upgrade --install cilium cilium/cilium \ --namespace kube-system \ --values cilium-values.yaml \ --version 1.15.0 ``` ### Step 3: Security Configuration **RBAC Model** ```yaml # Least-privilege ClusterRole example apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRole metadata: name: namespace-admin rules: - apiGroups: [""] resources: ["pods", "pods/log", "services", "configmaps", "secrets", "pvc"] verbs: ["get", "list", "watch", "create", "update", "patch", "delete"] - apiGroups: ["apps"] resources: ["deployments", "statefulsets", "daemonsets"] verbs: ["get", "list", "watch", "create", "update", "patch", "delete"] - apiGroups: ["networking.k8s.io"] resources: ["ingresses", "networkpolicies"] verbs: ["get", "list", "watch", "create", "update", "patch", "delete"] - apiGroups: ["autoscaling"] resources: ["horizontalpodautoscalers"] verbs: ["get", "list", "watch", "create", "update", "patch", "delete"] - apiGroups: ["rbac.authorization.k8s.io"] resources: ["roles", "rolebindings"] verbs: ["get", "list", "watch", "create", "update", "patch", "delete"] - apiGroups: [""] resources: ["namespaces"] verbs: ["get", "list"] - apiGroups: ["policy"] resources: ["poddisruptionbudgets"] verbs: ["get", "list", "watch", "create", "update", "patch", "delete"] ``` **Pod Security Standards (PSA)** ```yaml # Namespace-level enforcement apiVersion: v1 kind: Namespace metadata: name: production labels: pod-security.kubernetes.io/enforce: restricted pod-security.kubernetes.io/audit: restricted pod-security.kubernetes.io/warn: restricted --- # Exemption for system-critical namespaces apiVersion: v1 kind: Namespace metadata: name: kube-system labels: pod-security.kubernetes.io/enforce: privileged pod-security.kubernetes.io/audit: privileged pod-security.kubernetes.io/warn: privileged ``` ### Step 4: Storage Classes ```yaml # SSD-backed fast storage (for databases) apiVersion: storage.k8s.io/v1 kind: StorageClass metadata: name: fast-ssd provisioner: ebs.csi.aws.com # Adjust per cloud/CSI parameters: type: gp3 iops: "3000" throughput: "125" encrypted: "true" allowVolumeExpansion: true reclaimPolicy: Delete volumeBindingMode: WaitForFirstConsumer # HDD-backed archive storage apiVersion: storage.k8s.io/v1 kind: StorageClass metadata: name: archive-hdd provisioner: ebs.csi.aws.com parameters: type: sc1 encrypted: "true" allowVolumeExpansion: true reclaimPolicy: Retain volumeBindingMode: WaitForFirstConsumer ``` ### Step 5: Scheduling Configuration ```yaml # Taint for GPU-only nodes apiVersion: v1 kind: Node metadata: name: gpu-node-1 labels: accelerator: nvidia-a100 spec: taints: - effect: NoSchedule key: nvidia.com/gpu value: "true" # GPU workload toleration apiVersion: v1 kind: Pod metadata: name: gpu-training spec: tolerations: - key: nvidia.com/gpu operator: Equal value: "true" effect: NoSchedule nodeSelector: accelerator: nvidia-a100 # Topology spread for HA apiVersion: apps/v1 kind: Deployment metadata: name: web-app spec: replicas: 6 template: spec: topologySpreadConstraints: - maxSkew: 1 topologyKey: topology.kubernetes.io/zone whenUnsatisfiable: DoNotSchedule labelSelector: matchLabels: app: web-app - maxSkew: 1 topologyKey: kubernetes.io/hostname whenUnsatisfiable: ScheduleAnyway labelSelector: matchLabels: app: web-app ``` ### Step 6: Cluster Upgrades ```bash # Pre-upgrade checks kubectl get nodes -o wide kubectl version --short kubectl get pods -A | grep -v Running | grep -v Completed # Upgrade control plane (one node at a time) apt-get update && apt-get install -y kubeadm=1.31.0-1.1 kubeadm upgrade plan kubeadm upgrade apply v1.31.0 kubectl drain control-plane-1 --ignore-daemonsets apt-get install -y kubelet=1.31.0-1.1 kubectl=1.31.0-1.1 systemctl daemon-reload && systemctl restart kubelet kubectl uncordon control-plane-1 # Upgrade worker nodes kubectl drain worker-pool-1 --ignore-daemonsets --delete-emptydir-data apt-get install -y kubeadm=1.31.0-1.1 kubelet=1.31.0-1.1 kubectl=1.31.0-1.1 kubeadm upgrade node systemctl daemon-reload && systemctl restart kubelet kubectl uncordon worker-pool-1 ``` ### Step 7: Backup and Disaster Recovery ```yaml # etcd snapshot cron apiVersion: batch/v1 kind: CronJob metadata: name: etcd-backup namespace: kube-system spec: schedule: "*/30 * * * *" jobTemplate: spec: template: spec: nodeSelector: node-role.kubernetes.io/control-plane: "" tolerations: - key: node-role.kubernetes.io/control-plane operator: Exists containers: - name: etcdctl image: bitnami/etcd:3.5.12 command: - /bin/sh - -c - | ETCDCTL_API=3 etcdctl \ --endpoints=https://127.0.0.1:2379 \ --cacert=/etc/kubernetes/pki/etcd/ca.crt \ --cert=/etc/kubernetes/pki/etcd/server.crt \ --key=/etc/kubernetes/pki/etcd/server.key \ snapshot save /backup/etcd-snapshot-$(date +%Y%m%d-%H%M%S).db aws s3 cp /backup/*.db s3://cluster-backups/etcd/ volumeMounts: - name: backup mountPath: /backup - name: pki mountPath: /etc/kubernetes/pki resources: requests: cpu: 100m memory: 256Mi volumes: - name: backup hostPath: path: /var/backups/etcd - name: pki hostPath: path: /etc/kubernetes/pki restartPolicy: OnFailure ``` ```yaml # Velero backup configuration apiVersion: velero.io/v1 kind: Schedule metadata: name: daily-cluster-backup namespace: velero spec: schedule: "0 2 * * *" template: includedNamespaces: - "*" excludedNamespaces: - kube-system - velero ttl: 720h # 30 days storageLocation: default volumeSnapshotLocations: - default ``` ### Step 8: Cluster Autoscaling ```yaml # Cluster Autoscaler (AWS) apiVersion: apps/v1 kind: Deployment metadata: name: cluster-autoscaler namespace: kube-system spec: replicas: 1 selector: matchLabels: app: cluster-autoscaler template: metadata: labels: app: cluster-autoscaler spec: serviceAccountName: cluster-autoscaler containers: - image: registry.k8s.io/autoscaling/cluster-autoscaler:v1.30.0 name: cluster-autoscaler command: - ./cluster-autoscaler - --cloud-provider=aws - --node-group-auto-discovery=asg:tag=k8s.io/cluster-autoscaler/enabled - --balance-similar-node-groups=true - --expander=least-waste - --max-node-provision-time=15m - --scale-down-delay-after-add=10m - --scale-down-delay-after-delete=10s - --scale-down-unneeded-time=10m - --skip-nodes-with-system-pods=false - --skip-nodes-with-local-storage=false resources: requests: cpu: 100m memory: 300Mi --- # Karpenter provisioner (alternative) apiVersion: karpenter.sh/v1beta1 kind: NodePool metadata: name: default spec: template: spec: requirements: - key: kubernetes.io/arch operator: In values: ["amd64"] - key: karpenter.sh/capacity-type operator: In values: ["on-demand", "spot"] - key: karpenter.k8s.aws/instance-category operator: In values: ["c", "m", "r"] nodeClassRef: name: default limits: cpu: 1000 memory: 4000Gi disruption: consolidationPolicy: WhenUnderutilized expireAfter: 720h ``` ## Production Considerations ### Cluster Sizing Guidelines ``` Control plane nodes: 3 for HA, 5 for large clusters (>500 nodes) Worker nodes: scale based on workload, max 110 pods per node (default) etcd: dedicate separate nodes for large clusters (>250 nodes) CIDR sizing: /16 pod subnet = 65535 pods, /12 service subnet = 1M services ``` ### Resource Reservations for System Daemons ``` kubelet reserved: 100m CPU + 100Mi per node for kubelet system reserved: 500m CPU + 512Mi for kube-proxy, coredns, CNI eviction threshold: 5% disk, 500Mi memory ``` ### Key Metrics to Monitor | Component | Metric | Alert Threshold | |-----------|--------|-----------------| | API server | request latency p99 | >1s for 5m | | etcd | leader changes | >1 in 5m | | etcd | disk fsync latency | >100ms p99 | | etcd | db size | >3GB (auto-compact at 8h) | | CoreDNS | latency | >100ms p99 | | kubelet | node status | NotReady >5m | | Scheduler | pending pods | >10 for 5m | ### Node Lifecycle ``` Taint: mark node as unschedulable + repel pods Cordon: mark node as unschedulable (no new pods) Drain: evict pods gracefully (respects PDB) Delete: remove from cluster Replace: automated via Cluster Autoscaler / Karpenter Procedure: 1. kubectl cordon 2. kubectl drain --ignore-daemonsets --delete-emptydir-data 3. Perform maintenance 4. kubectl uncordon (or delete and let autoscaler replace) ``` ## Security Hardening Checklist - [ ] Control plane endpoint restricted to admin CIDR - [ ] etcd encrypted at rest + TLS for peer/client communication - [ ] Audit logging enabled with retention policy - [ ] Pod Security Standards enforced (restricted baseline) - [ ] Network Policies default-deny for all namespaces - [ ] ServiceAccount token automount disabled for most workloads - [ ] RBAC least-privilege — no cluster-admin for service accounts - [ ] Container images from trusted registries with image policy webhook - [ ] Seccomp and AppArmor profiles for security-sensitive workloads - [ ] Node metadata protection (IMDS firewall) - [ ] Kubernetes secrets encrypted at rest with KMS - [ ] OIDC integration for user authentication - [ ] Admission controllers: PodSecurity, NodeRestriction, AlwaysPullImages - [ ] Runtime class for gVisor/Kata Containers on untrusted workloads ## Anti-Patterns 1. **Running without resource limits**: Pods can consume all node resources. Always set requests + limits. 2. **No PodDisruptionBudget for stateful workloads**: Maintenance can cause data loss. Always set PDB minAvailable. 3. **Ignoring etcd backups**: etcd is the source of truth for cluster state. Loss = cluster loss. 4. **Using default ServiceAccount**: Every pod gets the default SA with no explicit binding. Create per-namespace SA. 5. **Wide-open NetworkPolicies**: Default-allow means any pod can reach any pod. Default-deny then allow specific. 6. **Missing PodAntiAffinity for multi-replica deployments**: All replicas on one node = single point of failure. 7. **Skip version-skew upgrades**: Upgrade one minor version at a time. Never skip versions. 8. **Using hostNetwork without justification**: Bypasses CNI policies and security controls. 9. **No pod priority/preemption**: Critical system pods compete with batch workloads. 10. **Over-privileged RBAC**: `cluster-admin` for developers breaks the security model. ## Anti-Pattern Examples ```yaml # BAD: No resources, probes, or security context apiVersion: apps/v1 kind: Deployment metadata: name: bad-app spec: template: spec: containers: - image: myapp:latest name: app # GOOD: Resources, probes, security context apiVersion: apps/v1 kind: Deployment metadata: name: good-app spec: template: spec: serviceAccountName: app-sa securityContext: runAsNonRoot: true seccompProfile: type: RuntimeDefault containers: - name: app image: myapp:v1.2.3 resources: requests: cpu: 250m memory: 256Mi limits: cpu: 1 memory: 512Mi livenessProbe: httpGet: path: /healthz port: 8080 securityContext: allowPrivilegeEscalation: false readOnlyRootFilesystem: true capabilities: drop: - ALL ``` ## Tooling Ecosystem | Tool | Purpose | Install | |------|---------|---------| | kubectl | Primary CLI | Package manager or binary | | k9s | Terminal UI for cluster management | `brew install k9s` | | kubectx/kubens | Switch context/namespace | `brew install kubectx` | | kube-ps1 | Kubernetes prompt in shell | `brew install kube-ps1` | | popeye | Cluster health scan | `brew install popeye` | | kube-bench | CIS benchmark scanner | `kubectl apply -f job.yaml` | | kube-hunter | Security penetration testing | `pip install kube-hunter` | | sonobuoy | Conformance testing | `curl -L -o sonobuoy ...` | | kubectl-neat | Clean K8s manifests | `kubectl krew install neat` | | kubectl-tree | Resource hierarchy | `kubectl krew install tree` | | kubectl-snapshot | Resource snapshots | `kubectl krew install snapshot` | | starboard | Vulnerability scanner | `kubectl krew install starboard` | ## Compared With | Aspect | Self-Managed (kubeadm) | Managed (EKS/AKS/GKE) | Talos | |--------|----------------------|----------------------|-------| | Control plane mgmt | Full responsibility | Cloud provider managed | API-driven immutable | | Upgrade effort | Manual, version by version | Automated via cloud console | `talosctl upgrade` | | Security baseline | Your config | Provider defaults + CIS | Immutable OS, minimal | | etcd management | Manual backup/restore | Provider managed | Automatic snapshots | | Add-on management | Manual (Helm/kubectl) | Sometimes managed | Declarative config | | Control plane cost | Server costs only | ~$0.10-0.30/hr per cluster | Server costs only | | Learning curve | High | Medium | Medium-High | ## References - references/ingress-controllers.md — Ingress Controller Selection and Config - references/namespace-management.md — Namespace Strategy and Resource Quotas - references/pod-lifecycle.md — Pod Lifecycle, Init Containers, and Ephemeral Containers - references/kubernetes-api-resources.md — API Resource Guide - references/kubernetes-security.md — Kubernetes Security Hardening - references/kubernetes-upgrades.md — Cluster Upgrade Procedures - references/kubernetes-backup-dr.md — etcd Backup and Disaster Recovery - references/kubernetes-monitoring.md — Cluster Monitoring and Alerting - references/kubernetes-troubleshooting.md — Cluster Troubleshooting Guide ## Handoff Cross-reference with `kubernetes-patterns` for application manifests. Use `helm-patterns` for chart design. Use `cilium-ebpf` for advanced networking. Use `service-mesh` for Istio/Linkerd. Use `monitoring` for Prometheus/Grafana. Use `backup-dr` for Velero. Hand off to `incident-response` for cluster incidents. --- > Source: [j4flmao/agent-skills](https://github.com/j4flmao/agent-skills) — distributed by [TomeVault](https://tomevault.io).