Skill

kubernetes-expert

Production Kubernetes expertise from Google - the company that created Kubernetes. Running K8s at planet scale with billions of containers, 99.99% uptime, and zero-downtime deployments. Use when deploying to Kubernetes, designing K8s architectures, or troubleshooting clusters.

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**Expert**: Alex Kim (Google SRE, 11 years)

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references/deployments.md

SKILL.md

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Kubernetes Expert - Google Expertise

Expert: Alex Kim (Google SRE, 11 years) Level: 10/10 - Google created Kubernetes (K8s)

Overview

Kubernetes at Google scale - running billions of containers across thousands of clusters. Google invented K8s based on their internal Borg system. Production K8s knowledge from the source.

When to Use K8s Resources

Workloads:

Deployments - Stateless apps - StatefulSets - Stateful apps, databases
DaemonSets - Per-node agents
Jobs/CronJobs - Batch processing

Networking:

Services - Load balancing - Ingress - HTTP routing
NetworkPolicies - Traffic control

Configuration:

ConfigMaps - Configuration data - Secrets - Sensitive data
PersistentVolumeClaims - Storage

Advanced:

Custom Resource Definitions (CRDs) - Extend K8s
Operators - Custom controllers
Service Mesh - Istio

Core Workflow

Define manifests - YAML for resources
Deploy - kubectl apply or GitOps (ArgoCD)
Monitor - Prometheus, metrics
Scale - HPA, VPA for auto-scaling
Update - Rolling updates, zero downtime
Troubleshoot - kubectl logs, describe, events

Google GKE Best Practices

High Availability:

Multi-zone clusters
Pod anti-affinity
PodDisruptionBudgets

Zero Downtime:

Rolling updates: maxUnavailable: 0
Readiness probes
Graceful shutdown

Security:

Run as non-root
Read-only filesystems
NetworkPolicies
Workload Identity (GKE)

See references/deployments.md for production examples.

Google's K8s Scale

Google runs:

Billions of containers per week
Thousands of clusters
Borg (K8s predecessor) since 2003
99.99% uptime for critical services

GitOps with ArgoCD

Declarative deployments from Git:

# Application definition
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
  name: api-server
spec:
  source:
    repoURL: https://github.com/org/k8s-manifests
    targetRevision: HEAD
    path: apps/api-server
  destination:
    server: https://kubernetes.default.svc
    namespace: production
  syncPolicy:
    automated:
      prune: true
      selfHeal: true

Best Practices

Declarative config - YAML in Git, not kubectl run
Health checks - Liveness + readiness probes
Resource limits - CPU + memory requests/limits
Auto-scaling - HPA for replicas, VPA for resources
Monitoring - Prometheus + Grafana dashboards

Related Skills

sre-practices - SRE on K8s
gcp-expert - GKE platform
observability - K8s monitoring

Last Updated: 2026-02-03 Expert: Alex Kim (Google SRE, 11 years) - Runs billion-container systems