/kubernetes-patterns
Kubernetes workload patterns, resource management, RBAC, probes, autoscaling, ConfigMap/Secret handling, and kubectl debugging for production-grade deployments.
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Kubernetes workload patterns, resource management, RBAC, probes, autoscaling, ConfigMap/Secret handling, and kubectl debugging for production-grade deployments.
SKILL.md
kubernetes-patterns.SKILL.mdname: kubernetes-patterns
description: Kubernetes workload patterns, resource management, RBAC, probes, autoscaling, ConfigMap/Secret handling, and kubectl debugging for production-grade deployments.
metadata:
origin: ECC
Kubernetes Patterns
Production-grade Kubernetes patterns for deploying, managing, and debugging workloads reliably.
When to Activate
- Writing Kubernetes manifests (Deployments, Services, Ingress, Jobs)
- Configuring resource requests/limits, liveness/readiness probes
- Setting up RBAC, namespaces, or ServiceAccounts
- Managing configuration and secrets in K8s
- Debugging CrashLoopBackOff, OOMKilled, pending pods, or image pull errors
- Configuring HPA (Horizontal Pod Autoscaler) or PodDisruptionBudgets
- Reviewing K8s YAML for security or correctness
When to Use
> Same as **When to Activate** above. This alias satisfies repo skill-format conventions. Use this skill any time you are writing, reviewing, or debugging Kubernetes YAML and workloads.
How It Works
This skill provides **copy-pasteable, production-grade YAML patterns** and **kubectl debugging commands** organized by task:
1. **Deployment template** — A fully configured production `Deployment` with security context, rolling update strategy, all three probe types, resource limits, and environment injection from ConfigMap/Secret. 2. **Probes** — Decision table for startup vs liveness vs readiness, with correct `failureThreshold × periodSeconds` math. 3. **Services & Ingress** — ClusterIP, LoadBalancer, and TLS Ingress patterns with cert-manager annotations. 4. **ConfigMaps & Secrets** — `envFrom`, file-mount, and external secrets guidance. 5. **Resource management** — Requests vs limits rules of thumb by workload type (web API, JVM, worker, sidecar). 6. **RBAC** — Least-privilege ServiceAccount → Role → RoleBinding chain. 7. **HPA & PDB** — Autoscaling and node-drain safety configurations. 8. **Jobs & CronJobs** — One-off and scheduled workload patterns with correct `restartPolicy`. 9. **kubectl cheatsheet** — Logs, exec, rollback, port-forward, dry-run, and common error diagnosis commands. 10. **Anti-patterns & checklist** — What NOT to do, and a security/reliability/observability checklist.
Examples
See the sections below for complete, runnable examples. Quick references:
| Task | Jump to | |------|---------| | Full production Deployment YAML | [Core Workload Patterns](#core-workload-patterns) | | Probe configuration | [Probes](#probes--liveness-readiness-startup) | | RBAC least-privilege setup | [RBAC](#rbac--roles-and-serviceaccounts) | | Debug a CrashLoopBackOff | [kubectl Debugging Cheatsheet](#kubectl-debugging-cheatsheet) | | Autoscaling | [HPA](#horizontal-pod-autoscaler-hpa) |
---
Core Workload Patterns
Deployment — Production Template
apiVersion: apps/v1
kind: Deployment
metadata:
name: my-app
namespace: my-namespace
labels:
app: my-app
version: "1.0.0"
spec:
replicas: 3
selector:
matchLabels:
app: my-app
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 1 # Allow 1 extra pod during update
maxUnavailable: 0 # Never reduce below desired count
template:
metadata:
labels:
app: my-app
version: "1.0.0"
spec:
# Security context at pod level
securityContext:
runAsNonRoot: true
runAsUser: 1001
fsGroup: 1001
# Graceful shutdown
terminationGracePeriodSeconds: 30
containers:
- name: my-app
image: ghcr.io/org/my-app:1.0.0 # Never use :latest
imagePullPolicy: IfNotPresent
ports:
- containerPort: 8080
protocol: TCP
# Resource requests AND limits are both required
resources:
requests:
cpu: "100m"
memory: "128Mi"
limits:
cpu: "500m"
memory: "256Mi"
# Container security context
securityContext:
allowPrivilegeEscalation: false
readOnlyRootFilesystem: true
capabilities:
drop:
- ALL
# Probes (see Probes section below)
startupProbe:
httpGet:
path: /health
port: 8080
failureThreshold: 30
periodSeconds: 5
livenessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 0
periodSeconds: 30
failureThreshold: 3
readinessProbe:
httpGet:
path: /ready
port: 8080
initialDelaySeconds: 5
periodSeconds: 10
failureThreshold: 2
# Environment from ConfigMap and Secret
envFrom:
- configMapRef:
name: my-app-config
env:
- name: DB_PASSWORD
valueFrom:
secretKeyRef:
name: my-app-secrets
key: db-password
# Writable tmp directory when readOnlyRootFilesystem: true
volumeMounts:
- name: tmp
mountPath: /tmp
volumes:
- name: tmp
emptyDir: {}---
Probes — Liveness, Readiness, Startup
Understanding when to use each probe is critical:
| Probe | Failure Action | Use For | |-------|---------------|---------| | `startupProbe` | Kills container if slow to start | Slow-starting apps (JVM, Python) | | `livenessProbe` | Restarts container | Deadlock / hung process detection | | `readinessProbe` | Removes from Service endpoints | Temporary unavailability (DB reconnect) |
# Correct pattern: startupProbe covers slow startup,
# then liveness/readiness take over
startupProbe:
httpGet:
path: /health
port: 8080
failureThreshold: 30 # 30 * 5s = 150s max startup time
periodSeconds: 5
livenessProbe:
httpGet:
pRead more
name: kubernetes-patterns description: Kubernetes workload patterns, resource management, RBAC, probes, autoscaling, ConfigMap/Secret handling, and kubectl debugging for production-grade deployments. metadata: origin: ECC
Kubernetes Patterns
Production-grade Kubernetes patterns for deploying, managing, and debugging workloads reliably.
When to Activate
- Writing Kubernetes manifests (Deployments, Services, Ingress, Jobs)
- Configuring resource requests/limits, liveness/readiness probes
- Setting up RBAC, namespaces, or ServiceAccounts
- Managing configuration and secrets in K8s
- Debugging CrashLoopBackOff, OOMKilled, pending pods, or image pull errors
- Configuring HPA (Horizontal Pod Autoscaler) or PodDisruptionBudgets
- Reviewing K8s YAML for security or correctness
When to Use
> Same as **When to Activate** above. This alias satisfies repo skill-format conventions. Use this skill any time you are writing, reviewing, or debugging Kubernetes YAML and workloads.
How It Works
This skill provides **copy-pasteable, production-grade YAML patterns** and **kubectl debugging commands** organized by task:
1. **Deployment template** — A fully configured production `Deployment` with security context, rolling update strategy, all three probe types, resource limits, and environment injection from ConfigMap/Secret. 2. **Probes** — Decision table for startup vs liveness vs readiness, with correct `failureThreshold × periodSeconds` math. 3. **Services & Ingress** — ClusterIP, LoadBalancer, and TLS Ingress patterns with cert-manager annotations. 4. **ConfigMaps & Secrets** — `envFrom`, file-mount, and external secrets guidance. 5. **Resource management** — Requests vs limits rules of thumb by workload type (web API, JVM, worker, sidecar). 6. **RBAC** — Least-privilege ServiceAccount → Role → RoleBinding chain. 7. **HPA & PDB** — Autoscaling and node-drain safety configurations. 8. **Jobs & CronJobs** — One-off and scheduled workload patterns with correct `restartPolicy`. 9. **kubectl cheatsheet** — Logs, exec, rollback, port-forward, dry-run, and common error diagnosis commands. 10. **Anti-patterns & checklist** — What NOT to do, and a security/reliability/observability checklist.
Examples
See the sections below for complete, runnable examples. Quick references:
| Task | Jump to | |------|---------| | Full production Deployment YAML | [Core Workload Patterns](#core-workload-patterns) | | Probe configuration | [Probes](#probes--liveness-readiness-startup) | | RBAC least-privilege setup | [RBAC](#rbac--roles-and-serviceaccounts) | | Debug a CrashLoopBackOff | [kubectl Debugging Cheatsheet](#kubectl-debugging-cheatsheet) | | Autoscaling | [HPA](#horizontal-pod-autoscaler-hpa) |
---
Core Workload Patterns
Deployment — Production Template
apiVersion: apps/v1
kind: Deployment
metadata:
name: my-app
namespace: my-namespace
labels:
app: my-app
version: "1.0.0"
spec:
replicas: 3
selector:
matchLabels:
app: my-app
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 1 # Allow 1 extra pod during update
maxUnavailable: 0 # Never reduce below desired count
template:
metadata:
labels:
app: my-app
version: "1.0.0"
spec:
# Security context at pod level
securityContext:
runAsNonRoot: true
runAsUser: 1001
fsGroup: 1001
# Graceful shutdown
terminationGracePeriodSeconds: 30
containers:
- name: my-app
image: ghcr.io/org/my-app:1.0.0 # Never use :latest
imagePullPolicy: IfNotPresent
ports:
- containerPort: 8080
protocol: TCP
# Resource requests AND limits are both required
resources:
requests:
cpu: "100m"
memory: "128Mi"
limits:
cpu: "500m"
memory: "256Mi"
# Container security context
securityContext:
allowPrivilegeEscalation: false
readOnlyRootFilesystem: true
capabilities:
drop:
- ALL
# Probes (see Probes section below)
startupProbe:
httpGet:
path: /health
port: 8080
failureThreshold: 30
periodSeconds: 5
livenessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 0
periodSeconds: 30
failureThreshold: 3
readinessProbe:
httpGet:
path: /ready
port: 8080
initialDelaySeconds: 5
periodSeconds: 10
failureThreshold: 2
# Environment from ConfigMap and Secret
envFrom:
- configMapRef:
name: my-app-config
env:
- name: DB_PASSWORD
valueFrom:
secretKeyRef:
name: my-app-secrets
key: db-password
# Writable tmp directory when readOnlyRootFilesystem: true
volumeMounts:
- name: tmp
mountPath: /tmp
volumes:
- name: tmp
emptyDir: {}---
Probes — Liveness, Readiness, Startup
Understanding when to use each probe is critical:
| Probe | Failure Action | Use For | |-------|---------------|---------| | `startupProbe` | Kills container if slow to start | Slow-starting apps (JVM, Python) | | `livenessProbe` | Restarts container | Deadlock / hung process detection | | `readinessProbe` | Removes from Service endpoints | Temporary unavailability (DB reconnect) |
# Correct pattern: startupProbe covers slow startup,
# then liveness/readiness take over
startupProbe:
httpGet:
path: /health
port: 8080
failureThreshold: 30 # 30 * 5s = 150s max startup time
periodSeconds: 5
livenessProbe:
httpGet:
pYour agent can write code, but ECC gives it a coordinated engineering system and toolbox: it plans before it builds, verifies changes with tests, reviews its own work from a fresh context, remembers what matters, and turns repeated wins into reusable skills
Repo: affaan-m/everything-claude-code
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