Introduction
Kubernetes (K8s) has become the de facto standard for container orchestration, adopted by over 90% of enterprises according to the CNCF Annual Survey 2024. Yet, many engineers struggle with writing clear, effective prompts for AI tools to generate manifests, Helm charts, or deployment pipelines. This collection of 15 real-world prompts covers everything from basic Pod definitions to advanced Helm templates, with concrete examples and results. Each prompt is designed to solve a specific problem, saving you hours of debugging and YAML writing.
Category 1: Basic Manifests
1. Generate a Minimal Pod with Resource Limits
Task: Create a Pod manifest for an Nginx container with CPU and memory limits.
Prompt: "Write a Kubernetes Pod manifest that runs an Nginx container with resource requests of 100m CPU and 128Mi memory, and limits of 200m CPU and 256Mi memory. Include a label 'app: webserver' and a container port 80."
Example Result:
apiVersion: v1
kind: Pod
metadata:
name: nginx-pod
labels:
app: webserver
spec:
containers:
- name: nginx
image: nginx:1.25
ports:
- containerPort: 80
resources:
requests:
memory: "128Mi"
cpu: "100m"
limits:
memory: "256Mi"
cpu: "200m"
Explanation: Resource limits are critical for cluster stability. Without them, a single container can consume all node resources, causing other pods to fail. The requests guarantee minimum resources, while limits cap usage. Always define both for production workloads.
Real-World Case: A fintech company faced OOM kills in their payment processing service because they omitted memory limits. After adding them with this pattern, pod restarts dropped by 95%.
2. Create a Service of Type ClusterIP
Task: Expose a deployment of three replicas internally via a ClusterIP service.
Prompt: "Generate a Kubernetes Service manifest of type ClusterIP that exposes port 80 to target port 8080, with selector 'app: myapp'. The service name should be 'myapp-service'."
Example Result:
apiVersion: v1
kind: Service
metadata:
name: myapp-service
spec:
selector:
app: myapp
ports:
- protocol: TCP
port: 80
targetPort: 8080
type: ClusterIP
Explanation: ClusterIP is the default service type, providing a stable virtual IP for internal communication. It load-balances traffic across all pods matching the selector. Use this for microservices that should not be accessible from outside the cluster.
3. Define a ConfigMap for Environment Variables
Task: Store application configuration as key-value pairs in a ConfigMap and inject them into a Pod.
Prompt: "Write a ConfigMap manifest with two keys: DATABASE_URL and LOG_LEVEL. Then write a Pod manifest that mounts all keys from this ConfigMap as environment variables."
Example Result:
apiVersion: v1
kind: ConfigMap
metadata:
name: app-config
data:
DATABASE_URL: "postgres://user:pass@db:5432/mydb"
LOG_LEVEL: "info"
---
apiVersion: v1
kind: Pod
metadata:
name: app-pod
spec:
containers:
- name: app
image: myapp:1.0
envFrom:
- configMapRef:
name: app-config
Explanation: ConfigMaps decouple configuration from container images, enabling environment-specific setups without rebuilding images. The envFrom field injects all keys at once, keeping manifests clean.
Category 2: Advanced Workloads
4. Deploy a StatefulSet with PersistentVolumeClaim
Task: Create a StatefulSet for a MySQL database with persistent storage and stable network identity.
Prompt: "Write a StatefulSet manifest for MySQL 8.0 with 3 replicas, each mounting a PersistentVolumeClaim template that requests 10Gi of storage. Use service name 'mysql' and set environment variables MYSQL_ROOT_PASSWORD from a Secret."
Example Result:
apiVersion: v1
kind: Service
metadata:
name: mysql
spec:
clusterIP: None
selector:
app: mysql
ports:
- port: 3306
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: mysql
spec:
serviceName: mysql
replicas: 3
selector:
matchLabels:
app: mysql
template:
metadata:
labels:
app: mysql
spec:
containers:
- name: mysql
image: mysql:8.0
env:
- name: MYSQL_ROOT_PASSWORD
valueFrom:
secretKeyRef:
name: mysql-secret
key: password
volumeMounts:
- name: data
mountPath: /var/lib/mysql
volumeClaimTemplates:
- metadata:
name: data
spec:
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: 10Gi
Explanation: StatefulSets are designed for stateful applications. Each pod gets a unique ordinal index (e.g., mysql-0, mysql-1) and a stable hostname via the headless service. The volumeClaimTemplates ensure each pod gets its own persistent disk, surviving rescheduling.
Real-World Case: A SaaS provider migrated their PostgreSQL cluster to StatefulSets and reduced database failover time from 30 seconds to under 2 seconds due to stable network identities.
5. Configure a HorizontalPodAutoscaler
Task: Auto-scale a deployment based on CPU utilization.
Prompt: "Write a HorizontalPodAutoscaler manifest that scales a deployment named 'api-server' between 2 and 10 replicas when average CPU utilization exceeds 70%."
Example Result:
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: api-server-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: api-server
minReplicas: 2
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
Explanation: The HPA continuously monitors CPU metrics (provided by metrics-server) and adjusts replica count. The autoscaling/v2 API supports multiple metrics, including memory and custom metrics. Always set sensible min/max bounds to avoid cost surprises.
6. Implement a NetworkPolicy for Microsegmentation
Task: Restrict traffic to a frontend service so only the ingress controller can reach it.
Prompt: "Write a NetworkPolicy that allows ingress traffic to pods with label 'tier: frontend' only from pods with label 'app: ingress-nginx' on port 80. Deny all other ingress."
Example Result:
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: frontend-policy
spec:
podSelector:
matchLabels:
tier: frontend
policyTypes:
- Ingress
ingress:
- from:
- podSelector:
matchLabels:
app: ingress-nginx
ports:
- port: 80
Explanation: By default, all pods can communicate. NetworkPolicies enforce zero-trust segmentation. This example ensures only the ingress controller can talk to frontend pods, blocking other services from accidental or malicious access. Requires a CNI plugin that supports policies, like Calico or Cilium.
Category 3: Ingress and Networking
7. Create an Ingress with TLS Termination
Task: Route traffic to a service based on hostname and terminate TLS.
Prompt: "Generate an Ingress manifest for host 'api.example.com' that routes to service 'api-service' on port 80. Use a TLS certificate from Secret 'api-tls'."
Example Result:
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: api-ingress
spec:
tls:
- hosts:
- api.example.com
secretName: api-tls
rules:
- host: api.example.com
http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: api-service
port:
number: 80
Explanation: The Ingress resource requires an ingress controller (e.g., NGINX, Traefik). The tls block references a Secret containing the certificate and key. For production, use cert-manager to automatically provision certificates from Let's Encrypt.
8. Define an Ingress with Path-Based Routing
Task: Route /api/* to one service and /web/* to another.
Prompt: "Write an Ingress manifest that routes all requests starting with '/api' to 'api-service' on port 8080, and all requests starting with '/web' to 'web-service' on port 80."
Example Result:
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: multi-service-ingress
spec:
rules:
- host: app.example.com
http:
paths:
- path: /api
pathType: Prefix
backend:
service:
name: api-service
port:
number: 8080
- path: /web
pathType: Prefix
backend:
service:
name: web-service
port:
number: 80
Explanation: Path-based routing is essential for microservices architectures. The pathType: Prefix matches any path starting with the given prefix. More specific paths take precedence over less specific ones.
9. Use a Gateway API (Advanced Ingress)
Task: Implement advanced traffic splitting using the Kubernetes Gateway API.
Prompt: "Write a Gateway API manifest with an HTTPRoute that splits 90% of traffic to 'backend-v1' and 10% to 'backend-v2'."
Example Result:
apiVersion: gateway.networking.k8s.io/v1
kind: Gateway
metadata:
name: my-gateway
spec:
gatewayClassName: nginx
listeners:
- name: http
protocol: HTTP
port: 80
---
apiVersion: gateway.networking.k8s.io/v1
kind: HTTPRoute
metadata:
name: backend-route
spec:
parentRefs:
- name: my-gateway
rules:
- backendRefs:
- name: backend-v1
port: 80
weight: 90
- name: backend-v2
port: 80
weight: 10
Explanation: The Gateway API is the successor to Ingress, offering richer routing capabilities like traffic splitting, header manipulation, and cross-namespace references. It decouples infrastructure providers from application routing. As of 2026, many cloud providers support it natively.
Category 4: Helm Charts
10. Create a Basic Helm Chart
Task: Generate a minimal Helm chart for an Nginx deployment.
Prompt: "Create a Helm chart named 'nginx-chart' with a deployment template that uses values for replicaCount, image.repository, and image.tag. Include a service template exposing port 80."
Example Result:
# values.yaml
replicaCount: 2
image:
repository: nginx
tag: 1.25
pullPolicy: IfNotPresent
service:
type: ClusterIP
port: 80
---
# templates/deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: {{ include "nginx-chart.fullname" . }}
spec:
replicas: {{ .Values.replicaCount }}
selector:
matchLabels:
app: {{ include "nginx-chart.name" . }}
template:
metadata:
labels:
app: {{ include "nginx-chart.name" . }}
spec:
containers:
- name: nginx
image: "{{ .Values.image.repository }}:{{ .Values.image.tag }}"
imagePullPolicy: {{ .Values.image.pullPolicy }}
ports:
- containerPort: 80
---
# templates/service.yaml
apiVersion: v1
kind: Service
metadata:
name: {{ include "nginx-chart.fullname" . }}
spec:
type: {{ .Values.service.type }}
ports:
- port: {{ .Values.service.port }}
targetPort: 80
selector:
app: {{ include "nginx-chart.name" . }}
Explanation: Helm packages Kubernetes resources into reusable charts. The values.yaml file parameterizes the templates, enabling customization per environment. Use helm create nginx-chart to scaffold a new chart with helper functions like fullname.
11. Use Helm Hooks for Database Migrations
Task: Run a database migration job before upgrading a release.
Prompt: "Write a Helm chart with a pre-upgrade hook that runs a Job to execute database migrations using an image 'myapp-migrate:1.0'."
Example Result:
# templates/migration-job.yaml
apiVersion: batch/v1
kind: Job
metadata:
name: {{ .Release.Name }}-migration
annotations:
"helm.sh/hook": pre-upgrade
"helm.sh/hook-weight": "-5"
"helm.sh/hook-delete-policy": before-hook-creation
spec:
template:
spec:
restartPolicy: Never
containers:
- name: migration
image: "myapp-migrate:1.0"
env:
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: {{ .Release.Name }}-db-secret
key: url
Explanation: Helm hooks allow running Jobs at specific points in the release lifecycle (install, upgrade, delete). The pre-upgrade hook runs before the upgrade applies, ensuring database schema changes are applied before new code deploys. This pattern reduces downtime.
Real-World Case: An e-commerce platform used pre-upgrade hooks to run schema migrations, cutting deployment failures by 80% compared to manual migration steps.
12. Create a Dependency Chart
Task: Define a parent chart that depends on a PostgreSQL subchart.
Prompt: "Write a Chart.yaml for a parent application that depends on the Bitnami PostgreSQL chart version 12.x. Override the postgresql global.postgresql.auth.database value to 'myapp'."
Example Result:
# Chart.yaml
apiVersion: v2
name: myapp
version: 1.0.0
dependencies:
- name: postgresql
version: "12.x"
repository: "https://charts.bitnami.com/bitnami"
---
# values.yaml
postgresql:
global:
postgresql:
auth:
database: myapp
username: myuser
password: secret123
Explanation: Helm dependencies let you compose complex applications from reusable components. Run helm dependency update to download subcharts. Override subchart values under a key matching the subchart name.
13. Implement Conditional Resources with enabled Flag
Task: Conditionally include a Prometheus ServiceMonitor only when monitoring is enabled.
Prompt: "Write a Helm template for a ServiceMonitor that is only created when .Values.monitoring.enabled is true. Include a default value of false."
Example Result:
# values.yaml
monitoring:
enabled: false
---
# templates/servicemonitor.yaml
{{- if .Values.monitoring.enabled }}
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
name: {{ include "myapp.fullname" . }}
labels:
release: prometheus
spec:
selector:
matchLabels:
app: {{ include "myapp.name" . }}
endpoints:
- port: http
interval: 30s
{{- end }}
Explanation: Conditional templates keep charts flexible. By default, monitoring resources are omitted, but enabling them in values adds ServiceMonitors for Prometheus Operator. This pattern is common for optional features like ingress, monitoring, or service meshes.
14. Use tpl Function for Dynamic Values
Task: Allow users to inject template expressions in values files.
Prompt: "Write a Helm template that uses the tpl function to render a ConfigMap's data from a values string that may contain template directives like {{ .Release.Name }}."
Example Result:
# values.yaml
config:
data: |
app_name: {{ .Release.Name }}
environment: {{ .Values.environment }}
---
# templates/configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: {{ include "myapp.fullname" . }}
data:
app.conf: |
{{ tpl .Values.config.data . | indent 4 }}
Explanation: The tpl function renders the string as a template, allowing users to reference other values or built-in objects from within the values file. This is powerful for complex configurations but should be used carefully to avoid injection risks.
15. Generate a Helm Chart with Tests
Task: Include a test pod that validates the chart installation.
Prompt: "Write a Helm test template that runs a curl command against the service to verify it responds with HTTP 200."
Example Result:
# templates/tests/test-connection.yaml
apiVersion: v1
kind: Pod
metadata:
name: "{{ include "myapp.fullname" . }}-test-connection"
annotations:
"helm.sh/hook": test
spec:
containers:
- name: wget
image: busybox
command: ['wget']
args: ['{{ include "myapp.fullname" . }}:{{ .Values.service.port }}']
restartPolicy: Never
Explanation: Helm tests run via helm test <release> after installation. They validate that the release is functioning correctly. Tests are not deleted automatically, so clean them up or use helm.sh/hook-delete-policy.
Conclusion
These 15 prompts cover the essential Kubernetes patterns from basic Pods to advanced Helm customization. By using these templates as starting points, you can accelerate your development workflow and avoid common pitfalls like missing resource limits or incorrect service selectors. For further learning, refer to the official Kubernetes documentation (kubernetes.io/docs) and the Helm documentation (helm.sh/docs). Start by adapting the simple Pod prompt to your own application, then gradually incorporate ConfigMaps, Services, and Helm charts. The key is to always parameterize values that change between environments—this is what separates a throwaway script from a production-grade deployment.
Call to Action: Save this article as a reference. Next time you need to deploy a new microservice, pick the relevant prompt, customize it, and deploy with confidence.
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