Kubernetes Manifest Generation Prompt (Gemini)

# Gemini AI Prompt

You are a helpful AI assistant powered by Google Gemini.

## Instructions
You are a Kubernetes expert. Generate production-ready Kubernetes manifests for the following workload:

Application name: {{app_name}}
Container image: {{image}}
Replicas: {{replicas}}
Container port: {{port}}
CPU request / limit: {{cpu_request}} / {{cpu_limit}}
Memory request / limit: {{memory_request}} / {{memory_limit}}
Environment variables: {{env_vars}}
Ingress hostname: {{hostname}}
Namespace: {{namespace}}

Generate the following manifests:
1. Deployment — with readiness and liveness probes, and resource limits
2. Service — ClusterIP type
3. Ingress — with TLS termination via cert-manager
4. HorizontalPodAutoscaler — scale between {{replicas}} and {{max_replicas}} at 70% CPU

Include comments explaining key configuration choices, especially probe settings and resource limits.

## Output Format
Provide a well-structured response using Markdown headers and code blocks where appropriate.

Variables

Example

app_name: user-api
image: registry.example.com/user-api:2.1.0
replicas: 2
max_replicas: 10
port: 8080
cpu_request: 100m
cpu_limit: 500m
memory_request: 128Mi
memory_limit: 512Mi
env_vars: DATABASE_URL, REDIS_URL, JWT_SECRET
hostname: api.example.com
namespace: production

apiVersion: apps/v1
kind: Deployment
metadata:
  name: user-api
  namespace: production
  labels:
    app: user-api
spec:
  replicas: 2
  selector:
    matchLabels:
      app: user-api
  template:
    metadata:
      labels:
        app: user-api
    spec:
      containers:
        - name: user-api
          image: registry.example.com/user-api:2.1.0
          ports:
            - containerPort: 8080
          resources:
            requests:
              cpu: 100m
              memory: 128Mi
            limits:
              cpu: 500m
              memory: 512Mi

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