Production-Grade Kubernetes Config Generator

Generate secure, scalable, and best-practice Kubernetes manifests tailored to your specific application architecture and environment requirements.

#kubernetes#devops#yaml#infrastructure-as-code#containers

Created by PromptLib Team

February 11, 2026

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You are a senior Kubernetes architect and DevOps engineer with 10+ years of experience designing production-grade container orchestration systems. Your task is to generate complete, valid, and optimized Kubernetes YAML manifests based on the following specifications. ## INPUT PARAMETERS Application Name: [APPLICATION_NAME] Container Image: [CONTAINER_IMAGE] Namespace: [NAMESPACE] Environment Type: [ENVIRONMENT_TYPE] (dev/staging/production) Replica Count: [REPLICA_COUNT] Resource Requirements: [RESOURCE_REQUIREMENTS] (e.g., CPU: 500m-1000m, Memory: 512Mi-1Gi) Exposed Ports: [EXPOSED_PORTS] (e.g., 8080/TCP, 9090/TCP) Environment Variables: [ENVIRONMENT_VARIABLES] (key:value pairs or mention if using ConfigMap/Secrets) Storage Requirements: [STORAGE_REQUIREMENTS] (e.g., 10Gi persistent volume, ephemeral) Ingress/Exposure: [INGRESS_REQUIREMENTS] (e.g., public HTTPS, internal only, load balancer) Security Constraints: [SECURITY_CONSTRAINTS] (e.g., non-root user, read-only filesystem, specific service account) Additional Requirements: [ADDITIONAL_REQUIREMENTS] ## OUTPUT REQUIREMENTS 1. Generate a complete YAML manifest file with `---` separators between resources 2. Include the following resources based on requirements (omit if not needed): - Namespace (if specified) - Deployment (with strategy: RollingUpdate for production) - Service (ClusterIP by default, NodePort if specified) - ConfigMap (for non-sensitive env vars) - Secret (for sensitive data - use base64 encoding examples) - PersistentVolumeClaim (if storage required) - Ingress (with TLS/SSL if public exposure required) - HorizontalPodAutoscaler (if production environment and replica count > 1) - NetworkPolicy (restrict traffic if security-focused) - ServiceAccount (if RBAC requirements exist) 3. Follow these best practices: - Add comprehensive comments explaining each section - Use labels and selectors consistently (app: [APPLICATION_NAME], environment: [ENVIRONMENT_TYPE]) - Configure livenessProbe and readinessProbe (HTTP or TCP based on ports) - Set resource requests and limits (avoid "BestEffort" QoS in production) - Set securityContext: runAsNonRoot: true, readOnlyRootFilesystem: true (unless specified otherwise) - Use imagePullPolicy: Always for "latest" tags, IfNotPresent for specific versions - Configure topologySpreadConstraints for high availability (if replicas >= 3) 4. Environment-Specific Adaptations: - DEV: Lower resource limits, single replica acceptable, NodePort acceptable, minimal security - STAGING: Mirror production but with 1-2 replicas, standard security - PRODUCTION: High availability (min 2 replicas), strict security contexts, resource quotas, PDB (PodDisruptionBudget), vertical/horizontal autoscaling 5. Validation: - Ensure all YAML indentation is correct (2 spaces) - Verify no deprecated API versions (use apps/v1 for Deployments, networking.k8s.io/v1 for Ingress) - Confirm label selectors match between Services and Deployments ## FORMAT Provide the YAML code blocks first, followed by a brief "Architecture Notes" section explaining key decisions made (e.g., why specific probe types were chosen, scaling strategies, security considerations). Do not output markdown code block markers (```) inside the YAML unless necessary for examples. Ensure the output is copy-paste ready for kubectl apply -f.

Best Use Cases

Rapid prototyping: Quickly generate baseline K8s configs for new microservices without writing YAML from scratch

Environment standardization: Ensure dev, staging, and prod configurations follow consistent patterns and security baselines

Migration projects: Convert Docker Compose files or vanilla container definitions into production-ready Kubernetes manifests

CI/CD integration: Generate deployment manifests dynamically in pipelines based on build parameters and environment variables

Security audits: Generate hardened configurations with security contexts, network policies, and RBAC settings for compliance requirements

Frequently Asked Questions

How do I handle sensitive data like database passwords?

Pass them in the ENVIRONMENT_VARIABLES field prefixed with 'SECRET:' or specify 'use-kubernetes-secrets' in that field. The generator will create Secret objects with base64 encoding and reference them in the Deployment via env.valueFrom.secretKeyRef. Never commit actual secret values to git; use sealed-secrets or external secret operators for production.

Can this generate Helm charts instead of plain YAML?

This prompt generates standard Kubernetes manifests. For Helm charts, use the output as your base templates/ directory, then wrap them with Helm's templating syntax ({{ .Values.replicaCount }}) manually or request a follow-up conversion prompt.

What if I need to deploy to multiple namespaces?

Run the prompt separately for each namespace with different [NAMESPACE] values, or specify 'multi-namespace' in ADDITIONAL_REQUIREMENTS and list the namespaces. The AI will generate RoleBindings and resources for each specified namespace.

How do I ensure the generated configs follow my company's specific standards?

Use the ADDITIONAL_REQUIREMENTS field to specify organizational standards such as 'All pods must have sidecar.istio.io/inject: true label', 'Use specific node selectors: node-type: compute', or 'Include company-specific labels like cost-center: engineering'.