Optimized for: Gemini / ChatGPT / Claude
Advanced AI Prompt for High-Availability Kubernetes Deployment with HPA
Use this engineered prompt to drastically optimize your workflow and output.
Required Variables
- ✦
[SERVICE_NAME] - ✦
[DOCKER_IMAGE] - ✦
[CPU_REQUEST] - ✦
[MEMORY_LIMIT] - ✦
[MAX_REPLICAS]
k8s-deployment-hpa-autoscaling-generator.txt
Act as a Senior DevOps Engineer. Create a production-grade Kubernetes Deployment manifest and a HorizontalPodAutoscaler (HPA) for the service '[SERVICE_NAME]'. Requirements: Use image '[DOCKER_IMAGE]', set CPU requests to '[CPU_REQUEST]' and memory limits to '[MEMORY_LIMIT]'. The HPA must scale up to '[MAX_REPLICAS]' based on 70% CPU utilization. Include readiness and liveness probes using HTTP GET on port 8080, and implement a rolling update strategy with a maxSurge of 25%.
Example Output
"The AI will generate a YAML file containing a Deployment with resource constraints and health checks, plus an HPA resource targeting the deployment's metrics."