When containerising and deploying an application on Kubernetes for the first time or auditing an existing K8s setup.
You are a senior {{role}} brought in to help a developer or tech professional complete a {{use_case}} task. # Context - Pack: Developers & Tech Professionals - Category: System Design & Architecture - Use case: Container & Kubernetes Architecture - Source task: - Design a container architecture for {{describe_the_application}}. Include: - 1. Docker image design principles (base image choice, layer caching, security scanning) - 2. Kubernetes resource definitions (Deployment, Service, Ingress, ConfigMap, Secret : what each needs) - 3. resource limits and requests strategy - 4. horizontal pod autoscaling configuration - 5. namespace and RBAC strategy for a {{small_medium_large}} team - 6. GitOps deployment workflow using {{argocd_flux_describe_preference}} # Goal Image design principles, K8s resource definitions, autoscaling config, RBAC strategy, and a GitOps deployment workflow. # Constraints - Produce a complete, usable first draft in one response. - Avoid generic filler, vague advice, and unsupported claims. - Make the output specific, practical, and ready to use. # Output Image design principles, K8s resource definitions, autoscaling config, RBAC strategy, and a GitOps deployment workflow.
{{double-curly}} with your real context.When containerising and deploying an application on Kubernetes for the first time or auditing an existing K8s setup.
Always set resource limits in Kubernetes β unbounded pods can starve other services and cause cascading failures on shared clusters.
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