K8s Fta Skillv0.1.0

Automatically diagnose and resolve Pods stuck in CrashLoopBackOff state by analyzing container logs and previous logs to identify application errors, configuration issues, or dependency failures. Provides actionable fixes like correcting configuration files or adjusting health check timeouts.

Systematically troubleshoot PersistentVolumeClaim (PVC) binding issues and storage class misconfigurations in production Kubernetes clusters. Offers automated checks on PVC/PV status and suggests fixes for storage driver problems or quota limitations.

Resolve service access failures by automatically inspecting Service configurations, endpoints, and Ingress rules. Identifies mismatched selectors, port mapping errors, or network policy restrictions, with recommendations to correct configurations and ensure backend Pod readiness.

Diagnose and fix RBAC-related access issues in multi-tenant Kubernetes environments by checking roles, cluster roles, and bindings. Provides commands to verify permissions and suggests updates to ServiceAccount configurations or role bindings.

Automatically detect and address OOMKilled incidents and resource quota exhaustion by analyzing Pod memory limits, actual usage, and node resource pressure. Recommends increasing memory limits, optimizing applications, or scaling node resources.

Offer this skill as part of a cloud-based troubleshooting platform with tiered subscriptions (e.g., basic, pro, enterprise) based on usage limits and support levels. Revenue comes from monthly or annual fees per user or cluster.

Integrate the skill into consulting packages for Kubernetes cluster management, charging clients per incident or on a retainer basis for automated diagnostics and fixes. Revenue is generated from service contracts and hourly rates.

Sell enterprise licenses for on-premise deployment in large organizations, with customization options and premium support. Revenue includes one-time license fees and annual maintenance contracts for updates and technical assistance.