monitoring-deployment

Monitor Kubernetes cluster health and readiness across all namespaces every 30 seconds.

3|2|Updated Sep 25, 2025
One-click install
npx skills add https://github.com/oci-ai-incubations/ai-accelerator-starter-packs --skill monitoring-deployment
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: monitoring-deployment
Source: https://github.com/oci-ai-incubations/ai-accelerator-starter-packs/tree/main/.claude/skills/monitoring-deployment
Command: npx skills add https://github.com/oci-ai-incubations/ai-accelerator-starter-packs --skill monitoring-deployment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Continuously polls ORM job status and scans cluster health across all namespaces, providing a structured view of health at every cycle to help operators identify issues early.

Core Features & Use Cases

  • Cluster-wide health checks: monitors nodes, pods, PVCs, Helm releases, and ORM job status across all namespaces.
  • Deterministic cycle reporting: outputs a complete status report every 30 seconds, including logs and health metrics.
  • Operational awareness: ideal for monitoring running deployments or when asked to "check what is running" or "monitor the deploy" to surface issues quickly.

Quick Start

Start Monitoring Deployment to begin continuous health checks on your cluster.

Frequently Asked Questions about monitoring-deployment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I monitor Kubernetes cluster health during an active deployment?

To monitor Kubernetes cluster health during active deployments, use a tool that continuously polls your cluster to scan nodes, pods, PVCs, and Helm releases across all namespaces, surfacing a structured status overview with metrics and logs every 30 seconds.

What is the best way to check pod and node readiness across all namespaces?

Checking pod and node readiness across all namespaces is best achieved by running continuous cluster health monitoring that polls every 30 seconds and outputs a deterministic cycle status block reporting detailed metrics and logs.

Do I need kubectl and ORM job data to monitor cluster deployments?

Yes, monitoring cluster deployments requires access to kubectl and ORM job status data to continuously poll your Kubernetes clusters for health and readiness, allowing the monitor to detect issues across all namespaces during active deployments.

Can I detect Helm release issues while monitoring a Kubernetes deploy?

Yes, detecting Helm release issues while monitoring a Kubernetes deploy is supported because the continuous health checking scans Helm releases alongside pods, nodes, and PVCs across all namespaces every 30 seconds.

How does continuous cycle reporting work for Kubernetes monitoring?

Continuous cycle reporting for Kubernetes monitoring works by polling ORM job status and cluster health every 30 seconds, outputting a complete structured status report with detailed metrics and logs to help operators identify issues early.