dt-obs-kubernetes

Query Kubernetes inventory and diagnose deployment, pod, and node health with Dynatrace DQL.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/virtualrussel/dynatrace-ai-workspace --skill dt-obs-kubernetes-virtualrussel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dt-obs-kubernetes
Source: https://github.com/virtualrussel/dynatrace-ai-workspace/tree/main/.agents/skills/dt-obs-kubernetes
Command: npx skills add https://github.com/virtualrussel/dynatrace-ai-workspace --skill dt-obs-kubernetes-virtualrussel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Kubernetes environments can become opaque as clusters scale, making it hard to quickly identify health, placement, and rollout issues across namespaces. This skill enables unified visibility into Kubernetes resources using Dynatrace DQL, enabling faster root-cause analysis and proactive optimization.

Core Features & Use Cases

  • Inventory and health checks for clusters, nodes, pods, and workloads
  • Pod/node placement analysis, rollout health, and ingress/network policy audits
  • Real-world use: rapidly surface misbehaving deployments and misconfigured network policies across multi-namespace setups

Quick Start

Ask Dynatrace to inventory your Kubernetes cluster and surface health, placement, and rollout status across namespaces.

Frequently Asked Questions about dt-obs-kubernetes

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

FAQPage Schema
How do I check Kubernetes deployment health and pod readiness across multiple namespaces?

Check Kubernetes deployment health by querying cluster inventory and diagnosing pod and node readiness across multiple namespaces using Dynatrace DQL. This provides unified visibility to rapidly identify health, placement, and rollout issues.

What is the best way to troubleshoot Kubernetes rollout issues using Dynatrace DQL?

Troubleshoot Kubernetes rollout issues by querying workload inventory with Dynatrace DQL to surface misbehaving deployments across multi-namespace clusters. This enables faster root-cause analysis and proactive resource optimization.

Can I audit Kubernetes ingress and network policies across multi-namespace clusters?

Yes, you can audit Kubernetes ingress and network policies across multi-namespace clusters using Dynatrace DQL. The skill surfaces misconfigured network policies to help maintain cluster security and connectivity.

Does Dynatrace DQL support pod placement analysis for Kubernetes nodes?

Yes, Dynatrace DQL supports pod and node placement analysis by querying Kubernetes inventory. This helps diagnose deployment health, resource optimization, and node readiness within your clusters.

Why are my Kubernetes pods not ready across different namespaces?

Kubernetes pods may not be ready due to health, placement, or rollout issues across namespaces. Querying Dynatrace DQL helps diagnose pod and node readiness, enabling faster root-cause analysis for multi-namespace clusters.