Dt Obs Kubernetes

This handles Kubernetes monitoring through Dynatrace DQL queries, covering cluster health, pod failures, resource optimization, and security posture. You'll use it when debugging OOMKills, tracking pod restarts, analyzing node capacity, or finding over-provisioned workloads. The skill includes both metrics-based troubleshooting (CPU usage, restart counts) and event-based analysis through Kubernetes operational events. One smart detail: it clearly separates K8S_POD entities from CONTAINER entities and shows how to traverse between them, which saves you from common query mistakes. Best for infrastructure-level K8s work rather than application metrics or distributed tracing.

skills.sh installs: 2.8K
GitHub stars: 177
last updated: Aug 21, 2026

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Install

$ npx -y skills add dynatrace/dynatrace-for-ai --skill dt-obs-kubernetes --agent claude-code

Installs into .claude/skills of the current project.

Files

Infrastructure Kubernetes

Monitor and analyze Kubernetes infrastructure using Dynatrace DQL. Query cluster resources, monitor workload health, analyze pod placement, optimize costs, and assess security posture.

When to Use This Skill

Monitoring Kubernetes cluster health and capacity
Analyzing pod and container resource utilization
Investigating pod failures, OOMKills, evictions, or crash loops
Debugging degraded deployments, stuck rollouts, or node pressure
Optimizing Kubernetes resource costs
Assessing security posture and compliance
Troubleshooting workload scheduling and placement
Auditing ingress routing and network policies

Knowledge Base Structure

Core Monitoring (Start Here)

Cluster Inventory → references/cluster-inventory.md - Clusters, namespaces, resource distribution
Node Monitoring - Node capacity, CPU/memory usage, pod density
Pod Monitoring - Pod CPU, memory, lifecycle events
Workload Monitoring - Deployment, StatefulSet, DaemonSet resources