How do I test existing Grafana alerts using this skill?

The skill provides specialized commands to fetch alert rule definitions from the Grafana API and test their underlying PromQL queries against Prometheus.

Is it possible to monitor disk usage on Persistent Volume Claims (PVCs)?

Yes, it includes PromQL queries to track filesystem usage percentages and identify volumes that are nearing capacity.

Can I use this skill to check for OOM kills?

Yes, the skill includes specific queries to identify memory usage patterns and detect pods in CrashLoopBackOff states caused by resource exhaustion.

Does this require manual port-forwarding to access metrics?

While it provides commands for port-forwarding to the Prometheus UI, it can also query metrics directly via kubectl exec commands to the backend services.

Can I analyze Istio service mesh metrics with this skill?

Yes, the skill supports querying Istio-specific metrics including request duration (p95 latency), error rates, and total traffic volume.

Metrics & Performance Analytics

Name: Metrics & Performance Analytics
Author: redhat-et

byredhat-et

Analíticas y Monitorización

Queries Prometheus metrics and analyzes resource usage to optimize platform performance and service health.

Acerca de

This skill empowers developers to monitor and troubleshoot the Kagenti platform by providing deep integration with Prometheus and Grafana. It enables real-time querying of CPU, memory, and network metrics using PromQL, assists in identifying resource bottlenecks, and verifies service availability through pod status checks. Whether you are investigating a performance dip or planning cluster capacity, this skill provides the CLI commands and query patterns needed to maintain high-performance deployments.

Características Principales

Monitor network traffic rates and I/O performance across containers
Verify service health and identify pod status issues like CrashLoopBackOff
0 GitHub stars
Execute complex PromQL queries directly from the command line
Access and test Grafana alert rules and Prometheus scrape targets
Analyze real-time CPU, memory, and disk usage across Kubernetes namespaces

Casos de Uso

Diagnosing high resource consumption or OOM kills in Kubernetes pods
Verifying service health and availability after a new deployment
Capacity planning by analyzing long-term resource trends and usage limits

Acerca de

Características Principales

Monitor network traffic rates and I/O performance across containers
Verify service health and identify pod status issues like CrashLoopBackOff
0 GitHub stars
Execute complex PromQL queries directly from the command line
Access and test Grafana alert rules and Prometheus scrape targets
Analyze real-time CPU, memory, and disk usage across Kubernetes namespaces

Casos de Uso

Diagnosing high resource consumption or OOM kills in Kubernetes pods
Verifying service health and availability after a new deployment
Capacity planning by analyzing long-term resource trends and usage limits