How does this skill help with dashboard design?

It provides structural guidance based on industry-standard RED and USE methods to ensure your metrics are actionable, organized by hierarchy, and easy to interpret during incidents.

Can I use this for Kubernetes environments?

Yes, the skill includes specific patterns and variables for monitoring Kubernetes namespaces, services, and pod-level metrics.

Does it support Dashboard as Code?

Absolutely. It provides templates and implementation patterns for provisioning Grafana dashboards using Terraform and Ansible.

What types of visualizations are supported?

The skill covers a wide range of panels including Stat panels for single values, Time Series graphs for trends, Table panels for service status, and Heatmaps for latency distribution.

Grafana Dashboard Expert

Name: Grafana Dashboard Expert
Author: HermeticOrmus

byHermeticOrmus

Analytics & Monitoring

Builds and manages production-ready Grafana dashboards for real-time observability and metric visualization.

About

This skill enables developers to design, implement, and maintain professional-grade Grafana dashboards for comprehensive system observability. It provides expert guidance on visualization best practices using the RED (Rate, Errors, Duration) and USE (Utilization, Saturation, Errors) methods, supports a wide variety of panel types including heatmaps and time-series graphs, and facilitates automated infrastructure management through Dashboard-as-Code patterns like Terraform and Ansible. Whether you are monitoring microservices, databases, or cloud infrastructure, this skill ensures your dashboards are performant, scalable, and actionable.

Key Features

Dynamic dashboarding using template variables and Prometheus queries
Integrated alerting configuration for proactive incident management
Dashboard-as-Code provisioning using Terraform and Ansible
0 GitHub stars
Implementation of RED and USE monitoring methodologies
Support for diverse panel types including Stat, Time Series, and Heatmaps

Use Cases

Monitoring infrastructure performance and database query latency
Creating SLO and SLI tracking dashboards for production services
Visualizing Prometheus metrics for microservices and API health

About

Key Features

Dynamic dashboarding using template variables and Prometheus queries
Integrated alerting configuration for proactive incident management
Dashboard-as-Code provisioning using Terraform and Ansible
0 GitHub stars
Implementation of RED and USE monitoring methodologies
Support for diverse panel types including Stat, Time Series, and Heatmaps

Use Cases

Monitoring infrastructure performance and database query latency
Creating SLO and SLI tracking dashboards for production services
Visualizing Prometheus metrics for microservices and API health