What are the RED and USE methods in Grafana dashboards?

The RED method (Rate, Errors, Duration) is used for monitoring services, while the USE method (Utilization, Saturation, Errors) is designed for hardware and resource monitoring.

Does it support dynamic filtering in dashboards?

Yes, it provides templates for query variables, enabling you to build dashboards that can filter metrics by namespace, service, instance, or other metadata.

How do I provision Grafana dashboards as code?

This skill provides configuration patterns for Terraform and Ansible, allowing you to deploy dashboard JSON files automatically to your Grafana instances.

Can this skill help with Prometheus integration?

Yes, it includes specific PromQL query examples and dashboard panel configurations designed to work seamlessly with Prometheus data sources.

Grafana Dashboards

Name: Grafana Dashboards
Author: HermeticOrmus

byHermeticOrmus

분석 및 모니터링

Create and manage production-ready Grafana dashboards for real-time visualization of system, infrastructure, and application metrics.

소개

This skill empowers developers to build comprehensive observability interfaces using Grafana, focusing on production-grade standards and industry-standard monitoring methodologies like RED and USE. It provides standardized templates for API, infrastructure, and database monitoring, while offering deep technical guidance on panel configuration, dashboard variables, and automated provisioning via Terraform or Ansible. Whether you are implementing Service Level Objectives (SLOs) or tracking business KPIs, this skill streamlines the process of transforming raw metrics into actionable visual insights.

주요 기능

0 GitHub stars
Implementation of RED and USE monitoring methodologies
Advanced panel configuration for Stat, Time Series, Tables, and Heatmaps
Dashboard-as-Code provisioning with Terraform and Ansible
Dynamic dashboard variables for multi-environment filtering
Standardized templates for API, Infrastructure, and Database dashboards

사용 사례

Building real-time API performance and error rate monitors
Visualizing database performance metrics, query latency, and connection pools
Creating comprehensive infrastructure health dashboards for Kubernetes and cloud nodes

소개

주요 기능

0 GitHub stars
Implementation of RED and USE monitoring methodologies
Advanced panel configuration for Stat, Time Series, Tables, and Heatmaps
Dashboard-as-Code provisioning with Terraform and Ansible
Dynamic dashboard variables for multi-environment filtering
Standardized templates for API, Infrastructure, and Database dashboards

사용 사례

Building real-time API performance and error rate monitors
Visualizing database performance metrics, query latency, and connection pools
Creating comprehensive infrastructure health dashboards for Kubernetes and cloud nodes