What methodologies does this skill support?

It supports the RED method (Rate, Errors, Duration) for service-level monitoring and the USE method (Utilization, Saturation, Errors) for infrastructure resource monitoring.

What types of visualization panels can I create?

The skill provides templates for Stat panels (single value), Time Series graphs, Table panels, and Latency Heatmaps using standardized JSON structures.

How does this skill help with alerting?

It provides ready-to-use JSON structures for defining alert conditions, evaluation frequencies, and notification channels directly within your dashboard configurations.

Can I use this for 'Dashboard as Code' workflows?

Yes, the skill provides specific implementation patterns and snippets for provisioning dashboards via Terraform and Ansible.

Does it support dynamic filtering within dashboards?

Absolutely. It includes guidance on setting up query variables for namespaces, services, and instances to allow for dynamic, interactive dashboard filtering.

Grafana Dashboard Management

Name: Grafana Dashboard Management
Author: HermeticOrmus

byHermeticOrmus

Analíticas y Monitorización

Generates and manages production-grade Grafana dashboards for real-time system observability and metric visualization.

Acerca de

This skill empowers developers to design and implement comprehensive Grafana dashboards using industry-standard methodologies like RED (Rate, Errors, Duration) and USE (Utilization, Saturation, Errors). It provides structured guidance for creating diverse panel types, configuring dynamic variables, and setting up automated alerts. Whether you are monitoring API performance, infrastructure health, or database metrics, this skill streamlines the process of building dashboards-as-code through JSON configurations, Terraform, and Ansible patterns, ensuring your operational observability is both scalable and maintainable.

Características Principales

Standardized dashboard design using RED and USE methodologies
Automated JSON configuration for diverse panel types including Stat, Time Series, and Heatmaps
Dynamic variable templating for flexible, multi-environment monitoring
Integrated alerting systems for proactive system health notifications
Support for 'Dashboard as Code' using Terraform and Ansible provisioning
0 GitHub stars

Casos de Uso

Implementing SLO and SLA tracking dashboards for production services
Creating detailed operational interfaces for database and API performance monitoring
Visualizing Prometheus metrics for microservices and cloud infrastructure

Acerca de

Características Principales

Standardized dashboard design using RED and USE methodologies
Automated JSON configuration for diverse panel types including Stat, Time Series, and Heatmaps
Dynamic variable templating for flexible, multi-environment monitoring
Integrated alerting systems for proactive system health notifications
Support for 'Dashboard as Code' using Terraform and Ansible provisioning
0 GitHub stars

Casos de Uso

Implementing SLO and SLA tracking dashboards for production services
Creating detailed operational interfaces for database and API performance monitoring
Visualizing Prometheus metrics for microservices and cloud infrastructure