Does it support dynamic filtering for multi-tenant environments?

Absolutely, it includes templates for query variables that allow you to dynamically filter dashboards by namespace, service, or instance.

What monitoring methodologies are supported?

The skill follows the RED method (Rate, Errors, Duration) for services and the USE method (Utilization, Saturation, Errors) for infrastructure resources.

Does this skill support Dashboard as Code?

Yes, it includes implementation patterns and code snippets for provisioning Grafana dashboards using Terraform and Ansible.

Can I create custom alerts with this skill?

Yes, it provides JSON structures for configuring dashboard-level alerts, including thresholds, evaluators, and notification channel links.

Are there specific templates for database monitoring?

Yes, the skill includes patterns for tracking database-specific metrics such as query latency, connection pool usage, and replication lag.

Grafana Dashboard Management

Name: Grafana Dashboard Management
Author: drgaciw

bydrgaciw

Analytics & Monitoring

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

About

This skill provides specialized guidance for designing, implementing, and automating Grafana dashboards. It implements industry-standard monitoring methodologies like RED (Rate, Errors, Duration) and USE (Utilization, Saturation, Errors) to ensure comprehensive system visibility. Whether you're building API monitoring, infrastructure overviews, or database dashboards, it offers structured JSON templates, alert configurations, and 'Dashboard as Code' patterns using Terraform and Ansible for scalable and repeatable observability workflows.

Key Features

Standardized monitoring patterns including RED and USE methods
Pre-configured alerting rules and notification channel integration
JSON templates for diverse panel types like Heatmaps and Time Series
0 GitHub stars
Dynamic dashboard variables for multi-environment filtering
Automated provisioning patterns via Terraform and Ansible

Use Cases

Implementing Service Level Objective (SLO) tracking dashboards
Building production-ready API and microservices monitoring systems
Visualizing infrastructure health and hardware resource utilization

About

Key Features

Standardized monitoring patterns including RED and USE methods
Pre-configured alerting rules and notification channel integration
JSON templates for diverse panel types like Heatmaps and Time Series
0 GitHub stars
Dynamic dashboard variables for multi-environment filtering
Automated provisioning patterns via Terraform and Ansible

Use Cases

Implementing Service Level Objective (SLO) tracking dashboards
Building production-ready API and microservices monitoring systems
Visualizing infrastructure health and hardware resource utilization