Does it support custom dashboard targets?

Absolutely. You can use the skill to search for specific dashboard names or themes across your OpenShift context and export them for editing and validation.

Can this skill sync with GitOps?

Yes, the workflow includes steps to verify live synchronization status and provides a final summary to help operators promote validated changes into GitOps-managed source repositories.

How does this skill validate PromQL queries?

It uses a dedicated scanning script that checks your dashboard JSON against the Thanos API to ensure all queries report success and contain no parse errors before deployment.

What is the L1-L3 information architecture?

It is a design rule where L1 contains critical tenant-impact signals, L2 contains platform services by dependency, and L3 contains deep-dive diagnostics, preventing operator information overload.

Grafana Platform Dashboard Manager

Name: Grafana Platform Dashboard Manager
Author: boshu2

byboshu2

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332

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Analíticas y Monitorización

Manages and validates OpenShift Grafana dashboards using a structured information architecture and PromQL reliability checks.

This skill provides a specialized workflow for designing and maintaining high-reliability platform operations dashboards on OpenShift. It enables operators to export existing dashboards, perform comprehensive PromQL validation via Thanos, and apply updates safely while adhering to a strict three-tier information architecture. By prioritizing critical tenant-impact signals in the top layer and moving deep-dive diagnostics to lower levels, the skill ensures that observability tools remain low-noise and actionable. It utilizes a pre-vetted PromQL library and platform contracts to maintain consistency across complex infrastructure environments.

Características Principales

01Automated PromQL validation using Thanos to ensure query accuracy before deployment

02Integration with platform contracts and standardized PromQL libraries

03Round-trip dashboard management (export, edit, apply) for OpenShift environments

04332 GitHub stars

05Tiered information architecture enforcement (L1-L3) for noise reduction and clarity

06Verification of dashboard synchronization status and operator-focused risk summaries

Casos de Uso

01Validating and scanning complex PromQL queries across multiple namespaces for errors

02Refactoring platform dashboards to focus on tenant-impacting critical signals

03Implementing standardized observability layouts across OpenShift clusters

Características Principales

01Automated PromQL validation using Thanos to ensure query accuracy before deployment

02Integration with platform contracts and standardized PromQL libraries

03Round-trip dashboard management (export, edit, apply) for OpenShift environments

04332 GitHub stars

05Tiered information architecture enforcement (L1-L3) for noise reduction and clarity

06Verification of dashboard synchronization status and operator-focused risk summaries

Casos de Uso

01Validating and scanning complex PromQL queries across multiple namespaces for errors

02Refactoring platform dashboards to focus on tenant-impacting critical signals

03Implementing standardized observability layouts across OpenShift clusters