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davidcastagnetoa/skills

prometheus_grafana

Stack de métricas y dashboards para visibilidad del pipeline KYC en tiempo real

First seen Mar 6, 2026

Installation

$ npx skills add davidcastagnetoa/skills --skill prometheus_grafana
View on skills.sh ↗ GitHub repository ↗

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 1
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,550 B
  • docs SUMMARY.md 106 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 5 installs

SKILL.md

prometheus_grafana

Prometheus recolecta métricas de todos los servicios. Grafana las visualiza en dashboards. Juntos proporcionan visibilidad completa del rendimiento del pipeline y alertas tempranas.

When to use

Instrumentar todos los agentes con métricas de Prometheus desde el primer día de desarrollo.

Instructions

  1. Instalar cliente Python: pip install prometheus-client.
  2. Definir métricas en cada agente:

``python from prometheusclient import Counter, Histogram, Gauge verificationtotal = Counter('kycverificationstotal', 'Total verifications', ['status']) pipelineduration = Histogram('kycpipelinedurationseconds', 'Pipeline latency', buckets=[0.5,1,2,4,8,16]) activesessions = Gauge('kycactive_sessions', 'Active KYC sessions') ``

  1. Exponer endpoint: GET /metrics en cada servicio.
  2. Configurar Prometheus para scraping cada 15s.
  3. Importar dashboards de Grafana para FastAPI, Celery, Redis, PostgreSQL, NVIDIA GPU desde Grafana Hub.
  4. Crear dashboard KYC personalizado: tasa de aprobación/rechazo, latencia por fase, scores de distribución.
  5. Configurar alertas: latencia p95 > 8s, tasa de error > 1%, GPU utilization < 10% (worker caído).

Notes

  • Helm chart: kube-prometheus-stack incluye Prometheus + Grafana + Alertmanager preconfigurado.
  • Guardar los dashboards en Git como JSON para GitOps.