What monitoring tools does this skill support?

The skill provides implementation guidance for a wide array of tools including UptimeRobot, Sentry, Prometheus, Grafana, Loki, Datadog, and Uptime Kuma.

What are the RED and USE methods mentioned?

The RED method (Rate, Errors, Duration) is used for monitoring application requests, while the USE method (Utilization, Saturation, Errors) is used for tracking infrastructure health.

Can I use this for both cloud and self-hosted setups?

Yes, it covers both managed services like Datadog or Grafana Cloud and self-hosted open-source stacks deployed on your own infrastructure.

How does this skill help prevent alert fatigue?

It implements alerting principles that focus on symptoms and user impact rather than raw system causes, ensuring every alert is actionable and includes a runbook.

Application & Infrastructure Monitoring

Name: Application & Infrastructure Monitoring
Author: dvcrn

bydvcrn

•

Analíticas y Monitorización

Sets up comprehensive observability stacks including metrics, logs, traces, and automated alerting for any application or infrastructure environment.

This skill empowers Claude to design and implement robust monitoring solutions tailored to your specific project needs, from simple side-project uptime checks to complex enterprise observability. It provides expert guidance on the 'Three Pillars of Observability'—metrics, logs, and traces—while applying industry-standard methodologies like the RED method for applications and the USE method for infrastructure. By integrating best practices for alerting and cost management, this skill helps developers build reliable systems that provide deep visibility into performance bottlenecks and production errors without inducing alert fatigue.

Características Principales

01Log centralization and distributed tracing setup using Prometheus, Grafana, Loki, and Sentry

02Tiered setup guidance for minimal, standard, professional, and enterprise monitoring levels

033 GitHub stars

04Comparative cost analysis for managed solutions versus self-hosted monitoring stacks

05Implementation of RED (Rate, Errors, Duration) and USE (Utilization, Saturation, Errors) frameworks

06Strategic alerting configuration with runbook integration to prevent alert fatigue

Casos de Uso

01Configuring a full Prometheus and Grafana stack for production Kubernetes clusters

02Setting up error tracking and APM for web applications using Sentry or New Relic

03Designing automated health checks and uptime monitoring for high-availability services

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dvcrn/openclaw-skills-marketplace monitoring

For use in Claude.ai and ChatGPT

Características Principales

01Log centralization and distributed tracing setup using Prometheus, Grafana, Loki, and Sentry

02Tiered setup guidance for minimal, standard, professional, and enterprise monitoring levels

033 GitHub stars

04Comparative cost analysis for managed solutions versus self-hosted monitoring stacks

05Implementation of RED (Rate, Errors, Duration) and USE (Utilization, Saturation, Errors) frameworks

06Strategic alerting configuration with runbook integration to prevent alert fatigue

Casos de Uso

01Configuring a full Prometheus and Grafana stack for production Kubernetes clusters

02Setting up error tracking and APM for web applications using Sentry or New Relic

03Designing automated health checks and uptime monitoring for high-availability services