Does this skill help with infrastructure alerting?

Yes, it includes specific Prometheus alert rules for monitoring service availability, memory usage, high latency, and elevated error rates.

Can I track business-specific data with these patterns?

Absolutely. It includes examples for custom counters and histograms to track business events like successful orders, payment methods, and active user counts.

How are health checks handled?

The skill provides patterns for both Liveness probes (is the app running) and Readiness probes (is the app ready to handle traffic), including dependency checks for databases and APIs.

Which logging framework does this skill recommend?

The skill focuses on Pino for Node.js, as it provides high-performance structured logging with built-in support for log levels and sensitive data redaction.

Monitoring & Logging

Name: Monitoring & Logging
Author: miles990

bymiles990

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Analíticas y Monitorización

Implements comprehensive application observability through structured logging, metrics collection, and automated alerting systems.

Acerca de

This skill provides standardized patterns and best practices for building robust observability into modern software applications. It covers high-performance structured logging using Pino, multi-dimensional metrics collection with Prometheus, and proactive alerting configurations for platforms like PagerDuty. By following these implementation patterns, developers can ensure their systems are production-ready, easily debuggable, and equipped with the necessary dashboards and health checks to maintain high availability and performance.

Características Principales

1 GitHub stars
Structured logging with Pino including PII redaction and request context
Prometheus metrics collection for HTTP performance, database health, and business logic
Standardized liveness and readiness health check implementations for orchestrators
Grafana dashboard JSON templates for real-time visualization of system health
Pre-configured alerting rules for high error rates, latency, and service downtime

Casos de Uso

Setting up production-grade observability for a new Node.js microservice
Configuring automated incident response and paging for critical system failures
Implementing business-level metrics to track conversion rates and user activity

Acerca de

Características Principales

1 GitHub stars
Structured logging with Pino including PII redaction and request context
Prometheus metrics collection for HTTP performance, database health, and business logic
Standardized liveness and readiness health check implementations for orchestrators
Grafana dashboard JSON templates for real-time visualization of system health
Pre-configured alerting rules for high error rates, latency, and service downtime

Casos de Uso

Setting up production-grade observability for a new Node.js microservice
Configuring automated incident response and paging for critical system failures
Implementing business-level metrics to track conversion rates and user activity