Does it support custom business metrics?

Absolutely. It includes implementation patterns for the Cloudflare Analytics Engine to track custom events such as user logins, tenant activity, or specific operation durations.

Can I use this for real-time production debugging?

Yes, the skill provides specific commands and patterns for using wrangler tail to stream and filter live production logs by status code, method, or IP address.

How are health checks implemented?

The skill provides a template for a standardized /api/health endpoint that verifies connectivity to databases and Redis, which can then be monitored by Cloudflare's automated health check service.

How does this skill improve Cloudflare Workers logging?

It implements structured JSON logging which makes logs easily searchable and filterable in the Cloudflare dashboard, including critical metadata like request IDs and user context.

Grey Haven Observability & Monitoring

Name: Grey Haven Observability & Monitoring
Author: greyhaven-ai

bygreyhaven-ai

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분석 및 모니터링

Implements production-grade observability for Cloudflare Workers using structured logging, real-time log streaming, and custom performance metrics.

소개

This skill provides a robust framework for monitoring Cloudflare Workers applications, integrating essential tools like wrangler tail, Analytics Engine, and automated health checks. It enables developers to implement structured JSON logging for better searchability, track custom business events, and maintain high availability through proactive health monitoring of databases and external services. It is an essential toolkit for developers moving from basic console logs to a comprehensive observability stack with real-time debugging capabilities and detailed error context.

주요 기능

Real-time log streaming and advanced filtering using wrangler tail
Custom event tracking via Cloudflare Analytics Engine datasets
15 GitHub stars
Automated health check endpoints for database and external service monitoring
Structured JSON logging with request ID tracking and environment context
Comprehensive performance metrics including P95/P99 latency and CPU usage

사용 사례

Setting up production-ready monitoring for new Cloudflare Workers projects
Debugging intermittent production errors using filtered real-time log streams
Tracking business-critical custom events and user interactions for analytics

소개

주요 기능

Real-time log streaming and advanced filtering using wrangler tail
Custom event tracking via Cloudflare Analytics Engine datasets
15 GitHub stars
Automated health check endpoints for database and external service monitoring
Structured JSON logging with request ID tracking and environment context
Comprehensive performance metrics including P95/P99 latency and CPU usage

사용 사례

Setting up production-ready monitoring for new Cloudflare Workers projects
Debugging intermittent production errors using filtered real-time log streams
Tracking business-critical custom events and user interactions for analytics