Can I use this for database performance monitoring?

Yes, it provides specific patterns for Prisma query logging, including logic to detect and log slow database queries.

How does it handle request tracking?

It utilizes Node.js AsyncLocalStorage to propagate request IDs and context, allowing you to correlate logs across entire asynchronous operations.

Does this skill help with security compliance?

Yes, it includes pre-configured redaction patterns to ensure sensitive information like passwords and tokens are never written to your logs.

Which logging libraries are compatible with this skill?

The skill includes specific implementation patterns for Pino and Winston, which are the industry standards for Node.js logging.

Is this skill suitable for microservices?

Absolutely. It includes OpenTelemetry and distributed tracing setup which are essential for maintaining visibility across multiple services.

Production Logging & Observability

Name: Production Logging & Observability
Author: JaveedIshaq

byJaveedIshaq

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Analytics & Monitoring

Implements structured logging, distributed tracing, and real-time metrics for production-grade Node.js applications.

About

This skill provides a comprehensive framework for implementing robust observability in modern applications. It equips Claude with standardized patterns for structured logging using Pino and Winston, context propagation using AsyncLocalStorage to track requests across asynchronous boundaries, and integration with industry-standard monitoring tools like Prometheus and OpenTelemetry. By using these patterns, developers can ensure their services are transparent, debuggable, and ready for high-scale production environments.

Key Features

Structured logging templates for Pino and Winston
Production-grade sensitive data redaction patterns
Distributed tracing implementation with OpenTelemetry
Real-time metrics for HTTP and business logic via Prometheus
Request-aware context propagation via AsyncLocalStorage
1 GitHub stars

Use Cases

Implementing request-scoped logging to track user journeys
Standardizing observability across a microservices architecture
Setting up performance monitoring and slow-query detection in databases

About

Key Features

Structured logging templates for Pino and Winston
Production-grade sensitive data redaction patterns
Distributed tracing implementation with OpenTelemetry
Real-time metrics for HTTP and business logic via Prometheus
Request-aware context propagation via AsyncLocalStorage
1 GitHub stars

Use Cases

Implementing request-scoped logging to track user journeys
Standardizing observability across a microservices architecture
Setting up performance monitoring and slow-query detection in databases