observability

Add structured logging, metrics, and distributed tracing to services.

Updated Mar 15, 2026
One-click install
npx skills add https://github.com/a53ali/ai-dev --skill observability-a53ali
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: observability
Source: https://github.com/a53ali/ai-dev/tree/main/skills/cross-cutting/observability
Command: npx skills add https://github.com/a53ali/ai-dev --skill observability-a53ali

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires opentelemetry, logging, monitoring, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps to overcome the lack of visibility into a service or monolith by adding structured logging, metrics, and distributed tracing, thereby improving the ability to debug, validate deployments, and understand user behavior.

Core Features & Use Cases

  • Structured Logging: Enforce JSON formatted logs with required fields for easy querying and correlation.
  • Metrics: Instrument the four golden signals for latency, traffic, errors, and saturation.
  • Distributed Tracing: Implement OpenTelemetry compliant tracing for end-to-end request tracing in both monolithic and distributed systems.
  • Use Case: A team may use this Skill before a major release to ensure their service is fully instrumented for observability, including setting up alerts and monitoring dashboards.

Quick Start

Apply the observability skill to add observability features to your service.

Frequently Asked Questions about observability

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement structured logging and distributed tracing for a service?

Structured logging and distributed tracing are implemented by enforcing JSON formatted logs with required fields and applying OpenTelemetry compliant tracing for end-to-end request visibility. This enhances debugging and user behavior analysis across monolithic and distributed architectures.

What are the four golden signals of monitoring and how do I instrument them?

The four golden signals of monitoring are latency, traffic, errors, and saturation. You instrument them by tracking these key performance metrics to ensure full visibility into service health, validate deployments, and understand user behavior.

Do I need OpenTelemetry to set up metrics and alerting for my application?

Yes, you need OpenTelemetry to set up metrics and alerting, as this observability implementation requires OpenTelemetry instrumentation. It relies on monitoring tools to establish distributed tracing and track the four golden signals effectively.

Can I use observability instrumentation for both monolithic and distributed architectures?

Yes, you can use observability instrumentation for both monolithic and distributed architectures. It is specifically designed to implement OpenTelemetry compliant tracing and structured logging across either system type to improve debugging and deployment validation.

What is the best way to add observability features before a major release?

The best way to add observability features before a major release is to apply structured logging, key performance metrics, and distributed tracing. This ensures your service is fully instrumented for observability, including setting up alerts and monitoring dashboards.

Why does my service lack visibility during debugging and deployment validation?

Your service lacks visibility during debugging and deployment validation because it is missing structured logging, metrics, and distributed tracing. Adding these observability features resolves the issue by enabling easy querying and end-to-end request tracking.