observability

Manage production observability with logging, tracing, metrics, and alerting.

Updated Mar 20, 2026

Search Tags:#logging #metrics #tracing #alerting #production monitoring #slos #slis

Ready to run

npx skills add https://github.com/Cure-Consulting-Group/iep-and-thrive --skill observability-cure-consulting-group

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: observability
Source: https://github.com/Cure-Consulting-Group/iep-and-thrive/tree/main/.agents/skills/observability
Command: npx skills add https://github.com/Cure-Consulting-Group/iep-and-thrive --skill observability-cure-consulting-group

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures production services have full observability, reducing errors and speeding up issue resolution through logging, monitoring, alerting, and dashboarding.

Core Features & Use Cases

Logging & Metrics: Set structured logging and collect system, application, and business metrics.
Tracing: Enable distributed tracing to diagnose latency issues and errors.
Alerting: Set up actionable alerts and SLI/SLOs for service monitoring.
Dashboards: Customize dashboards to monitor key service indicators at a glance.
Use Case: Use the skill to monitor your production database and identify a potential outage in real-time by receiving an alert for unusual database response times and analyzing logs and traces to identify the cause.

Quick Start

Run ' observability observability' in the terminal.

Frequently Asked Questions about observability

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

FAQPage Schema

How do I set up distributed tracing to diagnose production latency issues?▼

Distributed tracing diagnoses production latency by tracking requests across diverse environments like Android, iOS, Web, and Cloud Functions. This framework integrates tracing with structured logging and metrics to pinpoint errors and reduce resolution time.

What's the best way to configure alerting and SLIs for service monitoring?▼

Configuring alerting and SLIs for service monitoring requires setting actionable thresholds and SLOs. This framework enables real-time issue diagnosis by triggering alerts for unusual response times, allowing you to analyze logs and traces to identify causes.

Can I integrate Sentry and Datadog for production monitoring across mobile and web platforms?▼

Yes, you can integrate Sentry and Datadog for production monitoring across Android, iOS, Web, and Firebase environments. The framework supports these platform-specific integrations to collect metrics and structured logs for effective issue diagnosis.

How do I collect system and business metrics alongside structured logging in Cloud Functions?▼

Collecting system and business metrics alongside structured logging in Cloud Functions involves deploying a unified observability framework. This setup ensures all services emit consistent logs and metrics, enabling comprehensive dashboarding and real-time issue diagnosis.

Why do I need SLOs and customized dashboards for my production database?▼

You need SLOs and customized dashboards to monitor key service indicators and prevent outages. By setting actionable alerts for unusual database response times, you can analyze traces and logs to identify potential issues in real-time.