grey-haven-observability-engineering

greyhaven-ai's avatarfrom greyhaven-ai

Production-ready monitoring, logging, and tracing using Prometheus, Grafana, OpenTelemetry, DataDog, and Sentry. Use when setting up production monitoring, implementing SLOs, distributed tracing, or performance tracking.

⭐15stars🔀2forks📁View on GitHub🕐Updated Dec 27, 2025

When & Why to Use This Skill

This Claude skill provides a comprehensive framework for production-ready observability engineering. It enables developers and SREs to architect and deploy robust monitoring, logging, and distributed tracing systems using industry-standard tools like Prometheus, Grafana, OpenTelemetry, DataDog, and Sentry. By facilitating the implementation of SLOs and performance tracking, it ensures high system reliability and streamlined incident management for modern cloud-native environments.

Use Cases

  • Infrastructure Monitoring: Setting up Prometheus configurations and Grafana dashboards to gain real-time visibility into system health and resource utilization.
  • Distributed Tracing: Implementing OpenTelemetry across microservices to visualize request flows and identify latency bottlenecks in complex architectures.
  • Reliability Engineering: Defining and tracking Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to maintain operational excellence and meet business requirements.
  • Error Tracking & Performance Analysis: Integrating Sentry and DataDog for centralized logging, proactive error detection, and deep-dive performance profiling.
namegrey-haven-observability-engineering
description"Production-ready monitoring, logging, and tracing using Prometheus, Grafana, OpenTelemetry, DataDog, and Sentry. Use when setting up production monitoring, implementing SLOs, distributed tracing, or performance tracking."
# v2.0.43Skills to auto-load for observability work
# v2.0.74Tools for observability setup

Observability Engineering Skill

Production-ready monitoring, logging, and tracing using Prometheus, Grafana, OpenTelemetry, DataDog, and Sentry.

Description

Comprehensive observability setup including SLO implementation, distributed tracing, dashboards, and incident prevention.

What's Included

  • Examples: Prometheus configs, Grafana dashboards, SLO definitions
  • Reference: Observability best practices, monitoring strategies
  • Templates: Dashboard templates, alert rules

Use When

  • Setting up production monitoring
  • Implementing SLOs
  • Distributed tracing
  • Performance tracking
  • observability-engineer

Skill Version: 1.0