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Observability with Prometheus & Grafana

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Achieve observability with Prometheus & Grafana

Software Engineering#monitoring#observability#grafana#prometheus#alerting#sre#promql
Authorbobmatnyc
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill guides you to implement a robust, production-grade observability stack using Prometheus, Grafana, and related tooling, enabling real-time visibility into system health and performance.

Core Features & Use Cases

  • Metrics collection: scrape and aggregate metrics from cloud-native services to monitor latency, traffic, and errors.
  • Querying & Dashboards: use PromQL to derive insights and build actionable Grafana dashboards.
  • Alerting & AI-assisted anomaly detection: configure alerts with Alertmanager and leverage Grafana AI Observability to detect anomalies and predict issues.
  • Use Cases: monitor API latency, track service health across Kubernetes deployments, implement SLOs/SLIs, and debug incidents with structured metrics.

Quick Start

Install Prometheus and Grafana, configure scrape targets for your services, import a Grafana dashboard, and create an alert rule to notify on high latency.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Observability with Prometheus & Grafana
Download link: https://github.com/bobmatnyc/mcp-skillset/archive/main.zip#observability-with-prometheus-grafana

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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