Observability with Prometheus & Grafana

Integrate Prometheus and Grafana for metrics collection, alerting, and dashboards.

20|5|Updated Nov 22, 2025
One-click install
npx skills add https://github.com/bobmatnyc/mcp-skillset --skill observability-with-prometheus-grafana
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Observability with Prometheus & Grafana
Source: https://github.com/bobmatnyc/mcp-skillset/tree/main/docs/skill-templates/observability-monitoring
Command: npx skills add https://github.com/bobmatnyc/mcp-skillset --skill observability-with-prometheus-grafana

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about Observability with Prometheus & Grafana

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

FAQPage Schema
How do I set up Prometheus and Grafana to monitor Kubernetes microservices?

Monitor API latency and service health using Prometheus to scrape and aggregate metrics from cloud-native applications, then visualize the collected data by building actionable Grafana dashboards with PromQL queries.

Can I use Grafana AI for anomaly detection with Prometheus metrics?

Yes, Grafana AI Observability supports anomaly detection using Prometheus metrics. Configure Alertmanager for alert routing and leverage Grafana AI features to detect anomalies and predict issues across cloud-native applications.

How do I implement SLOs and SLIs using Prometheus and Grafana?

Implement SLOs and SLIs by using Prometheus to collect metrics like latency, traffic, and errors. Use PromQL to derive insights and build Grafana dashboards to track service health and debug incidents with structured metrics.

Does this observability stack work for serverless environments?

Yes, this Prometheus and Grafana observability stack applies to serverless environments. It supports metrics collection, alerting, dashboards, and AI-assisted anomaly detection across Kubernetes, microservices, and serverless architectures.

How do I configure Alertmanager to route alerts for high API latency?

Configure Alertmanager to route alerts for high API latency by creating alert rules in Prometheus based on latency metrics. Alertmanager handles alert routing and notification delivery for your production observability stack.