Can I use this for non-containerized environments?

Yes, it includes patterns for static target scraping and file-based service discovery suitable for legacy bare-metal or VM-based infrastructure.

How do I validate my Prometheus configuration?

The skill provides specific promtool commands and validation scripts to check syntax and rule logic before you deploy your changes to production.

Does it support alert management?

The skill includes comprehensive templates for defining alert rules and connecting Prometheus to Alertmanager for automated incident notification.

How does this skill help with Kubernetes monitoring?

It provides ready-to-use relabeling configurations for Kubernetes pods and services, enabling automatic service discovery and metric scraping within the cluster.

Prometheus Configuration

Name: Prometheus Configuration
Author: drgaciw

bydrgaciw

Analytics & Monitoring

Configures Prometheus for comprehensive metric collection, infrastructure monitoring, and alerting systems.

About

This skill provides a structured framework for setting up and managing Prometheus-based monitoring ecosystems. It automates the generation of scrape configurations, recording rules, and alert definitions across various environments including Kubernetes and Docker. By standardizing metric collection and validation through promtool, it ensures robust observability, high-availability monitoring, and proactive incident detection for both infrastructure and application layers.

Key Features

Automated scrape configuration for Kubernetes, Docker, and static targets
Multi-environment deployment templates for Helm and Docker Compose
Built-in validation scripts and troubleshooting procedures using promtool
Standardized alerting rules for service availability and resource saturation
0 GitHub stars
Pre-defined recording rules for optimized PromQL query performance

Use Cases

Setting up full-stack observability for a new Kubernetes cluster
Designing standardized alerting logic for microservices and node infrastructure
Optimizing slow Grafana dashboards by implementing recording rules

About

Key Features

Automated scrape configuration for Kubernetes, Docker, and static targets
Multi-environment deployment templates for Helm and Docker Compose
Built-in validation scripts and troubleshooting procedures using promtool
Standardized alerting rules for service availability and resource saturation
0 GitHub stars
Pre-defined recording rules for optimized PromQL query performance

Use Cases

Setting up full-stack observability for a new Kubernetes cluster
Designing standardized alerting logic for microservices and node infrastructure
Optimizing slow Grafana dashboards by implementing recording rules