Can I use this for custom application metrics?

Yes, it includes specific templates for scraping application-specific metrics endpoints with support for custom paths and TLS authentication.

What deployment environments does this Prometheus skill support?

The skill provides ready-to-use configurations for Kubernetes (via Helm), Docker Compose, and standalone Linux server environments.

How do I ensure my Prometheus config is valid?

The skill includes validation commands using 'promtool' to check your configuration and rule files for syntax errors before deployment.

How does this skill help with Prometheus performance?

It includes recording rule templates that pre-compute expensive queries like P95 latency and error rates, significantly reducing the load on your monitoring server.

Does it include alerting for infrastructure health?

Yes, the skill provides predefined alerting rules for service availability, high CPU/Memory usage, and disk space thresholds.

Prometheus Monitoring Setup

Name: Prometheus Monitoring Setup
Author: yusoofsh

byyusoofsh

Analytics & Monitoring

Configures comprehensive Prometheus monitoring for infrastructure and applications through metrics collection, scraping, and alerting rules.

About

This skill provides a robust framework for implementing Prometheus-based observability across your entire tech stack. It enables developers and DevOps engineers to quickly deploy monitoring infrastructure via Kubernetes or Docker Compose, configure complex metric scraping with automated service discovery, and establish high-performance recording and alerting rules. By standardizing the configuration of scrape intervals, relabeling, and pre-computed metrics, it ensures a scalable and maintainable monitoring solution for modern cloud-native environments.

Key Features

Pre-computed recording rules for performance optimization
Configuration validation using promtool
Kubernetes and Docker Compose deployment templates
Standardized alerting rules for availability and resource usage
0 GitHub stars
Advanced scrape configurations with Kubernetes service discovery

Use Cases

Designing custom alerting systems for proactive application health management
Setting up full-stack infrastructure monitoring on Kubernetes
Implementing metrics collection for microservices architecture

About

Key Features

Pre-computed recording rules for performance optimization
Configuration validation using promtool
Kubernetes and Docker Compose deployment templates
Standardized alerting rules for availability and resource usage
0 GitHub stars
Advanced scrape configurations with Kubernetes service discovery

Use Cases

Designing custom alerting systems for proactive application health management
Setting up full-stack infrastructure monitoring on Kubernetes
Implementing metrics collection for microservices architecture