What is the best way to handle expensive queries?

This skill provides specific examples of recording rules that allow you to pre-compute frequently used, high-cardinality expressions into new time series for faster dashboarding.

Can this skill help with Kubernetes monitoring?

Yes, it includes detailed configurations for Kubernetes pod and service discovery, including relabeling configurations and Helm installation guides.

Can I use this for non-Kubernetes setups?

Yes, it includes a complete Docker Compose template and examples for static targets and file-based service discovery.

Does it support alerting?

Absolutely. It provides ready-to-use alert rules for service availability, latency, and resource usage, as well as Alertmanager integration.

How do I validate my Prometheus configuration?

The skill includes instructions for using the 'promtool' utility to validate both the main configuration file and your alerting/recording rules.

Prometheus Configuration

Name: Prometheus Configuration
Author: Tahir-yamin

byTahir-yamin

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分析与监控

Configures Prometheus for comprehensive metric collection, storage, and monitoring across infrastructure and applications.

关于

This skill provides a complete framework for setting up and managing Prometheus monitoring systems, covering everything from initial installation on Kubernetes or Docker to advanced scrape configurations and alerting rules. It empowers developers and SREs to implement robust observability by defining recording rules for performance optimization, establishing service discovery for dynamic environments, and creating actionable alerts to ensure high availability and performance across the entire technical stack.

主要功能

Pre-computed recording rules for optimized metric querying
Production-ready alert rules for availability and resource monitoring
Standardized Prometheus installation via Helm or Docker Compose
3 GitHub stars
Built-in validation workflows using promtool for configuration accuracy
Advanced scrape configuration patterns including Kubernetes service discovery

使用场景

Optimizing slow Prometheus queries using strategic recording rules
Standardizing alerting policies across infrastructure and application layers
Implementing full-stack monitoring for Kubernetes-based microservices

关于

主要功能

Pre-computed recording rules for optimized metric querying
Production-ready alert rules for availability and resource monitoring
Standardized Prometheus installation via Helm or Docker Compose
3 GitHub stars
Built-in validation workflows using promtool for configuration accuracy
Advanced scrape configuration patterns including Kubernetes service discovery

使用场景

Optimizing slow Prometheus queries using strategic recording rules
Standardizing alerting policies across infrastructure and application layers
Implementing full-stack monitoring for Kubernetes-based microservices