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platxa-monitoring

Query Prometheus metrics and Loki logs to troubleshoot Platxa platform issues.

4|Updated Jan 8, 2026
Search Tags:#guide#monitoring#troubleshooting#kubernetes#observability#prometheus#loki
One-click install
npx skills add https://github.com/platxa/platxa-skill-generator --skill platxa-monitoring
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: platxa-monitoring
Source: https://github.com/platxa/platxa-skill-generator/tree/main/catalog/platxa-monitoring
Command: npx skills add https://github.com/platxa/platxa-skill-generator --skill platxa-monitoring

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive guide to monitoring the Platxa platform, enabling users to effectively observe system health, diagnose issues, and ensure optimal performance through Prometheus metrics and Loki logs.

Core Features & Use Cases

  • Metrics Querying: Learn to query Prometheus for instance resource usage, service health, and PostgreSQL performance.
  • Log Analysis: Understand how to use LogQL to filter, search, and aggregate logs from various Platxa components.
  • Alerting & Troubleshooting: Discover common alerts, understand their conditions, and follow a structured workflow for investigating and resolving issues.
  • Use Case: When an instance becomes unresponsive, use this Skill to quickly check its memory and CPU usage in Prometheus, then dive into Loki logs to pinpoint the error causing the slowdown.

Quick Start

Use the platxa-monitoring skill to investigate high memory usage for instance 'abc123xy'.

Frequently Asked Questions about platxa-monitoring

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

FAQPage Schema
How do I query Prometheus metrics to troubleshoot Kubernetes instance resource usage?▼

Query Prometheus metrics using PromQL to check instance CPU and memory usage. This Skill guides you through querying resource utilization to diagnose unresponsive instances and identify performance bottlenecks.

How do I filter Loki logs to find errors causing application slowdowns?▼

Filter Loki logs using LogQL to search and aggregate logs from Platxa components. You can pinpoint specific errors causing slowdowns by applying structured log queries across your infrastructure components.

What is the workflow for investigating platform alerts across infrastructure and databases?▼

The investigation workflow involves checking Prometheus metrics for resource usage, reviewing alert rule conditions, then diving into Loki logs. This structured approach covers infrastructure, instances, and PostgreSQL databases.

How do I monitor PostgreSQL performance using Prometheus metrics?▼

Monitor PostgreSQL performance by querying Prometheus metrics specifically for database health and resource consumption. This Skill provides query patterns to assess PostgreSQL behavior within the observability stack.

Can I use this observability stack to diagnose issues without prior monitoring experience?▼

Yes, this Skill provides a step-by-step workflow for issue investigation. It covers querying PromQL and LogQL, understanding alert rules, and includes reference documentation for query patterns and alert conditions.

What common alert rules are available for Platxa observability and troubleshooting?▼

Common alert rules and their conditions are provided as reference documentation. You can discover alerts, understand their triggering thresholds, and follow structured workflows for investigating and resolving those issues.

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