render-monitor

Monitor Render service health, performance metrics, logs, and PostgreSQL databases.

1|Updated Jan 8, 2026

Search Tags:#monitoring #logs #metrics #mcp #health checks #latency #render

Ready to run

npx skills add https://github.com/LaunchPadLab/ai-bank --skill render-monitor-launchpadlab

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: render-monitor
Source: https://github.com/LaunchPadLab/ai-bank/tree/main/codex/skills/render-monitor
Command: npx skills add https://github.com/LaunchPadLab/ai-bank --skill render-monitor-launchpadlab

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you quickly determine whether your Render services are healthy, whether performance is degrading, and whether recent deployments introduced errors—without manually sifting through dashboards.

Core Features & Use Cases

Real-time service health checks: Validate deployment status, service details, and operational readiness.
Performance and capacity monitoring: Inspect CPU, memory, latency (p95), and request volume to spot slowdowns and bottlenecks.
Logs and database monitoring: Review error logs and monitor PostgreSQL health (connections and slow queries) to diagnose incidents.
Use when: Checking service status, validating deployments, investigating slow performance, and verifying database health.

Quick Start

Ask your AI tool to use render-monitor to check a specific Render service’s health, p95 latency, error logs, and key database indicators.

Frequently Asked Questions about render-monitor

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

FAQPage Schema

How do I check my Render service health and recent deployment status?▼

To check Render service health, you can verify deployment status, service details, and operational readiness by listing services and deploys without manually sifting through dashboards. This allows you to quickly assess whether recent deployments introduced errors or operational issues.

How can I monitor Render metrics like CPU, memory, and p95 latency?▼

You can monitor Render metrics like CPU usage, memory consumption, p95 latency, and request volume by inspecting real-time performance data. This helps you spot slowdowns, identify performance degradation, and pinpoint capacity bottlenecks across your services.

What is the best way to triage Render error logs during an incident?▼

The best way to triage Render error logs is to perform time-bounded searches and filter for specific error messages. This allows you to quickly review error logs, diagnose incidents, and determine if recent code changes caused operational failures.

Can I diagnose slow PostgreSQL queries and connection issues on Render?▼

Yes, you can diagnose PostgreSQL database health on Render by checking active connections and identifying slow queries. This functionality allows you to monitor database instances and pinpoint performance issues affecting your overall service responsiveness.

Do I need Render MCP tools to monitor my services, or is there a fallback?▼

You do not strictly need Render MCP tools to monitor your services because a CLI fallback is provided when MCP configuration is missing. The Skill supports MCP tools for operations like listing logs and querying PostgreSQL, but can function via CLI if those tools are unavailable.