Can I automate the deployment of a monitoring stack?

Yes, the skill includes scripts and templates to deploy a full Grafana-based observability stack (Grafana, Prometheus, Loki, Tempo) directly on your Railway project.

What metrics are included by default?

The skill covers CPU usage (percentage of allocation), memory consumption (MB/GB), disk usage, and network I/O with a standard 30-day retention period.

Does this skill require a Railway Pro plan?

Basic metrics and dashboards are available on all plans, but advanced features like alerting and custom webhooks specifically require a Railway Pro subscription.

Can I export Railway metrics to external systems?

Yes, this skill provides detailed configurations for exporting metrics, logs, and traces via OpenTelemetry (OTEL) to external collectors like Grafana Cloud or self-hosted Prometheus.

How does this help with distributed tracing?

It provides implementation patterns for integrating OTLP exporters with Tempo and Grafana Alloy, allowing you to trace requests across multiple Railway services.

Railway Observability & Monitoring

Name: Railway Observability & Monitoring
Author: adaptationio

byadaptationio

分析と監視

Implements comprehensive monitoring, custom dashboards, and OpenTelemetry integrations for services hosted on Railway.com.

概要

This skill provides a complete framework for monitoring Railway.com applications, bridging the gap between built-in platform metrics and advanced external observability stacks. It empowers developers to configure proactive resource alerts, design custom metric dashboards, and deploy full LGTM (Loki, Grafana, Tempo, Mimir/Prometheus) stacks using the Grafana Alloy collector. Whether you are troubleshooting performance bottlenecks or setting up distributed tracing via OTLP, this skill offers the specific workflows and templates needed to maintain high-performance Railway deployments with professional-grade visibility.

主な機能

One-click deployment scripts for full Grafana observability stacks
Standardized configuration templates for Grafana Alloy collectors
0 GitHub stars
Advanced alerting configuration for email, Slack, and Discord webhooks
OpenTelemetry (OTEL) integration for exporting data to external systems
Automated setup for Railway's built-in CPU, memory, and disk metrics

ユースケース

Setting up proactive resource monitoring and threshold alerting for production apps
Integrating Railway service logs and traces with an external Grafana instance
Troubleshooting performance spikes and resource leaks using granular dashboard widgets

概要

主な機能

One-click deployment scripts for full Grafana observability stacks
Standardized configuration templates for Grafana Alloy collectors
0 GitHub stars
Advanced alerting configuration for email, Slack, and Discord webhooks
OpenTelemetry (OTEL) integration for exporting data to external systems
Automated setup for Railway's built-in CPU, memory, and disk metrics

ユースケース

Setting up proactive resource monitoring and threshold alerting for production apps
Integrating Railway service logs and traces with an external Grafana instance
Troubleshooting performance spikes and resource leaks using granular dashboard widgets