Is there a cost associated with the deployment?

Railway offers a limited free tier, but a production-grade stack with 10GB volumes typically costs between $15 and $25 per month.

How does this connect to my Claude Code project?

After deployment, the skill provides a specific configuration command to link your Claude Code instance to the new OTLP endpoint via the telemetry-enable command.

Are the deployed dashboards secure?

Yes, the workflow includes steps to configure admin credentials and environment variables to ensure your observability data remains private.

What services are included in this deployment?

The skill deploys the full LGTM stack: Grafana for visualization, Loki for logs, Tempo for traces, and Prometheus for metrics, plus Grafana Alloy for telemetry processing.

Do I need a Railway account to use this skill?

Yes, you must have a Railway account and the Railway CLI installed and authenticated on your local machine.

Railway Observability Deployer

Name: Railway Observability Deployer
Author: adaptationio

byadaptationio

0•

Analytics & Monitoring

Deploys a complete LGTM observability stack to Railway cloud including Grafana, Loki, Tempo, and Prometheus.

This skill automates the deployment of a comprehensive cloud-hosted observability stack on Railway, integrating Grafana, Loki, Tempo, Prometheus, and Alloy. It streamlines the infrastructure setup by handling template deployment, persistent volume attachment, and environment variable configuration, providing a production-ready environment for tracking metrics, logs, and traces. Ideal for teams using Claude Code who need a centralized, team-accessible telemetry dashboard with minimal manual configuration.

Key Features

010 GitHub stars

02Pre-configured persistent volumes for reliable data retention

03Seamless integration with Grafana Alloy for OTLP telemetry collection

04Automatic generation of Claude Code telemetry configuration commands

05Automated deployment of the full LGTM stack (Loki, Grafana, Tempo, Prometheus)

06Built-in scripts for URL discovery and health verification

Use Cases

01Rapidly provisioning infrastructure for distributed tracing and log aggregation

02Setting up a centralized, team-accessible monitoring dashboard for cloud applications

03Migrating from local telemetry to a persistent cloud-hosted observability environment

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adaptationio/skrillz observability-railway-deploy

For use in Claude.ai and ChatGPT

Download Skill