What services are included in this deployment?

The skill deploys the full LGTM stack: Grafana for dashboards, Loki for log aggregation, Tempo for distributed tracing, Prometheus for metrics, and Alloy for telemetry collection.

Do I need any external tools installed?

Yes, you must have the Railway CLI installed and authenticated on your local machine for the deployment scripts to function correctly.

Is there a cost associated with using this skill?

While the skill itself is free, hosting the stack on Railway typically costs between $15-25/month for production use to cover the five services and necessary persistent storage.

How does this integrate with Claude Code?

Once deployed, the skill provides a public OTLP endpoint. You can then use the 'claude-code-telemetry-enable' command with this endpoint to pipe your AI assistant's data into your new Grafana dashboard.

Observability Railway Deploy

Name: Observability Railway Deploy
Author: adaptationio

byadaptationio

0•

Analytics & Monitoring

Deploys a comprehensive LGTM observability stack to Railway cloud for centralized monitoring and team access.

This skill automates the deployment of a full observability suite—including Grafana, Loki, Tempo, Prometheus, and Alloy—directly to the Railway cloud platform. It streamlines the entire infrastructure-as-code process by handling template deployment, environment variable configuration, and persistent volume attachment for data retention. Designed for teams needing production-grade telemetry, the skill also generates the specific Claude Code configurations required to route agent telemetry to your new cloud-hosted endpoint, ensuring your AI development is fully observable.

Key Features

01One-command deployment of the full Grafana LGTM stack

020 GitHub stars

03Integration with Railway Template 8TLSQD for rapid provisioning

04Automated setup of persistent volumes for metrics, logs, and traces

05Automatic generation of Claude Code OTLP telemetry configurations

06Verification scripts for health checks and telemetry flow validation

Use Cases

01Establishing a centralized monitoring hub for distributed development teams

02Configuring persistent telemetry storage for Claude Code agent sessions

03Deploying cloud-hosted observability for applications running on Railway

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