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

分析与监控

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

关于

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.

主要功能

0 GitHub stars
Pre-configured persistent volumes for reliable data retention
Seamless integration with Grafana Alloy for OTLP telemetry collection
Automatic generation of Claude Code telemetry configuration commands
Automated deployment of the full LGTM stack (Loki, Grafana, Tempo, Prometheus)
Built-in scripts for URL discovery and health verification

使用场景

Rapidly provisioning infrastructure for distributed tracing and log aggregation
Setting up a centralized, team-accessible monitoring dashboard for cloud applications
Migrating from local telemetry to a persistent cloud-hosted observability environment

关于

主要功能

0 GitHub stars
Pre-configured persistent volumes for reliable data retention
Seamless integration with Grafana Alloy for OTLP telemetry collection
Automatic generation of Claude Code telemetry configuration commands
Automated deployment of the full LGTM stack (Loki, Grafana, Tempo, Prometheus)
Built-in scripts for URL discovery and health verification

使用场景

Rapidly provisioning infrastructure for distributed tracing and log aggregation
Setting up a centralized, team-accessible monitoring dashboard for cloud applications
Migrating from local telemetry to a persistent cloud-hosted observability environment