Does this skill support structured logging?

Yes, it includes best practices and examples for single-line JSON logging, which makes your log fields searchable within the Railway dashboard.

Can I export Railway logs to external tools like Datadog?

Yes, the skill covers several export methods including using the Locomotive sidecar, OpenTelemetry (OTEL) integration, and manual streaming scripts.

How do I filter logs for specific errors?

You can use Railway's filtering syntax like '@level:error' or combine filters with boolean operators (AND, OR, NOT) to pinpoint specific events.

What is the difference between build logs and deploy logs?

Build logs cover the compilation and dependency installation process, while deploy logs monitor the infrastructure rollout and health check status.

Can I view live logs with this skill?

Yes, the skill provides specific CLI commands to stream build, deployment, and runtime logs in real-time directly from your terminal.

Railway Logs & Observability

Name: Railway Logs & Observability
Author: adaptationio

byadaptationio

0•

分析与监控

Accesses, filters, and analyzes Railway build, deploy, and runtime logs for streamlined application debugging and monitoring.

This skill provides comprehensive capabilities for managing logs within the Railway deployment platform, enabling developers to stream real-time logs, troubleshoot build failures, and monitor deployment health. It simplifies the process of investigating runtime errors and analyzing HTTP request patterns by leveraging Railway's powerful filtering syntax and structured JSON logging. Whether you need to debug a failing health check or export logs to external platforms like Datadog or Axiom for long-term retention, this skill provides the necessary patterns and CLI commands to maintain high observability.

主要功能

01Real-time streaming of build, deployment, and runtime logs

02HTTP request analysis and performance monitoring

03Support for structured JSON logging and searchable metadata

04Advanced filtering for specific status codes, paths, and log levels

05External log export integrations for systems like Datadog and Axiom

060 GitHub stars

使用场景

01Investigating production runtime errors and performance bottlenecks

02Debugging failed deployments and health check issues

03Monitoring API traffic patterns and HTTP status codes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adaptationio/skrillz railway-logs

For use in Claude.ai and ChatGPT