Automate Rails production deployment with Kamal 2 and Docker.
npx skills add https://github.com/jcuervo/rails-skills --skill rails-deploy
Please help me install this Agent Skill. Skill: rails-deploy Source: https://github.com/jcuervo/rails-skills/tree/main/rails-deploy Command: npx skills add https://github.com/jcuervo/rails-skills --skill rails-deploy
This Skill automates the deployment of a Rails 8.1 app to production, including zero-downtime deployment, CI/CD, secret injection, and observability features.
Use the 'rails-deploy' skill to deploy your Rails app to production with zero-downtime and observability features.
High-intent search queries and answers about installing and using this skill.
Automating Rails deployment with zero downtime requires using Kamal 2 and Docker to roll out new application versions without dropping active connections. This approach ensures continuous application availability during updates by replacing containers seamlessly.
Adding observability to a Rails app involves integrating Sentry-Rails for error tracking and Lograge for structured logs. This combination provides insights into application performance, metrics, and uptime in production.
Yes, this zero-downtime deployment approach is designed for Rails 8.1 applications. It specifically targets Ruby on Rails apps requiring production deployment with secure secret injection and monitoring capabilities.
Managing secrets during Rails CI/CD deployment requires securely injecting credentials into the production environment. This deployment automation handles secret management directly within the pipeline to prevent exposing sensitive data.
Yes, you need Docker and Kamal 2 to set up this Rails CI/CD and monitoring workflow. These dependencies are required to containerize the application and orchestrate the zero-downtime production deployment.
sandeepmvlConfigure multi-stage Docker and Kamal 2 deployments for Rails 8 production.
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PostHogIntegrate PostHog error tracking to capture and monitor Rails exceptions.
ShoebtamboliDeploy Rails applications to production using Kamal and Docker-based stacks.
