Configure and validate cloud deployments and CI/CD pipelines for containerized web applications.
npx skills add https://github.com/gfcampos1/my-skills --skill devops-gfcampos1
Please help me install this Agent Skill. Skill: devops Source: https://github.com/gfcampos1/my-skills/tree/main/skills/devops Command: npx skills add https://github.com/gfcampos1/my-skills --skill devops-gfcampos1
This Skill reduces the complexity of launching and maintaining production-ready deployments by providing a reproducible approach to platform selection, containerization, CI/CD, infrastructure as code, secrets management, and observability. It helps teams avoid common deployment mistakes, insecure secret handling, and missing monitoring that lead to outages or slow recoveries.
Deploy a Node.js app using a multi-stage Dockerfile and a GitHub Actions pipeline that runs lint, test, build, and deploys to your chosen platform on the main branch.
High-intent search queries and answers about installing and using this skill.
A multi-stage Dockerfile for a Node.js application separates the build environment from the production runtime to minimize image size and enhance security. This approach uses distinct build and runtime stages, incorporates a .dockerignore file, and configures a non-root user for secure execution.
Setting up GitHub Actions CI/CD pipelines involves creating workflows for typecheck, test, build, and deploy stages. The pipeline leverages caching for dependencies and securely injects repository or environment secrets during the deployment process to prevent unauthorized access.
Choosing between Railway, Fly.io, Render, and Vercel depends on your application type, expected traffic volume, budget constraints, and compliance requirements. The selection process evaluates these tradeoffs to recommend the top two platforms best suited for your specific deployment scenario.
Adding observability to a Python or Go deployment requires defining health endpoints, implementing structured JSON logging, and integrating Sentry for error tracking. This configuration also includes uptime monitoring and metrics collection to quickly identify and recover from production outages.
Yes, you can use basic Terraform infrastructure patterns to provision resources on AWS or GCP for CI/CD deployments. This infrastructure as code approach provides a reproducible method to manage cloud resources, reducing manual configuration errors and ensuring environment consistency across deployments.
ancolemanGenerate optimized and secure Dockerfiles for Python, Node.js, Go, and Rust.
AlteriomCentralize production observability data with Prometheus, Grafana, Loki, and Sentry.
ryasrkProvide DevOps patterns for CI/CD, Docker, monitoring, and infrastructure-as-code.
andisabGenerate GitHub Actions workflows for Terraform, Kubernetes, and Helm deployments.
