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Installation
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npx veilstrat add skill samhvw8/dotfiles --skill infra-engineer- dot_env.example2.5 KB
- SKILL.md23.1 KB
Overview
This skill provides comprehensive infrastructure engineering for modern cloud-native systems, covering DevOps, multi-cloud platforms, FinOps, and DevSecOps. It helps teams deploy, secure, scale, and optimize infrastructure across AWS, Azure, GCP, and Cloudflare with IaC, CI/CD, and GitOps patterns. The focus is practical outcomes: reliable deployments, cost savings, and stronger security posture.
How this skill works
I inspect your target platform and requirements, then produce concrete actions: IaC templates (Terraform/CloudFormation), CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), Kubernetes manifests/Helm charts, and Cloudflare Worker deployments. I can run cost analysis and recommend FinOps moves (reserved/spot scheduling, rightsizing). For security I integrate SAST/DAST, image scanning, secrets management, and compliance controls into pipelines and runtime.
When to use it
- Deploying applications to AWS, Azure, GCP, or Cloudflare
- Building or hardening CI/CD pipelines and GitOps workflows
- Managing Kubernetes clusters (EKS/AKS/GKE) and container orchestration
- Performing cloud cost analysis and implementing FinOps optimizations
- Implementing DevSecOps: scanning, secrets, runtime protection, compliance
Best practices
- Treat Git as the single source of truth; use GitOps for cluster config and automated sync
- Write reusable, versioned IaC modules and store remote state with locking
- Automate security scans (SAST, SCA, container image scanning) in pipelines before deploy
- Right-size and tag resources; use reserved/spot instances where appropriate and schedule dev environments off-hours
- Implement observability (logs, metrics, traces) and alerting tied to runbooks and incident processes
Example use cases
- Create an AWS EKS cluster with an ArgoCD GitOps flow and Helm chart deployment
- Migrate a web app to Cloudflare Workers + R2 for edge delivery and lower egress costs
- Build CI/CD pipeline: build Docker image, push to registry, run Trivy scan, deploy to ECS or Kubernetes
- Run FinOps analysis and produce actionable recommendations: rightsizing, RI/savings plans, and scheduling
- Implement secrets management with Vault or cloud-native secrets stores plus CI integration
FAQ
Choose based on requirements: AWS for breadth and enterprise features, GCP for analytics/ML and GKE, Azure for Microsoft-centric stacks, Cloudflare for edge-first low-latency apps. Hybrid/multi-cloud is viable when you need best-of-breed across layers.
How do I start lowering cloud spend quickly?
Begin with discovery: identify untagged/idle resources, enable cost allocation tags, right-size instances, apply reserved or savings plans for steady workloads, and use spot instances for fault-tolerant tasks. Schedule non-prod environments to shut down when idle.