deploying-applications

# Deploying Applications

Production deployment patterns from Kubernetes to serverless and edge functions. Bridges the gap from application assembly to production infrastructure.

## Purpose

This skill provides clear guidance for:
- Selecting the right deployment strategy (Kubernetes, serverless, containers, edge)
- Implementing Infrastructure as Code with Pulumi or OpenTofu
- Setting up GitOps automation with ArgoCD or Flux
- Choosing serverless databases (Neon, Turso, PlanetScale)
- Deploying edge functions (Cloudflare Workers, Deno Deploy)

## When to Use This Skill

Use this skill when:
- Deploying applications to production infrastructure
- Setting up CI/CD pipelines and GitOps workflows
- Choosing between Kubernetes, serverless, or edge deployment
- Implementing Infrastructure as Code (Pulumi, OpenTofu, SST)
- Migrating from manual deployment to automated infrastructure
- Integrating with `assembling-components` for complete deployment flow

## Deployment Strategy Decision Tree

```
WORKLOAD TYPE?

├── COMPLEX MICROSERVICES (10+ services)
│   └─ Kubernetes + ArgoCD/Flux (GitOps)
│       ├─ Helm 4.0 for packaging
│       ├─ Service mesh: Linkerd (5-10% overhead) or Istio (25-35%)
│       └─ See references/kubernetes-patterns.md

├── VARIABLE TRAFFIC / COST-SENSITIVE
│   └─ Serverless
│       ├─ Database: Neon/Turso (scale-to-zero)
│       ├─ Compute: Vercel, AWS Lambda, Cloud Functions
│       ├─ Edge: Cloudflare Workers (<5ms cold start)
│       └─ See references/serverless-dbs.md and references/edge-functions.md

├── CONSISTENT LOAD / PREDICTABLE TRAFFIC
│   └─ Containers (ECS, Cloud Run, Fly.io)
│       ├─ ECS Fargate: AWS-native, serverless containers
│       ├─ Cloud Run: GCP, scale-to-zero containers
│       └─ Fly.io: Global edge, multi-region

├── GLOBAL LOW-LATENCY (<50ms)
│   └─ Edge Functions + Edge Database
│       ├─ Cloudflare Workers + D1 (SQLite)
│       ├─ Deno Deploy + Turso (libSQL)
│       └─ See references/edge-functions.md

└── RAPID PROT