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Deployment and hosting platform specialist covering Vercel, Railway, and Convex. Use when deploying applications, configuring edge functions, setting up continuous deployment, managing serverless infrastructure, containerized deployments, real-time backends, or choosing deployment platforms. Covers edge computing (Vercel), container orchestration (Railway), and reactive backends (Convex).
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المزيد من هذا المستودع
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Documentation generation patterns for technical specs, API docs, user guides, and knowledge bases using real tools like Sphinx, MkDocs, TypeDoc, and Nextra. Use when creating docs from code, building doc sites, or automating documentation workflows.
Backend development specialist covering API design, database integration, microservices architecture, and modern backend patterns. Use when user asks about API design, REST or GraphQL endpoints, server implementation, authentication, authorization, middleware, or backend service architecture. Do NOT use for database-specific schema design or query optimization (use moai-domain-database instead) or frontend implementation (use moai-domain-frontend instead).
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| name | moai-platform-deployment |
| description | Deployment and hosting platform specialist covering Vercel, Railway, and Convex. Use when deploying applications, configuring edge functions, setting up continuous deployment, managing serverless infrastructure, containerized deployments, real-time backends, or choosing deployment platforms. Covers edge computing (Vercel), container orchestration (Railway), and reactive backends (Convex).
|
| license | MIT |
| metadata | {"version":"2.0.0","category":"platform","status":"active","updated":"2026-02-09","platforms":"Vercel, Railway, Convex","tags":"deployment, hosting, vercel, railway, convex, edge, containers, serverless, real-time"} |
| progressive_disclosure | {"enabled":true,"level1_tokens":100,"level2_tokens":4500} |
| triggers | {"keywords":["deploy","deployment","hosting","vercel","railway","convex","edge functions","containers","docker","serverless","real-time","preview deployment","continuous deployment"],"agents":["expert-devops","expert-backend","expert-frontend"],"phases":["run","sync"]} |
| user-invocable | false |
Deployment Platform Specialist
Comprehensive deployment platform guide covering Vercel (edge-first), Railway (container-first), and Convex (real-time backend).
Quick Platform Selection
When to Use Each Platform
Vercel - Edge-First Deployment:
- Next.js applications with SSR/SSG
- Global CDN distribution required
- Sub-50ms edge latency critical
- Preview deployments for team collaboration
- Managed storage needs (KV, Blob, Postgres)
Railway - Container-First Deployment:
- Full-stack containerized applications
- Custom runtime environments
- Multi-service architectures
- Persistent volume storage
- WebSocket/gRPC long-lived connections
Convex - Real-Time Backend:
- Collaborative real-time applications
- Reactive data synchronization
- TypeScript-first backend needs
- Optimistic UI updates
- Document-oriented data models
Decision Guide
By Application Type
Web Applications (Frontend + API):
- Next.js → Vercel (optimal integration)
- React/Vue with custom API → Railway (flexible)
- Real-time collaborative → Convex + Vercel
Mobile Backends:
- REST/GraphQL → Railway (stable connections)
- Real-time sync → Convex (reactive queries)
- Edge API → Vercel (global latency)
Full-Stack Monoliths:
- Containerized → Railway (Docker support)
- Serverless → Vercel (Next.js API routes)
- Real-time → Convex (built-in reactivity)
By Infrastructure Needs
Compute Requirements:
- Edge compute → Vercel (30+ edge locations)
- Custom runtimes → Railway (Docker flexibility)
- Serverless TypeScript → Convex (managed runtime)
Storage Requirements:
- Redis/KV → Vercel KV or Railway
- PostgreSQL → Vercel Postgres or Railway
- File storage → Vercel Blob or Railway volumes
- Document DB → Convex (built-in)
Networking Requirements:
- CDN distribution → Vercel (built-in)
- Private networking → Railway (service mesh)
Common Deployment Patterns
Pattern 1: Next.js with Database
Stack: Vercel + Vercel Postgres/KV
- Deploy Next.js app to Vercel
- Provision Vercel Postgres for database
- Use Vercel KV for session/cache
- Configure environment variables
- Enable ISR for dynamic content
Best For: Web apps with standard database needs, e-commerce, content sites
Pattern 2: Containerized Multi-Service
- Create multi-stage Dockerfile
- Configure railway.toml for services
- Set up private networking
- Configure persistent volumes
- Enable auto-scaling
Best For: Microservices, complex backends, custom tech stacks
Pattern 3: Real-Time Collaborative App
Stack: Convex + Vercel/Railway (frontend)
- Initialize Convex backend
- Define schema and server functions
- Deploy frontend to Vercel/Railway
- Configure Convex provider
- Implement optimistic updates
Best For: Collaborative tools, live dashboards, chat applications
Pattern 4: Hybrid Edge + Container
Stack: Vercel (frontend/edge) + Railway (backend services)
- Deploy Next.js frontend to Vercel
- Deploy backend services to Railway
- Configure CORS and API endpoints
- Set up edge middleware for routing
- Use private networking for Railway
Best For: High-performance apps, global distribution with complex backends
Pattern 5: Serverless Full-Stack
Stack: Vercel (frontend + API routes) + Convex (backend)
- Build Next.js app with API routes
- Initialize Convex for data layer
- Configure authentication (Clerk/Auth0)
- Deploy frontend to Vercel
- Connect Convex client
Best For: Rapid prototyping, startups, real-time web apps
Essential Configuration
Vercel Quick Start
{
"$schema": "https://openapi.vercel.sh/vercel.json",
"framework": "nextjs",
"regions": ["iad1", "sfo1", "fra1"],
"functions": {
"app/api/**/*.ts": {
"memory": 1024,
"maxDuration": 10
}
}
}
export const runtime = "edge"
export const preferredRegion = ["iad1", "sfo1"]
export async function GET(request: Request) {
const country = request.geo?.country || "Unknown"
return Response.json({ country })
}
Railway Quick Start
[build]
builder = "DOCKERFILE"
dockerfilePath = "Dockerfile"
[deploy]
healthcheckPath = "/health"
healthcheckTimeout = 100
restartPolicyType = "ON_FAILURE"
numReplicas = 2
[deploy.resources]
memory = "2GB"
cpu = "2.0"
# Builder stage
FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build
# Runner stage
FROM node:20-alpine
WORKDIR /app
ENV NODE_ENV=production
RUN addgroup -g 1001 -S nodejs && adduser -S appuser -u 1001
COPY --from=builder /app/node_modules ./node_modules
COPY --from=builder /app/dist ./dist
USER appuser
EXPOSE 3000
CMD ["node", "dist/main.js"]
Convex Quick Start
import { defineSchema, defineTable } from "convex/server"
import { v } from "convex/values"
export default defineSchema({
messages: defineTable({
text: v.string(),
userId: v.id("users"),
timestamp: v.number(),
})
.index("by_timestamp", ["timestamp"])
.searchIndex("search_text", {
searchField: "text",
filterFields: ["userId"],
}),
})
import { useQuery, useMutation } from "convex/react"
import { api } from "../convex/_generated/api"
export function Messages() {
const messages = useQuery(api.messages.list)
const sendMessage = useMutation(api.messages.send)
if (!messages) return <div>Loading...</div>
return (
<div>
{messages.map((msg) => (
<div key={msg._id}>{msg.text}</div>
))}
</div>
)
}
CI/CD Integration
GitHub Actions - Vercel
name: Deploy to Vercel
on:
push:
branches: [main]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: amondnet/vercel-action@v25
with:
vercel-token: ${{ secrets.VERCEL_TOKEN }}
vercel-org-id: ${{ secrets.ORG_ID }}
vercel-project-id: ${{ secrets.PROJECT_ID }}
GitHub Actions - Railway
name: Deploy to Railway
on:
push:
branches: [main]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- run: npm install -g @railway/cli
- run: railway up --detach
env:
RAILWAY_TOKEN: ${{ secrets.RAILWAY_TOKEN }}
GitHub Actions - Convex
name: Deploy to Convex
on:
push:
branches: [main]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: actions/setup-node@v3
- run: npm ci
- run: npx convex deploy
env:
CONVEX_DEPLOY_KEY: ${{ secrets.CONVEX_DEPLOY_KEY }}
Advanced Patterns
Blue-Green Deployment (Vercel)
Deploy new version, test on preview URL, then switch production alias using Vercel SDK for zero-downtime releases.
Multi-Region (Railway)
Configure deployment regions in railway.toml:
[deploy.regions]
name = "us-west"
replicas = 2
[[deploy.regions]]
name = "eu-central"
replicas = 1
Optimistic Updates (Convex)
const sendMessage = useMutation(api.messages.send)
const handleSend = (text: string) => {
sendMessage({ text })
.then(() => console.log("Sent"))
.catch(() => console.log("Failed, rolled back"))
}
Platform-Specific Details
For detailed platform-specific patterns, configuration options, and advanced use cases, see:
- reference/vercel.md - Edge Functions, ISR, Analytics, Storage
- reference/railway.md - Docker, Multi-Service, Volumes, Scaling
- reference/convex.md - Reactive Queries, Server Functions, File Storage
- reference/comparison.md - Feature Matrix, Pricing, Migration Guides
Works Well With
- moai-domain-backend for backend architecture patterns
- moai-domain-frontend for frontend integration
- moai-lang-typescript for TypeScript best practices
- moai-lang-python for Python deployment (Railway)
- moai-platform-auth for authentication integration
- moai-platform-database for database patterns
Status: Production Ready
Version: 2.0.0
Updated: 2026-02-09
Platforms: Vercel, Railway, Convex
