Scalable System Architecture for a High-Traffic Sports Highlight Platform

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✅ 1. 스포츠중계 FRONTEND SCALABILITY

Use a Static Site Generator (SSG) where possible

• If you're using Next.js, use Incremental Static Regeneration (ISR)
  → This allows pre-rendering of pages (like highlight pages) and updating them in the background every X minutes.

CDN all the things

• Host with Vercel, Netlify, or Cloudflare Pages

• Use Cloudflare CDN or Fastly to cache static content and even partial dynamic content (edge caching)

???? Tip: Cache highlight thumbnails and embed previews aggressively.

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✅ 2. BACKEND + API LAYER

Go Serverless or Autoscaling

• Option A: Serverless

  • Use AWS Lambda, Google Cloud Functions, or Vercel Functions

  • Scales on demand with zero warm-up issues for lightweight APIs

• Option B: Containerized API with Autoscaling

  • Dockerize your FastAPI or Node.js backend

  • Deploy via Google Cloud Run, AWS ECS with Fargate, or Kubernetes (EKS/GKE)

???? Tip: Break your backend into microservices if you're pulling from multiple APIs (YouTube, ScoreBat, etc.)

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✅ 3. DATABASE OPTIMIZATION

Choose a scalable, managed DB:

• PostgreSQL via Supabase, Neon, or PlanetScale (MySQL)

• Use read replicas to separate read-heavy traffic

• Add indexes on fields like team, league, upload_date, video_id

Use a caching layer

• Add Redis to store recent highlight metadata or most-viewed videos

• Use it for your leaderboard, “Trending Now,” or homepage highlights

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✅ 4. MEDIA +스포츠중계 VIDEO HANDLING

Don’t self-host videos

• Always embed via YouTube or store videos in Amazon S3 / Cloudflare R2

• Use Cloudinary or Imgix to optimize and CDN thumbnails/images

Lazy-load video players

• Load video embeds only when visible or hovered

• Use react-lazyload or similar libraries to avoid DOM overload

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✅ 5. REAL-TIME + NOTIFICATIONS

• For real-time updates (e.g., new highlight posted):

  • Use WebSockets (via Socket.io or Pusher) only for logged-in users

  • Offload public traffic using Server-Sent Events (SSE) or periodic polling

• For mobile/web push:

  • Use Firebase Cloud Messaging (FCM) for scalable, reliable delivery

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✅ 6. LOGGING + MONITORING

Don’t scale blindly—monitor everything:

• Logs: Datadog, LogRocket, or ELK Stack

• Uptime / Alerts: UptimeRobot, Pingdom

• Errors / Crashes: Sentry

• Performance: Lighthouse CI, New Relic

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✅ 7. DATABASE SCHEMA DESIGN FOR SCALE

Table	Key Fields	Purpose
videos	id, title, league_id, team_ids, views	Stores all highlights
teams	id, name, league_id	Reference for filtering/search
leagues	id, name, region	Categorize highlights
views	video_id, timestamp, user_id (optional)	Analytics + trending

Use foreign keys and indexes to keep queries fast.

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????️ PRODUCTION-READY STACK SUMMARY

스포츠중계	Scalable Tech Choices
Frontend	Next.js + ISR + CDN (Cloudflare, Vercel)
Backend	Serverless (Lambda) or Containerized (Cloud Run)
Database	PostgreSQL + Redis + Read Replicas
Storage	S3 / Cloudinary / Cloudflare R2
Notifications	Firebase FCM, WebSockets (Socket.io), Pusher
Monitoring	Sentry + Datadog + LogRocket

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???? Bonus Tips

• Use Queue Systems (RabbitMQ, BullMQ) for background jobs like syncing new videos

• Rate-limit APIs if you're public-facing

• Use GraphQL if your frontend demands flexible querying patterns