Agencies juggle many creators across Twitch (and sometimes Discord) with no single, tenant-aware place to see what’s happening right now. That means missed live events, tab-hopping, weak auditability, and no clean separation across client brands. Creator Control Room gives agencies a real-time, multi-tenant “NOC view” with strict data isolation and a brandable UI.
• Next.js (React, TypeScript) – Fast DX, type safety, and a smooth SPA/SSR mix for dashboards.
• Socket.IO client – Reliable realtime (auto-reconnect, heartbeats) and simple “rooms” semantics for per-tenant streams.
• Node.js + Express – Simple, proven HTTP framework for REST, JSON parsing, CORS, health checks, and structured logs.
• Socket.IO server – Pushes live events to rooms (e.g., room:company:{id}, room:creator:{id}) so each tenant only sees their own data.
• Why Cloud Run – Managed containers with HTTPS out of the box, autoscaling to zero for spiky traffic, and no server ops. Perfect for webhook endpoints + REST + Socket.IO in one service.
• Socket.IO Redis adapter – Ensures broadcasts reach users even when Cloud Run scales to multiple instances. (Backed by a managed Redis like Memorystore via VPC connector or a hosted Redis such as Upstash.)
• Twitch EventSub → Cloud Run HTTPS endpoint – HMAC-verified webhooks hit your service directly; no Lambda needed. Normalize → persist → emit over Socket.IO.
• Amazon Aurora PostgreSQL Serverless v2 — Operational “hot” store:
• Strong relational model for companies/users/members/creators.
• Row-Level Security (RLS) for hard multi-tenant isolation using a per-request GUC (SET LOCAL app.company_id).
• JSONB payloads for flexible event bodies.
• RDS Proxy to pool connections for Lambdas/ECS.
• Why Postgres (vs Dynamo/Mongo): native RLS, transactions, joins, JSONB when you need schema-flex, and easy analytics for short lookbacks.
• S3 (assets + archives) — Logos/exports + cheap long-term event history.
• Pre-signed PUTs (tenant-scoped key prefixes) for branding assets.
• Event archives as NDJSON/Parquet → future Athena queries.
• Lifecycle rules keep costs down (IA/Glacier).
• JWT auth (custom RS256) – Your service validates access tokens and sets app.company_id per request before touching the DB.
• RLS policies – Enforce tenant isolation on every tenant table (creators, events, audit_logs, etc.).
• Jest (unit/integration) + socket.io-client tests + Playwright (E2E) – Proves isolation and realtime behavior end-to-end.
• GitHub Actions – Lint, typecheck, tests, coverage gate ≥80%, build container, and deploy to Cloud Run.
1. Webhook arrives (Twitch) → verify HMAC → normalize.
2. Persist into Postgres (RLS-guarded) and broadcast a compact event to the proper Socket.IO rooms (via Redis adapter).
3. Dashboard updates live (filters by creator/topic, company branding).
• Shared-schema + RLS (simple, secure) over separate DBs per tenant (heavy ops).
• Socket.IO (rooms, reconnection) over raw WebSocket/SSE (less boilerplate).
• Cloud Run (managed HTTPS + autoscale) over self-managed compute (less ops).
• Postgres hot store + optional GCS archives over heavy OLAP now (you can add ClickHouse/Athena later if needed).
• A single live control room for many creators.
• Hard data isolation per client for trust and compliance.
• Faster incident response (stream up/down, raids/spikes) plus auditable admin actions.
• Brandable, professional UI and a clean path to deeper analytics later.