⚡ DASHBOARD FACTORY ⚡

Event-Driven Architecture for 10,000+ Operator Cockpits
Overview
Update Flow
Rollback Flow
Widget Governance
Database (Supabase)
Edge Functions (Netlify)
CDN Layer
Client (Operator)
🗄️ Data Layer (Supabase PostgreSQL)
📊 dashboard_instances
10,000+ operator cockpits
  • Version tracking
  • Feature installations
  • Custom overrides
  • Auto-update settings
⚡ Indexed for < 100ms queries
🧩 features
Widget registry
  • Experimental → Approved → Foundational
  • Version control
  • Dependencies
  • Change type (SAFE/REVIEWED/BREAKING)
📈 XP-weighted voting
⏳ update_queue
Event-driven pipeline
  • Batch processing (100/batch)
  • Priority scheduling
  • Error retry logic
  • Status tracking
🚀 10,000 updates in 5 minutes
💾 rollback_snapshots
Point-in-time backups
  • Pre-update snapshots
  • Full HTML capture
  • 30-day retention
  • Instant restore
⏱️ Rollback in < 30 seconds
⚙️ Processing Layer (Netlify Edge Functions)
🔄 dashboard-update-worker.js
Batch update processor
  • Fetch queue (100 at a time)
  • Parallel processing (10 concurrent)
  • 3-way merge (preserve customizations)
  • CDN invalidation
⚡ Auto-scaling serverless
⏮️ dashboard-rollback.js
Instant rollback
  • Fetch snapshot
  • Deploy HTML
  • Restore state
  • Invalidate CDN
⚡ < 30 sec rollback
🎨 dashboard-renderer.js
Dynamic assembly
  • Base template + features
  • Apply custom styles
  • ETag generation
  • CDN caching
💾 95%+ cache hit rate
🌐 Delivery Layer (Netlify CDN)
⚡ Edge Cache
Global distribution
  • 1-hour TTL
  • ETag validation
  • Granular invalidation
  • < 50ms response time
💰 < $50/month bandwidth
👤 Client Layer (Operator Cockpits)
🖥️ Real-time Sync
Supabase Realtime (WebSocket)
  • Update notifications
  • Version checks
  • Auto-reload
  • < 500ms latency
📡 Zero-downtime updates
Update Propagation
< 5 min
for 10,000 dashboards
Rollback Speed
< 30 sec
instant restore
CDN Cache Hit
95%+
reduced bandwidth
Customization Conflicts
0%
preserved via 3-way merge

📤 UPDATE PROPAGATION FLOW

Step 1: Feature Approval
🗳️ XP-Weighted Vote
10 optimizers test widget → Vote approve
  • 66% XP votes = Approved
  • 80% XP votes = Foundational candidate
→
🎯 Feature Stage Update
UPDATE features SET stage = 'approved'

Triggers auto_queue_feature_updates()
Step 2: Queue Creation
⏳ Database Trigger
For each active dashboard:
  • Check if auto_update_enabled = true
  • Check if feature already installed
  • INSERT into update_queue
  • Priority: SAFE=5, FOUNDATIONAL=1
→
📋 Queue Status
10,000 rows inserted
Status: queued
Batch size: 100
Step 3: Batch Processing
🔄 Update Worker (Cron: Every 1 min)
Fetch: SELECT * FROM update_queue WHERE status='queued' LIMIT 100

Process: 10 parallel workers
  • Create pre-update snapshot
  • Fetch current dashboard HTML
  • Apply feature injection (append/smart/quadrant)
  • Preserve user customizations
  • Save updated HTML
  • Update dashboard_instances
Result: 100 dashboards updated in ~20 seconds
Step 4: CDN Invalidation
🌐 Purge Cache
POST /api/v1/purge/operator_cockpit_*.html

Batch: 100 slugs at a time
Next request: Fetch fresh HTML from edge function
Step 5: Real-time Notification
📡 WebSocket Event
Supabase Realtime → Client

Payload: 
{
  "version": "1.2.5",
  "new_features": ["feat_999"],
  "updated_at": "2026-02-22T..."
}

Client Action: Show toast + auto-reload after 10s
⚡ Total Time: 10,000 dashboards updated in < 5 minutes

⏮️ MASS ROLLBACK FLOW

Trigger: Buggy Feature Detected
🚨 Alert
"feat_999_xss_bug detected"

Commander initiates mass rollback
Step 1: Find Affected Dashboards
🔍 Query
SELECT dashboard_id, installed_at FROM feature_installations WHERE feature_id = 'feat_999'

Result: 1,000 dashboards affected
Step 2: Fetch Pre-Install Snapshots
💾 Rollback Plan
For each dashboard:
  • Find latest snapshot BEFORE feat_999 install
  • Create rollback_plan array
  • Target version: previous stable version
Step 3: Execute Rollbacks
⏮️ Rollback Worker
Batch size: 50 dashboards/batch

For each dashboard:
  • Fetch snapshot HTML
  • Deploy to CDN
  • Restore dashboard_instances state
  • Remove feature_installations record
  • Invalidate CDN cache

Time: 1,000 dashboards in ~30 seconds
Step 4: Deprecate Feature
🚫 Mark Deprecated
UPDATE features SET stage = 'deprecated', deprecation_notice = 'XSS vulnerability' WHERE id = 'feat_999'
Step 5: Notify Team
📧 Alert Sent
Email to all operators + Commander

Subject: "ROLLBACK ALERT: feat_999"
Body: "1,000 dashboards restored to previous version"
⏱️ Total Time: < 30 seconds for 1,000 dashboards

🗳️ WIDGET GOVERNANCE LIFECYCLE

Stage 1: Experimental (10 Builders)
🧪 Build & Test
Operator creates widget in their cockpit
  • Custom HTML/CSS/JS
  • Local testing
  • Share with peer optimizers
  • Iterate based on feedback
🎯 Goal: Solve real problem
Stage 2: Approval Vote (66% XP)
🗳️ XP-Weighted Voting
Team members vote:
  • Each vote weighted by voter's XP
  • 66% approval → Approved
  • Trigger: INSERT into feature_votes
  • Auto-update: Calculate approval_percentage
✅ Approved = Auto-propagate (if SAFE)
Stage 3: Foundational (80% XP)
🏛️ Foundation Status
Widget proven valuable across team
  • 80% XP approval → Foundational
  • Becomes part of base template
  • All new dashboards get this widget
  • Priority 1 updates
🏆 Permanent infrastructure
Change Type Routing
✅ SAFE
CSS tweaks, bug fixes

Action: Auto-propagate immediately
No Commander approval needed
⚠️ REVIEWED
API changes, new data sources

Action: Notify Commander
Requires approval before propagation
🚨 BREAKING
Schema changes, major refactor

Action: Major version bump
Deprecation notice + migration guide
🔄 Recursive improvement: Better widgets → More votes → Foundation status