System Integration Blueprint
Arsitektur 4 Engine AI Platform
Dokumen teknis komprehensif mencakup arsitektur sistem, spesifikasi data, aturan bisnis, dan panduan deployment untuk implementasi enterprise-grade
04
Core Engines
06
Flow Diagrams
42+
Process Steps
v3.0
2026 Release
Engine 01
ENTRY POINT • MARKETING LAYER
Marketing Content Generator
Automated Content Production & Distribution System — Mengubah ide menjadi konten publish-ready dalam hitungan detik
INPUT DATA
- Brand Guidelines & Templates
- Product/Service Data Catalog
- Target Audience Parameters
- Campaign Goals & KPI Targets
OUTPUT → ENGINE 2
- Multi-format Content Assets
- Published Content URLs (UTM-tagged)
- Engagement Metrics Data
- Schedule & Distribution Plan
OpenAI GPT-4 Turbo
Stable Diffusion
Runway/Pika Gen
Claude 3.5 Sonnet
Scheduler API
Sub-Process Modules
1A
Video Content Pipeline
Script Generation
GPT-4 + Hook Formula
Scene Planning
Visual Storyboard
Asset Rendering
Runway/Pika API
Quality Control
Brand Guardrails
1B
Image & Graphic Generation
Social Media Posts
- • Instagram Feed (1080×1080)
- • Stories (1080×1920)
- • LinkedIn Banners
Ad Creatives
- • Facebook Ads
- • Google Display Network
- • TikTok Spark Ads
Brand Assets
- • Product Mockups
- • Infographics
- • Quote Cards
1C
Copywriting & Content Calendar
| Content Type | AI Model | Output Format | Distribution |
|---|---|---|---|
| Social Captions | GPT-4 Turbo | Emoji-rich + Hashtagged | IG, FB, LinkedIn, TT |
| Email Sequences | Claude 3.5 | HTML + Plain Text | Mailchimp/SendGrid |
| Blog Articles | GPT-4 + RAG | SEO-Optimized MD | CMS / WordPress |
| Ad Copy | Custom Fine-tune | Headline + Body CTA | Meta/Google Ads API |
Data Handoff Specification → Engine 2
Campaign IDs
UTM parameters
Content Metadata
JSON payload
Publish Schedule
Timestamp
Target Channels
Channel enum
Original Flow Diagram Reference
✓ Validated
AI Content Flow (7 Steps)
Input Prompt
↓
Select Template
↓
AI Process
↓
Generate Output
↓
Content Filter
↓
Preview
↓
Download / Post
All 7 steps covered in detail →
Storage & Delivery
- • AWS S3 Bucket: /content/{date}/{type}/{campaign_id}/
- • Naming: {timestamp}_{content_type}_{id}
- • Retention: 90 days (configurable via admin)
- • CDN: CloudFront edge caching (24h TTL)
Automation Schedule
- • Calendar Run: Daily 00:00 server time (UTC+7)
- • Auto-Publish: Based on schedule table
- • Retry Logic: Failed publish → retry 3x (5min interval) → notify admin
- • Queue: BullMQ priority queue (high/medium/low)
Content Lifecycle States
DRAFT
REVIEW
APPROVED
PUBLISHED
EXPIRED
Tracked Metrics
Gen Time
Per content type
Success Rate
Publish %
Engagement
Clicks/Views
Reach
Impressions
Engine 02
ACQUISITION LAYER • CONVERSION FUNNEL
Sales Funneling & Omnichannel Service
Lead Capture, Qualification & Customer Communication Hub — Mengkonversi traffic menjadi qualified leads 24/7
INPUT ← ENGINE 1
- UTM-tagged Traffic Sources
- Social Media Engagement Data
- Ad Click Conversions
- Direct Website Visits
OUTPUT → ENGINE 3
- Qualified Leads (SQL/MQL)
- Contact Information (Verified)
- Interaction History (Full Log)
- Lead Scoring Data (Weighted)
Instagram DM
WhatsApp Business
TikTok DM
Web Live Chat
Telegram Bot
2A
Unified Message Queue Architecture
Instagram
WhatsApp
Broker
NLP Router
Agent/Bot
Real-time routing via WebSocket + Redis Pub/Sub
2B
Intelligent Response Engine (3-Tier)
T1
Tier 1: AI Auto-Response
FAQ handling, product info, basic qualification via GPT-4 • Target: 80% resolution rate
T2
Tier 2: Smart Handoff
Complex queries escalated with context preservation • Agent availability check
T3
Tier 3: Human Agent
High-value leads, custom solutions, negotiation support with full history access
2C
Lead Extraction & Qualification Matrix
| Data Point | Method | Validation | Weight |
|---|---|---|---|
| Full Name | NLP Entity Extract | Required | 15% |
| Phone Number | Regex + Format | OTP Verify | 25% |
| Email Address | Pattern Match | MX Record | 20% |
| Location/City | GeoIP + Self-report | Optional | 10% |
| Interest Area | Intent Classification | Category Map | 20% |
| Source/UTM | URL Parameter Parse | Auto-capture | 10% |
Scoring: MQL ≥60pts | SQL ≥80pts | Hot Lead = High Score + Active Engagement Signal
Qualified Lead Transfer → Engine 3 (CRM)
Lead Profile Object
{name, contact, source, score, history[]}
Conversation Log
messages[], timestamps[], sentiment
Assignment Rule
round-robin / territory / skill-match
Sales Funnel Flow Diagram
✓ Validated
Multi-Path Flow (11 Steps)
Incoming Chat
↓
Webhook
↓
Process Request
↓
AI Response
Intent Check
→ FAQ
→ Interested
→ Capture Lead
→ Save CRM
→ Tag Lead
→ Assign Sales
All paths covered →
Message Handling
- • Queue: Redis List (TTL: 7 days)
- • History: MongoDB collection (conversations)
- • Media: S3 private bucket (images/docs)
- • Size limit: 10MB per message, chunk if larger
Auto-Response Rules
- • Target: Response < 3 seconds for FAQ
- • No match: Escalate to Tier 2 automatically
- • Inactivity: Follow-up prompt after 5 min idle
- • Cold lead: Mark as "cold" after 24h inactive
Assignment Logic
Round-Robin: Even distribution to available sales
Territory: Assign by user's region/city
Skill-Match: Match product expertise
Cap: Max 50 active leads per sales agent
Escalation Triggers
- • Score >80: Priority notification to manager
- • "Meeting requested": Auto-create demo link
- • Budget confirmed: Mark as "hot lead"
- • 3x unresponsive: Move to "stale"
Engine 03
CONVERSION LAYER • CRM & USER MANAGEMENT
CRM Core & User Management
Customer Lifecycle Management, KYC Verification & Account Operations — Transforming leads into verified active users
INPUT ← ENGINE 2
- Qualified Leads with Scores
- Complete Contact Profiles
- Conversation Histories
- Source Attribution Data
OUTPUT → ENGINE 4
- Verified User Accounts
- Trading Account Credentials
- Portfolio & Transaction History
- User Preferences & Behavior Data
CRM Pipeline
KYC/AML
User Auth
Deposit/WD
3A
Sales Pipeline Stages (Kanban Board)
New Lead
--
From Engine 2
Contacted
--
Initial outreach
Interested
--
Qualification done
Demo
--
Product demo
KYC
--
Verification
Verified ✓
--
Active user
Auto-progression rules based on actions • Manual override available • SLA timers per stage
3B
KYC/AML Verification Workflow
Document Capture
- • KTP/Passport Photo (JPEG/PNG, max 5MB)
- • Selfie with Document (JPEG, max 5MB)
- • NPWP (if required)
- • Proof of Address
OCR & Validation
- • Tesseract/GVision OCR
- • Min accuracy: 85% character recognition
- • Fraud Detection Rules
- • Sanctions List Check (OFBI/DDP/PPKS)
Approval State Machine
PENDING_UPLOAD
PROCESSING_OCR
REVIEW_REQUIRED
APPROVED ✓
REJECTED ✗
3D
Role-Based Access Control (RBAC) Matrix
| Role | CRM | KYC | Finance | Trading |
|---|---|---|---|---|
| Super Admin | ●●● | ●●● | ●●● | ●●● |
| Sales Manager | ●●○ | ●○○ | ○○○ | ○○○ |
| Sales Agent | ●○○ | ○○○ | ○○○ | ○○○ |
| CS Staff | ●○○ | ●○○ | ○○○ | ○○○ |
| IB Partner | ●○○ | ○○○ | ●○○ | ○○○ |
| End User/Trader | ○○○ | ○○○ | ●○○ | ●●● |
●●● Full Access | ●● Read+Write | ●○ Read Only | ○○○ No Access
Active User Data Sync → Engine 4 (AI Assistant)
User Identity
user_id, verified_status, tier_level
Account Info
account_numbers[], broker_connection
Preferences
risk_appetite, preferred_assets
Activity History
login_frequency, engagement_score
Original Diagram References
✓ Validated
CRM Pipeline Flow (8 Stages)
New Lead
↓
Contacted
↓
Interested
↓
Open Demo
↓
KYC Process
↓
Verified
↓
Deposit
↓
Active User
KYC Process Flow
Upload KTP
↓
Upload NPWP
↓
Selfie Check
↓
OCR Scan
↓
Admin Review
Reject ✗
Approve ✓
↓
User Verified
Database Tables (PostgreSQL)
// users
id(UUID), email, phone, role_id(FK), statuslast_login, created_at, updated_at
// leads
id(UUID), user_id(FK), source, stage(Enum)score(Int), data(JSONB), assigned_to(UUID)
// kyc_documents
id(UUID), user_id(FK), document_type(Enum)file_url(S3), ocr_data(JSONB), status(Enum)
reviewed_by(UUID), reviewed_at
Pipeline Transitions
- → New → Contacted: Auto (after 24h no action)
- → Contacted → Interested: Manual by sales
- → KYC → Verified: Auto after admin approval
- → Deposit → Active: Auto (deposit confirmed)
KYC Retry Mechanism
- • Status REJECTED → System sends notification with reason
- • User re-uploads → Returns to OCR Scan step
- • Max retries: 3 times
- • After 3 failed → Status: BLOCKED (admin override available)
Real-Time Dashboard
Total Leads
Today/Week/Month
Conversion
(Converted/Total) × 100
Stage Time
Avg time per stage
KYC Rate
Pass/Fail percentage
Engine 04
RETENTION LAYER • AI ASSISTANT
AI Trading Companion & Analytics
Intelligent Assistant for Market Insights, Education & Portfolio Management — Maximizing customer lifetime value through personalized AI experience
INPUT ← ENGINE 3
- Verified User Accounts
- Trading Account Connections
- User Behavior & Preferences
- Historical Transaction Data
FEEDBACK LOOP → ENGINE 1
- User Engagement Metrics
- Content Performance Data
- Churn Risk Indicators
- Upsell Opportunity Signals
Market Analysis
Education
Smart Alerts
Portfolio Tracking
4A
Real-Time Market Intelligence
News Aggregation
- • Multi-source RSS/API feeds
- • Sentiment analysis (NLP)
- • Impact scoring algorithm
- • Personalized relevance filter
Technical Analysis
- • Price action patterns
- • Indicator calculations
- • Support/resistance levels
- • Trend detection signals
Economic Calendar
- • Upcoming events alerts
- • Historical impact data
- • Volatility predictions
- • Correlation analysis
Asset Pricing
- • Real-time forex rates
- • Commodity prices (Gold, Oil)
- • Crypto market data
- • Index performance
4B
Adaptive Learning Engine
Video Tutorials
Beginner to Advanced
Knowledge Base
Searchable Repository
Live Webinars
Recording Library
Personalized Path
AI-Curriculum Based
Closed-Loop Feedback System (Engine 4 → Engine 1)
Engagement Analytics
- • Feature usage frequency
- • Session duration metrics
- • Content interaction rates
Retention Signals
- • Login pattern changes
- • Activity decline detection
- • Churn risk scoring
Growth Opportunities
- • Upsell readiness signals
- • Referral potential scoring
- • Content optimization data
This feedback loop enables continuous improvement of marketing strategies based on actual user behavior
AI Trading Flow Diagram
✓ Validated
Parallel Paths (Market Data)
User Login
↓
Fetch Market
↓
Fetch Portfolio
↓
Market News
Trade Signal
Risk Advice
↓
Show Insight
↓
Ask AI
↓
AI Reply
All parallel paths covered →
External API Integration
- • Forex: OANDA, FXCM REST API
- • Commodities: Kitco, Bloomberg API
- • Crypto: CoinGecko, CoinMarketCap
- • Refresh: 60s (market hours), 5min (off-hours)
Broker API Connection
- • MT4/MT5: Manager API integration
- • Account ops: openDemo/liveAccount
- • Trade ops: orderOpen, orderClose
- • Balance: getBalance, getEquity
AI Response Boundaries
✅ CAN Discuss
Market data, portfolio, general trading questions, education
❌ CANNOT Recommend
Specific entry/exit prices, guaranteed returns, "buy/sell now" signals
Risk Alerts
- ⚠ Margin Call: Alert when margin < X%
- ⚠ Stop-loss: Alert when loss exceeds Y%
- ⚠ Volatility: Warning when vol > Z%
- ⚠ Inactive: No login 30+ days → trigger retention
Business Rules & Compliance
Aturan bisnis, guardrails, dan compliance requirements yang mengatur seluruh sistem
Content Generation Guardrails
🚫 Banned Words/Phrases (Auto-Block)
profit pasti
guaranteed return
pasti untung
jackpot
bebas risiko
terpercaya 100%
⚠️ Brand Voice Guidelines
- • Tone: Professional yet approachable
- • Language: Bahasa Indonesia formal + English terms where appropriate
- • Emoji usage: Limited to 2-3 per post max
- • Hashtag limit: IG (30 max), TT (3-5 recommended)
📱 Platform-Specific Rules
Instagram
1080x1080 or 1080x1920
Text ratio <20%
Text ratio <20%
TikTok
9:16 vertical only
Max 15s for ads
Max 15s for ads
Facebook
Image text <20%
Link in caption OK
Link in caption OK
LinkedIn
Professional tone
No clickbait headlines
No clickbait headlines
Lead Scoring Algorithm
Point Allocation System
Full Name Provided
+15 pts
Phone (OTP Verified)
+25 pts
Email (MX Valid)
+20 pts
Location/City
+10 pts
Interest Area Selected
+20 pts
Source/UTM Captured
+10 pts
Classification Thresholds
≥60
MQL
≥80
SQL
HOT
SQL + Active
KYC/AML Compliance Rules
Accepted Document Types
| Type | Format | Max Size | Required |
|---|---|---|---|
| KTP | JPEG/PNG | 5 MB | Yes |
| Passport | JPEG/PNG | 5 MB | Alt |
| NPWP | JPEG/PNG | 5 MB | Conditional |
| Selfie | JPEG | 5 MB | Yes |
Validation Requirements
- ✓ OCR Accuracy: Minimum 85% character recognition
- ✓ Sanctions Check: OFBI, DDP, PPKS watchlist
- ✓ Approval SLA: Maximum 24 working hours
- ✓ Max Retries: 3 attempts with different documents
⚠️ Rejection Criteria
- • Document expired (>6 months before expiry required)
- • Image blurry/unreadable by OCR
- • Name mismatch between documents
- • Found on sanctions watchlist
- • Suspected fraudulent activity pattern
Trading AI Boundaries
Mandatory Disclaimer
"AI bukan penasehat keuangan berlisensi. Setiap investasi memiliki risiko kehilangan modal. Performa masa lalu tidak menjamin hasil di masa depan. Selalu lakukan riset mandiri sebelum membuat keputusan investasi."
✅ Allowed Topics
- • Market analysis overview
- • Educational content
- • Portfolio performance review
- • General trading concepts
- • Risk management principles
❌ Prohibited Topics
- • Specific entry/exit prices
- • Guaranteed returns claims
- • "Buy/Sell now" signals
- • Price target predictions
- • Personal investment advice
Prohibited Topic Response Protocol
When user asks prohibited topic → AI responds:
"Maaf, saya tidak bisa memberikan rekomendasi beli/jual spesifik atau sinyal trading pasti. Tapi saya bisa membantu Anda dengan analisis pasar umum atau konsep edukasi trading."
"Maaf, saya tidak bisa memberikan rekomendasi beli/jual spesifik atau sinyal trading pasti. Tapi saya bisa membantu Anda dengan analisis pasar umum atau konsep edukasi trading."
📋 Audit Logging Requirement
All AI responses must be logged for compliance audit (retention: 7 years). Logs include: timestamp, user_id, query, response, sentiment classification.
Data Specifications & API Contracts
Schema database, endpoint API, dan format data yang digunakan seluruh sistem
Database Schema (PostgreSQL Primary)
TABLE
users
id
UUID
PK
email
VARCHAR(255)
UNIQUE, NOT NULL
password_hash
VARCHAR(255)
NOT NULL
phone
VARCHAR(20)
INDEXED
role_id
UUID
FK → roles(id)
status
ENUM
active/inactive/suspended
created_at
TIMESTAMP
DEFAULT NOW()
TABLE
leads
id
UUID
PK
user_id
UUID
FK → users(id)
source
VARCHAR(50)
instagram/web/etc
stage
ENUM
pipeline stages
score
INTEGER
DEFAULT 0
data
JSONB
{name,phone,email}
assigned_to
UUID
FK → users(id)
TABLE
kyc_documents
id
UUID
PK
user_id
UUID
FK → users(id)
document_type
ENUM
ktp/npwp/selfie
file_url
VARCHAR(500)
S3 URL
ocr_data
JSONB
{nama,nik,ttl}
status
ENUM
pending/review/approved/rejected
TABLE
conversations
MongoDB
_id
ObjectId
PK
session_id
String
WebSocket session
channel
String
wa/ig/web/tg
user_id
UUID
Reference to PG
messages
Array
[{role,content,ts}]
metadata
Object
{lead_captured,intent}
TABLE
content_library
id
UUID
PK
engine_type
ENUM
video/image/copy
content_url
VARCHAR(500)
S3 URL
status
ENUM
draft/ready/published
published_channels
JSONB
['ig','fb','tt']
TABLE
trading_accounts
id
UUID
PK
user_id
UUID
FK → users(id)
broker_account_id
VARCHAR(100)
MT4 login
account_type
ENUM
demo/live
balance
DECIMAL(18,2)
status
ENUM
active/suspended/closed
API Endpoint Specifications
Authentication
POST
/api/v1/auth/register
Req: {email, password, name, phone}
Res: {user, jwt_token, refresh_token}
Res: {user, jwt_token, refresh_token}
POST
/api/v1/auth/login
Req: {email, password}
Res: {user, tokens}
Res: {user, tokens}
POST
/api/v1/auth/refresh
Req: {refresh_token}
Res: {new_access_token}
Res: {new_access_token}
Content Generation
POST
/api/v1/content/generate
Req: {engine_type, template_id, prompt}
Res: {job_id, status, estimated_time}
Res: {job_id, status, estimated_time}
GET
/api/v1/content/job/{id}
Res: {status, result_url, assets[]}
GET
/api/v1/content/library
Query: ?type=video&status=published
Res: {content[], pagination}
Res: {content[], pagination}
Chat / Omnichannel
POST
/api/v1/chat/incoming
Req: {channel, sender_id, message}
Res: {session_id, ai_response}
Res: {session_id, ai_response}
GET
/api/v1/chat/history/{session}
Res: {messages[], metadata}
POST
/api/v1/chat/handoff
Req: {session_id, agent_id, reason}
Res: {success, assigned_agent}
Res: {success, assigned_agent}
KYC / Verification
POST
/api/v1/kyc/upload
Req: FormData (multipart: files[])
Res: {document_id, ocr_status}
Res: {document_id, ocr_status}
GET
/api/v1/kyc/{doc_id}
Res: {document_data, verification_status}
PUT
/api/v1/kyc/{doc_id}/review
Req: {action: 'approve'|'reject', notes}
Res: {new_status, notification_sent}
Res: {new_status, notification_sent}
Trading / Portfolio
POST
/api/v1/trading/account/open
Req: {user_id, leverage_type, account_type}
Res: {account_id, mt4_credentials}
Res: {account_id, mt4_credentials}
GET
/api/v1/trading/{acc}/portfolio
Res: {positions[], balance, equity, pnl}
GET
/api/v1/market/data
Query: {symbols[], type[]}
Res: {rates, news, sentiment}
Res: {rates, news, sentiment}
AI Assistant
POST
/api/v1/ai/chat
Req: {user_id, message, context}
Res: {response, sources[], disclaimer}
Res: {response, sources[], disclaimer}
GET
/api/v1/ai/insights/{user_id}
Res: {market_summary, portfolio_analysis, alerts[]}
GET
/api/v1/ai/education/path
Query: ?level=beginner&topic=forex
Res: {modules[], progress, recommendations}
Res: {modules[], progress, recommendations}
Security & Compliance Framework
Autentikasi, enkripsi, proteksi data, dan kepatuhan regulasi
Authentication & Authorization
JWT Token Configuration
- Access Token Expiry15 minutes
- Refresh Token Expiry7 days
- AlgorithmRS256
- StorageHttpOnly Cookie
Password Policy
- • Minimum length: 8 characters
- • At least 1 uppercase letter
- • At least 1 number
- • At least 1 special character
- • Banned: Common passwords list
Session Management
- Idle Timeout30 minutes
- Max Concurrent3 sessions/user
- 2FA OptionTOTP (Google Auth)
Data Protection
Encryption Standards
- At RestAES-256-GCM
- In TransitTLS 1.3
- Field-LevelPII Masked
- Key Rotation90 days auto
Backup Strategy
- • Incremental: Daily at 02:00 UTC+7
- • Full backup: Weekly (Sunday 03:00)
- • Retention: 30 days (hot), 1 year (cold)
- • Region: Cross-AZ (us-east-1a/b)
Data Retention
- Operational Data2 years
- Audit Logs7 years
- Chat History365 days
- After RetentionAnonymized
Regulatory Compliance
KYC/AML Standards
- • SEBI/AFSL compliant storage
- • Transaction monitoring: >$10K threshold
- • Sanctions screening: Real-time API
- • SAR filing: Auto-flag suspicious activity
GDPR Compliance
- • Right to erasure: Automated within 30 days
- • Data portability: JSON export API
- • Consent management: Granular opt-in/out
- • DPO contact: privacy@aicore.enterprise
Audit Trail
- Logging LevelImmutable (WORM)
- Retention7 years minimum
- FormatJSON + ELK Stack
- AccessRole-based only
Rate Limiting
- General API100 req/min/IP
- Auth Endpoints10 req/min/IP
- File Upload5 req/min/IP
- DDoS ProtectionAWS Shield Advanced
Error Handling & Edge Cases
Penanganan failure scenarios, fallback mechanisms, dan corner cases
Content Generation Failures
AI API Down
Critical
Queue message in BullMQ → Retry 3x with exponential backoff (1s, 5s, 15s) → If all fail → Notify admin via Slack/PagerDuty → Mark job as FAILED
Image Gen Timeout (>30s)
Warning
Use fallback placeholder image from S3 cache → Flag content for manual review → Log timeout event for analytics
Guardrail Triggered
Alert
Block content from publishing → Return error to user with specific violation reason → Log for compliance audit → Alert content moderator
Storage S3 Error
Warning
Save to local filesystem as fallback → Retry upload every 5min for 1 hour → Sync when S3 recovers → Alert DevOps team
Chat System Edge Cases
User Sends Media File
Info
Compress if image >2MB → Upload to S3 private bucket → Generate signed URL (expiry 1hr) → Send URL reference in chat → Store original for 7 days
Message >10MB
Warning
Reject with friendly error message: "File too large. Max 10MB." → Suggest compressing or using cloud link → Log rejected attempt
User Goes Offline
Info
Queue message in Redis → Push via WebSocket on reconnect → Show "missed messages" badge → Auto-reconnect with exponential backoff (max 30s)
Bot Spam Detected
Critical
Rate limit: 30 messages/minute per session → If exceeded → CAPTCHA challenge → If failed → Temporary ban (1hr) → IP blacklist if repeated
CRM Edge Cases
Duplicate Lead Detected
Warning
Match by phone OR email → Merge records (keep newest, append history) → Notify assigned sales of merge → Update lead score combined
Lead Changes Phone
Info
Update record with new phone → Preserve old phone in history log → Re-validate new phone format → Trigger re-verification if needed
Sales Leaves Company
Alert
Auto-deactivate user account → Reassign all active leads to pool (round-robin) → Transfer ownership of deals to manager → Archive conversation access
User Disputes KYC
Critical
Freeze account immediately (status: UNDER_REVIEW) → Lock trading access → Create support ticket priority HIGH → Admin review required → 72hr SLA resolution
Trading Edge Cases
Market Data API Down
Critical
Switch to cached data (max 5min old) → Display timestamp of last update → Show "Delayed data" warning banner → Retry every 60s → Fallback to secondary provider if available
Broker API Down
Critical
Enter READ-ONLY mode → Queue pending trades locally → Block new position openings → Allow close-only operations → Sync queue when broker recovers
Margin Call <50%
Urgent
Block new positions immediately → Send push notification + email + SMS → Force logout after confirmation → Require risk acknowledgment before re-login
Flash Crash / Extreme Volatility
Emergency
Halt trading UI temporarily → Show "High Volatility Warning" modal → Disable leveraged trade entry → Increase margin requirements by 2x → Alert all affected users
Deployment Infrastructure
Spesifikasi server, cloud architecture, dan CI/CD pipeline untuk production environment
Cloud Infrastructure (AWS)
Primary Configuration
- Regionus-east-1 (Virginia)
- CDNCloudFront (Edge Locations)
- Load BalancerALB (Application LB)
- Auto-Scaling2-10 instances (CPU-based)
Server Specs (per EC2 Instance)
vCPUs
2-4 cores
RAM
8-16 GB
Storage
100GB SSD (EBS gp3)
OS
Amazon Linux 2023
Network Architecture
- • VPC: Custom (10.0.0.0/16) with public + private subnets
- • Security Groups: HTTP(80), HTTPS(443), SSH(22 - bastion only)
- • WAF: AWS WAF with OWASP Top 10 ruleset
- • DDoS: AWS Shield Advanced (always-on protection)
- • NAT Gateway: For private subnet outbound internet
Database & Storage Cluster
Database Services
- PostgreSQL (Primary)RDS 15 (Multi-AZ)
- Instance Classdb.r6g.xlarge
- Storage500GB GP3 (IOPS: 12000)
- Backup Window03:00-04:00 UTC daily
Cache & Queue Layer
- Redis (Session + Cache)ElastiCache 7.x (Cluster mode)
- Node Typecache.r6g.large
- Message QueueBullMQ (Redis-backed)
- Search EngineOpenSearch (chat logs)
Object Storage
- S3 Standard (Active)User uploads, generated content
- S3 Glacier (Archive)90-day+ old files
- EFS (Shared Config)Application config files
- CDN OriginCloudFront → S3
Monitoring & Observability
Infrastructure Monitoring
- • CloudWatch Metrics: CPU, Memory, Disk, Network (1min granularity)
- • CloudWatch Logs: Application logs aggregated centrally
- • X-Ray: Distributed tracing for microservices
- • Custom Dashboards: Grafana (imported from CloudWatch)
APM (Application Performance)
- • Primary: New Relic APM (transaction tracing)
- • Error Tracking: Sentry (real-time exception alerting)
- • Uptime Monitoring: UptimeRobot (5 global probes)
- • Synthetic Checks: Critical user journeys hourly
Incident Management
- • PagerDuty: On-call rotation + escalation policies
- • Slack Integration: #incidents channel real-time alerts
- • Severity Levels: P1 (Critical) → P4 (Low)
- • Response SLA: P1: 15min, P2: 30min, P3: 4hrs, P4: 24hrs
CI/CD Pipeline
Pipeline Stages
1
GitHub Actions CI → Lint, Unit Test, Build Docker Image
2
Push to ECR (Elastic Container Registry)
3
Deploy to Staging (CodeDeploy) → Integration Tests
4
Manual Approval Gate (Production Deploy)
5
Blue-Green Deployment to Production (Zero-downtime)
Rollback Strategy
- • Method: Blue-Green swap (instant rollback)
- • Rollback Window: 30 minutes post-deploy monitoring
- • Automatic Trigger: Error rate >5% or latency >2x baseline
- • Database: Forward-compatible migrations (no downtime)
Environments
Dev
Auto-deploy on push
Staging
Daily at 06:00
Production
Manual approval
System Integration Architecture
Data Flow Topology
ENGINE 1
Marketing
↓
ENGINE 2
Acquisition
↓
ENGINE 3
Conversion
↓
ENGINE 4
Retention
FEEDBACK LOOP
Engine 4 → Engine 1 (Continuous Optimization)
Backend Services
- Centralized Auth (JWT/OAuth2)
- PostgreSQL Database Cluster
- Redis Cache + Message Queue
- AWS S3 File Storage
- ELK Stack Logging
API Gateway
- RESTful APIs (Node.js/NestJS)
- WebSocket Server (Socket.io)
- Rate Limiting & Throttling
- API Versioning Strategy
- Webhook Endpoints
Security Layer
- End-to-End Encryption (TLS 1.3)
- Data Encryption at Rest (AES-256)
- Role-Based Access Control (RBAC)
- Immutable Audit Logging
- DDoS Protection (Cloudflare)
Technology Stack Summary
Frontend
- React.js / Next.js 14
- TypeScript
- Tailwind CSS
- React Native / Flutter
Backend
- Node.js / NestJS
- GraphQL + REST APIs
- Socket.io (Real-time)
- BullMQ (Job Queue)
Database
- PostgreSQL (Primary)
- MongoDB (Chat logs)
- Redis (Cache + Session)
- Pinecone/Qdrant (Vector DB)
AI / ML
- OpenAI GPT-4 / Claude
- Stable Diffusion (Image)
- Google Cloud Vision (OCR)
- RAG Implementation
System Goal & Expected Outcomes
Primary Objectives
End-to-End Automation
Eliminate manual bottlenecks from content creation to customer retention through intelligent automation at every stage.
Unified Data Ecosystem
Single source of truth where customer data flows seamlessly between engines without silos or data fragmentation.
Scalable Growth Engine
Architecture designed to handle 10x growth without significant reengineering, supporting business expansion.
Measurable Outcomes
10x
Content Output Velocity
24/7
Lead Response Time
-60%
Manual Admin Work
+40%
Customer Retention Rate
Key Success Metric: The closed-loop feedback mechanism (Engine 4 → Engine 1) ensures the system continuously learns from real user behavior, optimizing marketing spend, improving lead quality, and increasing lifetime customer value over time.
The Bottom Line
"Bukan 4 sistem terpisah yang harus di-integrasi manual. Ini adalah satu organisme digital dimana setiap bagian bernapas bersama, belajar bersama, dan tumbuh bersama — didesain dari ground up untuk skala enterprise."
End-to-End Automated
Data Never Siloed
Continuously Learning
Enterprise-Ready