AI-Powered Marketing Mix Modeling & Analytics Platform

High-Level System Architecture for 1 Million Users

Concurrent Users

10K

QPS Peak Load

<2s

Response Time

99.99%

SLA Uptime

Component Types

Web/UI Components

Mobile Components

AI/ML Services

Security Components

Data Storage

Cache/Memory

🌐 Edge Layer - User Interface

💻

Web Application

React/Next.js

SSR, PWA, WebSocket, Real-time Chat Interface

📱

Mobile Apps

React Native/Flutter

Cross-platform, Offline-first, Push Notifications

🔗

External BI Tools

REST/GraphQL APIs

Tableau, Power BI, Custom Integrations

📊

Data Sources

Marketing Platforms

Google Ads, Facebook, CRM, Analytics

🚪 API Gateway Layer - Traffic Management

🌍

CDN

CloudFront/Cloudflare

Global Edge Locations, Asset Caching, DDoS Protection

🛡️

Web Application Firewall

AWS WAF/Cloudflare

SQL Injection Prevention, XSS Protection, Rate Limiting

⚖️

Load Balancer

ALB/NLB

Multi-AZ, Health Checks, Auto-scaling

🚪

API Gateway

Kong/AWS Gateway

OAuth2/JWT, Rate Limiting, Request Routing, CORS

🧠 Inference Layer - AI Core Intelligence

🔍

Query Classification

LangChain + LLM

Intent Recognition, Entity Extraction, Context Understanding, GPT-4/Llama

💾

SQL Generation

LangGraph + T2SQL

Text-to-SQL, Query Optimization, Validation, CodeT5/T5

📈

Response Formatting

GPT-4 + Visualization

NL Summaries, Interactive Charts, Insights, Plotly/D3.js

⚙️ Business Logic Layer - Core Services

💬

Conversation Management

Redis + ChromaDB

Session State, Context History, Vector Search, Memory

👥

User & Project Service

PostgreSQL + Redis

User Profiles, RBAC, Multi-tenancy, Project Management

🔄

Data Ingestion

Kafka + Spark/Flink

ETL/ELT, Stream Processing, Data Connectors, Event-driven

⚡

Query Execution

Connection Pool + Cache

Query Orchestration, Result Caching, Connection Management

🤖

MMM Model Engine

PyTorch + Kubeflow

Model Training, Inference, A/B Testing, AutoML

📚

Model Registry

MLflow + S3

Version Control, Metadata, Deployment, Model Governance

🗄️ Data Layer - Storage & Processing

🏔️

Raw Data Lake

S3/ADLS/GCS

Petabyte Scale, Parquet/Delta, Data Lineage, Multi-format

🏭

Data Warehouse

Snowflake/BigQuery

MPP Architecture, Star Schema, Auto-scaling, Analytics-optimized

🔮

Vector Database

ChromaDB Cluster

Semantic Search, Embeddings, RAG, Context Retrieval

⚡

Cache Layer

Redis Cluster

Session Cache, Query Results, Model Cache, Sub-ms Latency

💽

Operational DBs

PostgreSQL HA + MongoDB

ACID Compliance, Read Replicas, Sharding, Multi-AZ

🔧 Infrastructure

Kubernetes (EKS/GKE/AKS)

📊 Monitoring

Prometheus + Grafana + ELK

🚀 CI/CD

GitLab CI/CD + ArgoCD

🔒 Security

Zero Trust + Encryption