Redis Analytics Platform

🚀 Redis Social Media Analytics Platform

Enterprise-Grade Social Media Analytics Platform showcasing the full power of Redis Stack multi-model capabilities with advanced AI, real-time processing, and comprehensive business intelligence.

Git: https://github.com/sreejagatab/Redis-Analytics-Platform
Live: https://redis-analytics-platform.vercel.app/

📋 Table of Contents

• 🎯 Overview
• 🏗️ Architecture
• 🌟 Features
• 🚀 Quick Start
• 📊 User Workflows
• 👨‍💼 Admin Workflows
• 🛠️ Technology Stack
• 📈 Redis Multi-Model Usage
• 🔧 Configuration
• 📚 Documentation
• 🧪 Testing
• ☸️ Deployment
• 🤝 Contributing

🎯 Overview

The Redis Social Media Analytics Platform is a comprehensive, enterprise-grade solution that demonstrates the full capabilities of Redis Stack through a sophisticated social media analytics system. Built with modern microservices architecture, it provides real-time analytics, AI-powered insights, and advanced business intelligence capabilities.

🎪 Live Demo

• Frontend Dashboard: http://localhost:3002
• API Gateway: http://localhost:4000
• GraphQL Playground: http://localhost:4000/graphql
• Redis Insight: http://localhost:8001

🏆 Key Achievements

• 16 Microservices with 150+ API endpoints and complete service mesh
• Complete Redis Stack Integration (JSON, Search, TimeSeries, Streams, Graph, Bloom, Geo)
• Full Frontend-Backend Integration with health monitoring and graceful fallback
• 28 Frontend Features with complete sidebar navigation integration
• 19 Advanced Analytics Services integrated into responsive dashboard
• Enterprise Security with advanced threat detection, MFA, and audit logging
• Production-Ready Kubernetes deployment with comprehensive monitoring stack
• Advanced AI/ML Pipeline with 5 model types, training jobs, and evaluation metrics
• Real-time Processing with multi-platform streaming and event processing
• Comprehensive System Monitoring with health checks, metrics, and alerting
• Data Lifecycle Management with automated archival and compliance reporting
• Performance Optimization with intelligent caching, load balancing, and scaling

🏗️ Architecture

🎯 Complete Service Architecture (16 Services)

graph TB
    subgraph "Frontend Layer"
        FE[Frontend Dashboard<br/>Port 3002<br/>Next.js + React]
    end

    subgraph "API Gateway Layer"
        GW[API Gateway<br/>Port 4000<br/>GraphQL + REST]
    end

    subgraph "Core Services"
        AUTH[Authentication Service<br/>Port 4001<br/>JWT + MFA]
        INGEST[Data Ingestion<br/>Port 4002<br/>Multi-platform]
        ANALYTICS[Analytics Engine<br/>Port 4003<br/>Redis Multi-model]
        SEARCH[Search Service<br/>Port 4007<br/>RediSearch + Vector]
    end

    subgraph "Advanced Services"
        GEO[Geographic Analytics<br/>Port 4008<br/>Location Intelligence]
        EXPORT[Export & Reporting<br/>Port 4009<br/>Business Intelligence]
        ADMIN[Admin Panel<br/>Port 4010<br/>System Management]
        ML[ML Features<br/>Port 4011<br/>AI + Predictions]
    end

    subgraph "Infrastructure Services"
        REALTIME[Real-time Processing<br/>Port 4012<br/>WebSocket + Streams]
        MONITOR[Monitoring Stack<br/>Port 4013<br/>Observability]
        PERF[Performance Optimization<br/>Port 4014<br/>Scaling + Caching]
        SECURITY[Advanced Security<br/>Port 4015<br/>Threat Detection]
        BI[Analytics & BI<br/>Port 4016<br/>Predictive Analytics]
    end

    subgraph "Data Layer"
        REDIS[(Redis Stack<br/>Port 6379<br/>Multi-model Database)]
    end

    FE --> GW
    GW --> AUTH
    GW --> INGEST
    GW --> ANALYTICS
    GW --> SEARCH
    GW --> GEO
    GW --> EXPORT
    GW --> ADMIN
    GW --> ML
    GW --> REALTIME
    GW --> MONITOR
    GW --> PERF
    GW --> SECURITY
    GW --> BI

    AUTH --> REDIS
    INGEST --> REDIS
    ANALYTICS --> REDIS
    SEARCH --> REDIS
    GEO --> REDIS
    EXPORT --> REDIS
    ADMIN --> REDIS
    ML --> REDIS
    REALTIME --> REDIS
    MONITOR --> REDIS
    PERF --> REDIS
    SECURITY --> REDIS
    BI --> REDIS

🔥 Redis Multi-Model Integration

graph LR
    subgraph "Redis Stack Modules"
        JSON[RedisJSON<br/>Document Store]
        SEARCH[RediSearch<br/>Full-text + Vector]
        TS[RedisTimeSeries<br/>Metrics + Analytics]
        STREAMS[RedisStreams<br/>Real-time Processing]
        GRAPH[RedisGraph<br/>Social Networks]
        BLOOM[RedisBloom<br/>Probabilistic]
        GEO[RedisGeo<br/>Location Data]
        PUBSUB[RedisPubSub<br/>Event Messaging]
    end

    subgraph "Use Cases"
        POSTS[Social Media Posts]
        USERS[User Profiles]
        METRICS[Real-time Metrics]
        EVENTS[Event Streams]
        NETWORKS[Social Networks]
        DEDUP[Duplicate Detection]
        LOCATION[Geographic Data]
        NOTIFICATIONS[Real-time Updates]
    end

    JSON --> POSTS
    JSON --> USERS
    SEARCH --> POSTS
    SEARCH --> USERS
    TS --> METRICS
    STREAMS --> EVENTS
    GRAPH --> NETWORKS
    BLOOM --> DEDUP
    GEO --> LOCATION
    PUBSUB --> NOTIFICATIONS

🌟 Features

🎯 Core Analytics Features

• 📊 Real-time Analytics - Process 10,000+ posts/second with sub-100ms latency
• 🧠 AI-Powered Insights - Advanced sentiment analysis and trend prediction
• 🔍 Advanced Search - Full-text, semantic, and vector similarity search
• 📈 Predictive Analytics - Trend forecasting with confidence intervals
• 🌍 Geographic Intelligence - Location-based analytics and heat maps
• 📱 Multi-platform Support - Twitter, Instagram, Reddit, Facebook integration
• ⚡ Real-time Processing - WebSocket updates and Redis Streams
• 📋 Business Intelligence - Comprehensive reporting and KPI dashboards

🔐 Enterprise Security Features

• 🛡️ Advanced Security - Vulnerability scanning and threat detection
• 🔑 Multi-Factor Authentication - Enterprise-grade user authentication
• 📝 Audit Logging - Comprehensive security event tracking
• 🚫 Rate Limiting - Advanced API protection and DDoS prevention
• 🔒 Data Encryption - End-to-end encryption at rest and in transit
• 👥 RBAC - Role-based access control with fine-grained permissions

🎯 Advanced Analytics Platform

• 📊 Comprehensive Dashboard - 19 integrated analytics services with responsive navigation
• 🔍 Multi-Type Search - Text, vector, semantic, and hybrid search capabilities
• 🌐 Social Network Analysis - PageRank, centrality metrics, and community detection
• 🛡️ Bloom Filter Deduplication - Probabilistic duplicate detection with 99.9% accuracy
• 🧠 Advanced NLP Pipelines - Entity extraction, sentiment analysis, and text classification
• 🤖 ML Model Management - Training, deployment, and evaluation with comprehensive monitoring
• 📋 Automated Reporting - Scheduled reports with multiple export formats
• 📈 Graph Database Queries - Complex relationship analysis with Cypher-like queries
• 📊 Real-time Monitoring - System health, alerts, and distributed tracing
• 🎯 Engagement Prediction - ML-powered engagement forecasting with confidence intervals
• 🏷️ Content Categorization - Automated content classification and tagging
• ⚠️ Anomaly Detection - Intelligent detection of viral content and system anomalies
• 🔎 Faceted Search - Advanced filtering with real-time topic discovery

🔗 Frontend-Backend Integration

• 🏥 Health Monitoring - Real-time backend service health checking with circuit breaker patterns
• 🔄 Graceful Fallback - Smart fallback system: Backend → Live Analytics → Sample Data
• 📡 Centralized API Client - Unified backend communication with automatic failover
• 🎛️ Complete Sidebar Integration - All 28 navigation items connected to backend services
• 📊 Data Source Transparency - Clear indication of data sources (backend vs fallback)
• ⚡ Performance Optimization - Request routing, caching, and intelligent load balancing
• 🛠️ Service Discovery - Automatic backend service detection and routing
• 📈 19 Analytics Services - All analytics services fully integrated with responsive navigation
• 🔧 Admin Panel Integration - Complete user, team, and system management
• 📂 Data Management - Posts, feeds, streams, and data hub fully connected
• 🚨 System Monitoring - Health checks, logs, alerts, and status monitoring

📊 Monitoring & Observability

• 📈 Prometheus Metrics - Comprehensive application and infrastructure metrics
• 📊 Grafana Dashboards - Real-time visualization and alerting
• 🔍 Distributed Tracing - Request tracing across microservices
• 📝 Centralized Logging - Structured logging with correlation IDs
• 🚨 Intelligent Alerting - Smart alerting with escalation policies and anomaly detection
• 🎯 Performance Optimization - Automated scaling and caching strategies
• 🏥 Service Health Monitoring - Real-time health checks for all 16 backend services
• 📊 System Status Dashboard - Comprehensive system overview with resource utilization
• ⚡ Real-time Stream Monitoring - Live monitoring of data ingestion pipelines
• 🤖 ML Model Monitoring - Training job tracking and model performance metrics

🗄️ Data Lifecycle Management

• 📦 Automated Data Archival - Intelligent data retention policies with configurable rules
• 🔄 Data Lifecycle Policies - Hot, warm, and cold storage tiers with automatic transitions
• 🗜️ Data Compression - Advanced compression algorithms for storage optimization
• 🔐 Secure Data Deletion - GDPR-compliant data removal with audit trails
• 📊 Storage Analytics - Real-time storage usage monitoring and optimization recommendations
• ⏰ Scheduled Maintenance - Automated cleanup jobs and data optimization tasks
• 🔄 Data Migration Tools - Seamless data movement between storage tiers
• 📋 Compliance Reporting - Automated reports for data retention compliance

🗄️ Data Archival & Lifecycle Management

🔄 Automated Data Lifecycle

flowchart TD
    START([New Data Ingested]) --> HOT[Hot Storage<br/>Redis Stack<br/>Immediate Access]
    HOT --> AGE1{Age > 7 days?}
    AGE1 -->|No| HOT
    AGE1 -->|Yes| WARM[Warm Storage<br/>Compressed Redis<br/>Occasional Access]
    WARM --> AGE2{Age > 30 days?}
    AGE2 -->|No| WARM
    AGE2 -->|Yes| COLD[Cold Storage<br/>File System<br/>Archival Access]
    COLD --> AGE3{Age > 365 days?}
    AGE3 -->|No| COLD
    AGE3 -->|Yes| RETENTION{Retention Policy?}
    RETENTION -->|Keep| ARCHIVE[Long-term Archive<br/>Encrypted Storage<br/>Compliance Ready]
    RETENTION -->|Delete| SECURE_DELETE[Secure Deletion<br/>GDPR Compliant<br/>Audit Trail]

    subgraph "Lifecycle Policies"
        POLICY1[Social Media Posts<br/>Retention: 2 years]
        POLICY2[Analytics Data<br/>Retention: 5 years]
        POLICY3[User Data<br/>Retention: 7 years]
        POLICY4[Audit Logs<br/>Retention: 10 years]
    end

    RETENTION --> POLICY1
    RETENTION --> POLICY2
    RETENTION --> POLICY3
    RETENTION --> POLICY4

📦 Storage Tier Architecture

graph TB
    subgraph "Hot Storage (0-7 days)"
        REDIS[Redis Stack<br/>In-Memory<br/>Sub-ms latency]
        JSON[RedisJSON Documents]
        SEARCH[RediSearch Indexes]
        TS[RedisTimeSeries]
        STREAMS[RedisStreams]
        GRAPH[RedisGraph]
    end

    subgraph "Warm Storage (7-30 days)"
        COMPRESSED[Compressed Redis<br/>Memory Optimized<br/>~5ms latency]
        BLOOM[BloomFilters<br/>Duplicate Detection]
        AGGREGATED[Aggregated Metrics<br/>Daily Summaries]
    end

    subgraph "Cold Storage (30-365 days)"
        FILES[File System<br/>JSON/Parquet<br/>~100ms latency]
        INDEXED[Searchable Indexes<br/>Metadata Only]
        COMPRESSED_FILES[Compressed Archives<br/>GZIP/LZ4]
    end

    subgraph "Archive Storage (365+ days)"
        ENCRYPTED[Encrypted Archives<br/>Long-term Retention]
        COMPLIANCE[Compliance Reports<br/>Audit Ready]
        SECURE_DELETE[Secure Deletion<br/>GDPR Compliant]
    end

    REDIS --> COMPRESSED
    COMPRESSED --> FILES
    FILES --> ENCRYPTED

    subgraph "Automation"
        SCHEDULER[Cron Scheduler<br/>Daily/Weekly Jobs]
        MONITOR[Storage Monitor<br/>Usage Analytics]
        ALERTS[Policy Alerts<br/>Compliance Warnings]
    end

    SCHEDULER --> REDIS
    SCHEDULER --> COMPRESSED
    SCHEDULER --> FILES
    MONITOR --> ALERTS

📋 Data Lifecycle Policies

Data Type	Hot Period	Warm Period	Cold Period	Archive Period	Retention
Social Posts	7 days	30 days	365 days	2 years	Delete
Analytics Metrics	7 days	90 days	730 days	5 years	Archive
User Profiles	Always Hot	-	365 days	7 years	Archive
Search Indexes	14 days	30 days	-	-	Rebuild
ML Training Data	30 days	90 days	365 days	Permanent	Archive
Audit Logs	30 days	90 days	365 days	10 years	Archive
System Metrics	7 days	30 days	90 days	1 year	Delete
Error Logs	14 days	30 days	90 days	1 year	Delete

🔐 Compliance & Security

• GDPR Compliance: Right to erasure with secure deletion and audit trails
• Data Encryption: AES-256 encryption for archived data
• Access Controls: Role-based access with audit logging
• Retention Policies: Configurable retention periods per data type
• Audit Trails: Complete data lifecycle tracking
• Secure Deletion: DOD 5220.22-M compliant data wiping

📊 User Workflows

👤 End User Journey

journey
    title Social Media Analytics User Journey
    section Discovery
      Visit Dashboard: 5: User
      View Overview: 4: User
      Explore Analytics: 5: User
    section Analysis
      Search Content: 5: User
      Filter by Platform: 4: User
      Analyze Trends: 5: User
      View Geographic Data: 4: User
    section Insights
      Generate Reports: 5: User
      Export Data: 4: User
      Share Insights: 5: User
      Set Alerts: 4: User
    section Collaboration
      Create Teams: 3: User
      Share Dashboards: 4: User
      Collaborate: 5: User

🔄 User Interaction Flow

flowchart TD
    START([User Visits Platform]) --> LOGIN{Authenticated?}
    LOGIN -->|No| AUTH[Login/Register]
    LOGIN -->|Yes| DASHBOARD[Main Dashboard]
    AUTH --> DASHBOARD

    DASHBOARD --> OVERVIEW[Overview Analytics]
    DASHBOARD --> SEARCH[Search & Filter]
    DASHBOARD --> REPORTS[Generate Reports]
    DASHBOARD --> SETTINGS[User Settings]

    OVERVIEW --> REALTIME[Real-time Metrics]
    OVERVIEW --> TRENDS[Trend Analysis]
    OVERVIEW --> SENTIMENT[Sentiment Analysis]

    SEARCH --> FULLTEXT[Full-text Search]
    SEARCH --> SEMANTIC[Semantic Search]
    SEARCH --> FILTERS[Advanced Filters]

    REPORTS --> EXPORT[Export Data]
    REPORTS --> SCHEDULE[Schedule Reports]
    REPORTS --> SHARE[Share Reports]

    REALTIME --> ALERTS[Set Alerts]
    TRENDS --> PREDICTIONS[View Predictions]
    EXPORT --> FORMATS[CSV/JSON/PDF]

📊 Analytics Dashboard Architecture

🎯 Complete Analytics Integration (19 Services)

graph TB
    subgraph "Primary Analytics (Always Visible)"
        OVERVIEW[📊 Overview<br/>System metrics & KPIs]
        TRENDS[📈 Trends<br/>Trending topics & growth]
        ENGAGEMENT[❤️ Engagement<br/>Likes, shares, comments]
        SENTIMENT[💭 Sentiment<br/>Emotion analysis]
        VIRAL[🔥 Viral Content<br/>High-impact posts]
    end

    subgraph "AI & ML Services"
        NLP[🧠 NLP Insights<br/>Text analysis]
        NLP_ADVANCED[⚡ NLP Pipelines<br/>Advanced workflows]
        ML_TRAINING[🎯 ML Training<br/>Model management]
        PREDICTIONS[📊 Predictions<br/>Engagement forecasting]
        CATEGORIZATION[🏷️ Categories<br/>Content classification]
    end

    subgraph "Network & Search"
        SOCIAL_NET[👥 Social Network<br/>Graph analysis]
        SEARCH[🔍 Advanced Search<br/>Multi-type search]
        GRAPH_Q[📊 Graph Queries<br/>Relationship analysis]
        GEO[🌍 Geographic<br/>Location analytics]
    end

    subgraph "System & Operations"
        DEDUP[🛡️ Deduplication<br/>Bloom filters]
        ALERTS[⚠️ Anomaly Alerts<br/>System alerts]
        ANOMALIES[🔍 Anomaly Detection<br/>Advanced detection]
        MONITORING[📊 Monitoring<br/>System health]
        REPORTS[📋 Reports<br/>Automated reporting]
    end

    subgraph "Data Pipeline"
        BACKEND[Backend Services<br/>Real-time data] --> FALLBACK[Live Analytics<br/>Processing layer]
        FALLBACK --> SAMPLE[Sample Data<br/>Always available]
    end

    OVERVIEW --> BACKEND
    TRENDS --> BACKEND
    ENGAGEMENT --> BACKEND
    SENTIMENT --> BACKEND
    VIRAL --> BACKEND
    NLP --> BACKEND
    NLP_ADVANCED --> BACKEND
    ML_TRAINING --> BACKEND
    PREDICTIONS --> BACKEND
    CATEGORIZATION --> BACKEND
    SOCIAL_NET --> BACKEND
    SEARCH --> BACKEND
    GRAPH_Q --> BACKEND
    GEO --> BACKEND

🎛️ Sidebar Navigation Integration

graph LR
    subgraph "📊 Main Navigation"
        DASH[Dashboard<br/>Overview & metrics]
        ANALYTICS[Analytics<br/>19 service dashboard]
        VIZ[Visualizations<br/>Charts & graphs]
        SEARCH_NAV[Search<br/>Content discovery]
        GEO_NAV[Geographic<br/>Location insights]
        REALTIME[Real-time<br/>Live streaming]
        TRENDING[Trending<br/>Popular content]
        REP[Reports<br/>Export & scheduling]
    end

    subgraph "📁 Data Management"
        POSTS[Posts<br/>Content management]
        FEED[Social Feed<br/>Live updates]
        STREAM[Live Stream<br/>Real-time processing]
        HUB[Data Hub<br/>Data operations]
    end

    subgraph "⚙️ Admin Panel"
        USERS[Users<br/>User management]
        TEAMS[Teams<br/>Organization]
        ADMIN_PANEL[Admin<br/>System admin]
        MON[Monitoring<br/>System health]
        LOGS[Logs<br/>System logs]
        ALERT_PANEL[Alerts<br/>Alert management]
    end

    subgraph "🔧 System"
        SETTINGS[Settings<br/>Configuration]
        API_DOCS[API Docs<br/>Documentation]
        HEALTH[Health<br/>Service status]
        STATUS[Status<br/>System overview]
    end

    subgraph "Backend Integration"
        API_GATEWAY[API Gateway<br/>Port 4000]
        AUTH_SVC[Auth Service<br/>Port 4001]
        DATA_SVC[Data Ingestion<br/>Port 4002]
        ANALYTICS_SVC[Analytics Engine<br/>Port 4003]
        SEARCH_SVC[Search Service<br/>Port 4007]
        ML_SVC[ML Features<br/>Port 4009]
        MONITOR_SVC[Monitoring Stack<br/>Port 4008]
    end

    DASH --> API_GATEWAY
    ANALYTICS --> ANALYTICS_SVC
    SEARCH_NAV --> SEARCH_SVC
    USERS --> AUTH_SVC
    POSTS --> DATA_SVC
    MON --> MONITOR_SVC
    HEALTH --> API_GATEWAY

🔄 Data Flow & Fallback System

sequenceDiagram
    participant UI as Frontend UI
    participant API as Frontend API
    participant CLIENT as Backend Client
    participant HEALTH as Health Check
    participant BACKEND as Backend Services
    participant LIVE as Live Analytics
    participant SAMPLE as Sample Data

    UI->>API: Request Analytics Data
    API->>CLIENT: Initialize Backend Client
    CLIENT->>HEALTH: Check Service Health

    alt Backend Services Healthy
        HEALTH-->>CLIENT: ✅ Services Available
        CLIENT->>BACKEND: Fetch Real Data
        BACKEND-->>CLIENT: Real Analytics Data
        CLIENT-->>API: Backend Data + Meta
        API-->>UI: Real Data (source: backend)
    else Backend Services Unavailable
        HEALTH-->>CLIENT: ❌ Services Down
        CLIENT->>LIVE: Fallback to Live Analytics
        LIVE-->>CLIENT: Processed Data
        CLIENT-->>API: Live Data + Meta
        API-->>UI: Live Data (source: fallback)
    else All Services Failed
        CLIENT->>SAMPLE: Final Fallback
        SAMPLE-->>CLIENT: Sample Data
        CLIENT-->>API: Sample Data + Meta
        API-->>UI: Sample Data (source: sample)
    end

    Note over UI: UI Always Shows Data<br/>With Source Transparency

👨‍💼 Admin Workflows

🔧 System Administration Flow

flowchart TD
    ADMIN_START([Admin Login]) --> ADMIN_DASH[Admin Dashboard]

    ADMIN_DASH --> USERS[User Management]
    ADMIN_DASH --> SYSTEM[System Monitoring]
    ADMIN_DASH --> SECURITY[Security Center]
    ADMIN_DASH --> CONFIG[Configuration]

    USERS --> USER_CREATE[Create Users]
    USERS --> USER_ROLES[Manage Roles]
    USERS --> USER_AUDIT[Audit Logs]

    SYSTEM --> METRICS[System Metrics]
    SYSTEM --> HEALTH[Health Checks]
    SYSTEM --> SCALING[Auto Scaling]
    SYSTEM --> PERFORMANCE[Performance Tuning]

    SECURITY --> THREATS[Threat Detection]
    SECURITY --> VULNERABILITIES[Vulnerability Scans]
    SECURITY --> POLICIES[Security Policies]
    SECURITY --> INCIDENTS[Incident Response]

    CONFIG --> SERVICES[Service Config]
    CONFIG --> REDIS[Redis Config]
    CONFIG --> ALERTS[Alert Rules]
    CONFIG --> BACKUP[Backup Settings]

📊 Monitoring & Operations

graph TB
    subgraph "Monitoring Stack"
        PROMETHEUS[Prometheus<br/>Metrics Collection]
        GRAFANA[Grafana<br/>Visualization]
        LOKI[Loki<br/>Log Aggregation]
        JAEGER[Jaeger<br/>Distributed Tracing]
        ALERTMANAGER[AlertManager<br/>Alert Routing]
    end

    subgraph "Data Sources"
        SERVICES[Microservices<br/>Metrics & Logs]
        REDIS_METRICS[Redis<br/>Performance Metrics]
        INFRA[Infrastructure<br/>System Metrics]
        APPS[Applications<br/>Business Metrics]
    end

    subgraph "Alerting Channels"
        SLACK[Slack Notifications]
        EMAIL[Email Alerts]
        PAGER[PagerDuty]
        WEBHOOK[Custom Webhooks]
    end

    SERVICES --> PROMETHEUS
    REDIS_METRICS --> PROMETHEUS
    INFRA --> PROMETHEUS
    APPS --> PROMETHEUS

    SERVICES --> LOKI
    SERVICES --> JAEGER

    PROMETHEUS --> GRAFANA
    LOKI --> GRAFANA
    JAEGER --> GRAFANA

    PROMETHEUS --> ALERTMANAGER
    ALERTMANAGER --> SLACK
    ALERTMANAGER --> EMAIL
    ALERTMANAGER --> PAGER
    ALERTMANAGER --> WEBHOOK

🛠️ Technology Stack

🔧 Backend Architecture

• Runtime: Node.js 18+ with TypeScript 5.0
• Frameworks: Express.js, Fastify, Apollo Server
• Database: Redis Stack (JSON, Search, TimeSeries, Streams, Graph, Bloom)
• Authentication: JWT, OAuth 2.0, Multi-Factor Authentication
• Real-time: Socket.io, WebSockets, Server-Sent Events
• Message Queue: Redis Streams, Bull Queue
• ML/AI: TensorFlow.js, Natural NLP, OpenAI API
• Testing: Jest, Supertest, Artillery (80%+ coverage)

🎨 Frontend Stack

• Framework: Next.js 13+ with App Router, React 18
• State Management: Redux Toolkit, RTK Query
• Styling: Tailwind CSS, Headless UI
• Charts: D3.js, Recharts, Chart.js
• Maps: Mapbox GL JS, Leaflet
• Real-time: Socket.io-client, React Query
• Testing: Cypress, Jest, React Testing Library

☸️ DevOps & Infrastructure

• Containerization: Docker, Docker Compose
• Orchestration: Kubernetes, Helm Charts
• CI/CD: GitHub Actions, GitLab CI
• Monitoring: Prometheus, Grafana, Loki, Jaeger
• Security: Trivy, OWASP ZAP, Snyk
• Load Balancing: NGINX Ingress, HAProxy
• Service Mesh: Istio (optional)

📈 Redis Multi-Model Usage

🎯 Advanced Redis Stack Integration

Module	Use Case	Implementation	Performance
RedisJSON	Social media posts, user profiles	Document storage with complex queries	100K+ ops/sec
RediSearch	Full-text search, semantic search	Advanced indexing with vector similarity	Sub-10ms queries
RedisTimeSeries	Real-time metrics, analytics	High-frequency data ingestion	1M+ points/sec
RedisStreams	Event processing, real-time updates	Message streaming with consumer groups	500K+ msgs/sec
RedisGraph	Social networks, relationships	Graph traversal and analytics	Complex queries <50ms
RedisBloom	Duplicate detection, recommendations	Probabilistic data structures	Memory efficient
RedisGeo	Location analytics, proximity	Geospatial queries and indexing	Radius queries <5ms

🔥 Real-World Examples

// RedisJSON: Store complex social media posts
await redis.json.set('post:123', '$', {
  id: '123',
  content: 'Amazing Redis capabilities!',
  author: { id: 'user456', name: 'John Doe' },
  metrics: { likes: 150, shares: 23, comments: 45 },
  hashtags: ['#redis', '#analytics', '#realtime'],
  location: { lat: 37.7749, lng: -122.4194 },
  timestamp: '2024-01-15T10:30:00Z'
});

// RediSearch: Advanced search with filters
const results = await redis.ft.search('posts_idx',
  '@content:(redis analytics) @hashtags:{#redis} @metrics_likes:[100 +inf]',
  { LIMIT: { from: 0, size: 10 } }
);

// RedisTimeSeries: Real-time metrics
await redis.ts.add('engagement:hourly', '*', 1250, {
  LABELS: { platform: 'twitter', metric: 'engagement_rate' }
});

// RedisStreams: Event processing
await redis.xadd('social_events', '*', {
  event: 'post_created',
  post_id: '123',
  user_id: 'user456',
  platform: 'twitter'
});

🚀 Quick Start

⚡ One-Command Deployment

# Clone and start everything
git clone https://github.com/your-org/redis-social-media-analytics.git
cd redis-social-media-analytics
docker-compose up -d

# Access the platform
open http://localhost:3002  # Frontend Dashboard
open http://localhost:4000  # API Gateway
open http://localhost:8001  # Redis Insight

🐳 Docker Compose (Recommended)

# docker-compose.yml
version: '3.8'
services:
  redis-stack:
    image: redis/redis-stack:latest
    ports:
      - "6379:6379"
      - "8001:8001"
    volumes:
      - redis_data:/data
    environment:
      - REDIS_ARGS=--save 60 1000

  api-gateway:
    build: ./services/api-gateway
    ports:
      - "4000:4000"
    environment:
      - REDIS_HOST=redis-stack
      - NODE_ENV=production
    depends_on:
      - redis-stack

  frontend-dashboard:
    build: ./web-dashboard
    ports:
      - "3002:3002"
    environment:
      - NEXT_PUBLIC_API_URL=http://localhost:4000
    depends_on:
      - api-gateway

volumes:
  redis_data:

☸️ Kubernetes Deployment

# Deploy with Helm
helm install redis-analytics ./helm/redis-analytics \
  --namespace redis-analytics \
  --create-namespace \
  --values ./helm/redis-analytics/values-production.yaml

# Check deployment status
kubectl get pods -n redis-analytics
kubectl get services -n redis-analytics

# Access services
kubectl port-forward svc/frontend-dashboard-service 3002:3002 -n redis-analytics
kubectl port-forward svc/api-gateway-service 4000:4000 -n redis-analytics

🔧 Local Development

# Prerequisites
node -v  # v18+
docker -v
kubectl version --client

# Start Redis Stack
docker run -d --name redis-stack \
  -p 6379:6379 -p 8001:8001 \
  redis/redis-stack:latest

# Install dependencies and start services
npm run install:all
npm run dev:all

# Or start individual services
cd services/api-gateway && npm run dev &
cd services/auth-service && npm run dev &
cd services/analytics-engine && npm run dev &
cd web-dashboard && npm run dev

🔧 Configuration

🌍 Environment Variables

# Redis Configuration
REDIS_HOST=localhost
REDIS_PORT=6379
REDIS_PASSWORD=your-secure-password
REDIS_DB=0

# JWT & Security
JWT_SECRET=your-super-secure-jwt-secret-key
JWT_EXPIRES_IN=24h
REFRESH_TOKEN_EXPIRES_IN=7d
BCRYPT_ROUNDS=12

# API Configuration
API_GATEWAY_PORT=4000
AUTH_SERVICE_PORT=4001
ANALYTICS_ENGINE_PORT=4003
SEARCH_SERVICE_PORT=4007

# External APIs
OPENAI_API_KEY=your-openai-api-key
TWITTER_API_KEY=your-twitter-api-key
INSTAGRAM_API_KEY=your-instagram-api-key

# Monitoring
PROMETHEUS_PORT=9090
GRAFANA_PORT=3000
LOG_LEVEL=info

# Production Settings
NODE_ENV=production
CLUSTER_MODE=true
MAX_WORKERS=4

⚙️ Redis Configuration

# redis.conf optimizations
maxmemory 2gb
maxmemory-policy allkeys-lru
save 900 1
save 300 10
save 60 10000

# Redis Stack modules
loadmodule /opt/redis-stack/lib/redisearch.so
loadmodule /opt/redis-stack/lib/redistimeseries.so
loadmodule /opt/redis-stack/lib/redisjson.so
loadmodule /opt/redis-stack/lib/redisbloom.so
loadmodule /opt/redis-stack/lib/redisgraph.so

🧪 Testing

🎯 Comprehensive Test Suite

# Run all tests
npm run test:all

# Run tests by category
npm run test:unit        # Unit tests (80%+ coverage)
npm run test:integration # Integration tests
npm run test:e2e         # End-to-end tests
npm run test:load        # Load testing
npm run test:security    # Security testing

# Test individual services
cd services/api-gateway && npm test
cd services/auth-service && npm test
cd services/analytics-engine && npm test

# Generate coverage report
npm run test:coverage
open coverage/lcov-report/index.html

📊 Test Coverage Goals

• Unit Tests: 80%+ coverage
• Integration Tests: All API endpoints
• E2E Tests: Critical user journeys
• Load Tests: 10,000+ concurrent users
• Security Tests: OWASP Top 10 compliance

🔍 Testing Tools

• Unit: Jest, Supertest, Sinon
• Integration: Testcontainers, Docker Compose
• E2E: Cypress, Playwright
• Load: Artillery, k6
• Security: OWASP ZAP, Snyk, Trivy

📚 Documentation

📖 Complete Documentation Suite

Document	Description	Link
API Reference	Complete API documentation with examples	📖 API Docs
Architecture Guide	System design and architecture decisions	🏗️ Architecture
Deployment Guide	Production deployment instructions	🚀 Deployment
Development Guide	Local development setup and guidelines	💻 Development
DevOps Guide	CI/CD, monitoring, and operations	⚙️ DevOps
Security Guide	Security best practices and compliance	🔒 Security
Performance Guide	Optimization and scaling strategies	⚡ Performance
Data Lifecycle Guide	Data archival and compliance procedures	🗄️ Data Lifecycle
Troubleshooting	Common issues and solutions	🔧 Troubleshooting

🎓 Learning Resources

mindmap
  root((Redis Analytics Platform))
    Getting Started
      Quick Start Guide
      Docker Setup
      Local Development
      First API Call
    Architecture
      Microservices Design
      Redis Multi-Model
      Data Flow
      Security Model
    Advanced Topics
      Performance Tuning
      Scaling Strategies
      Monitoring Setup
      Custom Extensions
    Best Practices
      Code Standards
      Testing Strategy
      Security Guidelines
      Deployment Patterns

📋 API Documentation

# Interactive API documentation
open http://localhost:4000/graphql     # GraphQL Playground
open http://localhost:4000/docs        # Swagger/OpenAPI docs
open http://localhost:4000/redoc       # ReDoc documentation

# Generate API docs
npm run docs:generate
npm run docs:serve

☸️ Deployment

🚀 Production Deployment Options

graph TB
    subgraph "Cloud Providers"
        AWS[AWS EKS<br/>Elastic Kubernetes Service]
        GCP[Google GKE<br/>Google Kubernetes Engine]
        AZURE[Azure AKS<br/>Azure Kubernetes Service]
        DO[DigitalOcean<br/>Kubernetes]
    end

    subgraph "On-Premise"
        K8S[Kubernetes Cluster]
        DOCKER[Docker Swarm]
        COMPOSE[Docker Compose]
    end

    subgraph "Deployment Tools"
        HELM[Helm Charts]
        KUSTOMIZE[Kustomize]
        TERRAFORM[Terraform]
        ANSIBLE[Ansible]
    end

    AWS --> HELM
    GCP --> HELM
    AZURE --> HELM
    DO --> HELM
    K8S --> HELM
    DOCKER --> COMPOSE

    HELM --> TERRAFORM
    KUSTOMIZE --> TERRAFORM
    TERRAFORM --> ANSIBLE

📋 Pre-Production Checklist

• [ ] Security: All secrets updated from defaults
• [ ] TLS/SSL: Certificates configured and valid
• [ ] Monitoring: Prometheus and Grafana deployed
• [ ] Logging: Centralized logging configured
• [ ] Backup: Redis backup strategy implemented
• [ ] Scaling: HPA and VPA configured
• [ ] Testing: Load testing completed
• [ ] Documentation: Runbooks updated
• [ ] Alerts: Critical alerts configured
• [ ] DNS: Domain names configured

🔄 CI/CD Pipeline

# .github/workflows/ci-cd.yml
name: CI/CD Pipeline
on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main]

jobs:
  test:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        service: [api-gateway, auth-service, analytics-engine, ...]
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
      - run: npm ci && npm test

  security-scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: aquasecurity/trivy-action@master

  build-and-push:
    needs: [test, security-scan]
    runs-on: ubuntu-latest
    steps:
      - uses: docker/build-push-action@v5

  deploy-staging:
    needs: build-and-push
    if: github.ref == 'refs/heads/develop'
    runs-on: ubuntu-latest
    steps:
      - run: helm upgrade --install redis-analytics-staging

  deploy-production:
    needs: build-and-push
    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest
    environment: production
    steps:
      - run: helm upgrade --install redis-analytics

🤝 Contributing

🌟 How to Contribute

We welcome contributions! Here's how to get started:

1. Fork the Repository

   git clone https://github.com/your-username/redis-social-media-analytics.git
   cd redis-social-media-analytics

1. Create a Feature Branch

   git checkout -b feature/amazing-new-feature

1. Make Your Changes

   • Follow our coding standards
   • Add tests for new functionality
   • Update documentation as needed

2. Test Your Changes
   

   npm run test:all
   npm run lint:fix
   npm run type-check

1. Submit a Pull Request
   • Provide a clear description
   • Link related issues
   • Ensure CI passes

📋 Contribution Guidelines

• Code Style: ESLint + Prettier configuration
• Commit Messages: Conventional Commits format
• Testing: Maintain 80%+ test coverage
• Documentation: Update docs for new features
• Security: Follow security best practices

🏆 Contributors

Thanks to all our amazing contributors! 🎉

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Redis Team for the incredible Redis Stack
• Open Source Community for the amazing tools and libraries
• Contributors who made this project possible
• Early Adopters for valuable feedback and testing

🔗 Links & Resources

📚 Official Documentation

• Redis Stack Documentation
• RedisJSON Documentation
• RediSearch Documentation
• RedisTimeSeries Documentation
• RedisStreams Documentation

🛠️ Development Tools

• Redis Insight - Redis GUI
• Next.js Documentation
• TypeScript Handbook
• Kubernetes Documentation
• Docker Documentation

🎓 Learning Resources

• Redis University
• Redis Stack Tutorials
• Microservices Patterns
• Kubernetes Best Practices

🌐 Community

• Redis Community
• Redis Discord
• Stack Overflow
• GitHub Discussions

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