{"id":29811669,"url":"https://github.com/ericgitangu/uber-system-design","last_synced_at":"2026-02-06T21:01:26.192Z","repository":{"id":299221300,"uuid":"1002373087","full_name":"ericgitangu/uber-system-design","owner":"ericgitangu","description":"Analysis of Ubers System Design - For learning purposes","archived":false,"fork":false,"pushed_at":"2025-06-15T13:05:54.000Z","size":67,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-07-28T17:14:21.105Z","etag":null,"topics":["cicd","iac","k6","k8s","qa","qa-automation","system-design","terraform"],"latest_commit_sha":null,"homepage":"https://developer.ericgitangu.com","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ericgitangu.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-06-15T10:33:30.000Z","updated_at":"2025-06-16T04:56:22.000Z","dependencies_parsed_at":"2025-06-15T12:43:52.677Z","dependency_job_id":null,"html_url":"https://github.com/ericgitangu/uber-system-design","commit_stats":null,"previous_names":["ericgitangu/uber-system-design"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ericgitangu/uber-system-design","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ericgitangu%2Fuber-system-design","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ericgitangu%2Fuber-system-design/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ericgitangu%2Fuber-system-design/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ericgitangu%2Fuber-system-design/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ericgitangu","download_url":"https://codeload.github.com/ericgitangu/uber-system-design/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ericgitangu%2Fuber-system-design/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29175822,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-06T20:14:21.878Z","status":"ssl_error","status_checked_at":"2026-02-06T20:14:21.443Z","response_time":59,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cicd","iac","k6","k8s","qa","qa-automation","system-design","terraform"],"created_at":"2025-07-28T17:09:25.505Z","updated_at":"2026-02-06T21:01:26.171Z","avatar_url":"https://github.com/ericgitangu.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Enterprise System Architecture - Ride-Sharing Platform 🚗\n\n[![License](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)\n[![Kubernetes](https://img.shields.io/badge/Kubernetes-1.28+-blue.svg)](https://kubernetes.io/)\n[![Terraform](https://img.shields.io/badge/Terraform-1.5+-purple.svg)](https://terraform.io/)\n\n\u003e A comprehensive, production-grade system architecture blueprint for ride-sharing platforms, demonstrating enterprise-scale infrastructure patterns, microservices design, and cloud-native technologies using Uber as a reference implementation.\n\n## 📋 Table of Contents\n\n- [Overview](#overview)\n- [Architecture](#architecture)\n- [Quick Start](#quick-start)\n- [Infrastructure](#infrastructure)\n- [Services](#services)\n- [Development](#development)\n- [Testing](#testing)\n- [Deployment](#deployment)\n- [Monitoring](#monitoring)\n- [Security](#security)\n- [Performance](#performance)\n- [Disaster Recovery](#disaster-recovery)\n- [Contributing](#contributing)\n\n## 🏗️ Overview\n\nThis repository contains a complete implementation of an enterprise-grade system architecture for ride-sharing platforms, using Uber's design patterns as a reference case study. The architecture demonstrates modern cloud-native technologies, microservices patterns, and production-ready infrastructure suitable for high-scale platforms.\n\n### Key Features\n\n- 🚀 **Microservices Architecture**: Scalable, independent services\n- ☁️ **Multi-Cloud Ready**: AWS, GCP, Oracle Cloud support\n- 🔄 **Event-Driven**: Kafka-based real-time data processing\n- 📊 **Big Data Analytics**: Hadoop, Spark, Hive integration\n- 🔐 **Enterprise Security**: Zero-trust, encryption, compliance\n- 📱 **Multi-Platform**: Web, mobile, admin interfaces\n- 🎯 **Production-Ready**: Comprehensive monitoring, logging, alerting\n- 🔧 **GitOps**: Infrastructure and application automation\n\n### System Capabilities\n\n- **Real-time Ride Matching**: Sub-second driver-rider pairing\n- **Dynamic Pricing**: Surge pricing based on demand\n- **Route Optimization**: ML-powered path planning\n- **Payment Processing**: Multi-gateway payment support\n- **Global Scale**: Multi-region deployment\n- **High Availability**: 99.99% uptime SLA\n\n## 🏛️ Architecture\n\n### System Overview\n\n```mermaid\ngraph TB\n    subgraph \"Client Layer\"\n        WEB[Web App]\n        MOBILE[Mobile Apps]\n        ADMIN[Admin Dashboard]\n    end\n    \n    subgraph \"API Gateway\"\n        LB[Load Balancer]\n        API[API Gateway]\n    end\n    \n    subgraph \"Microservices\"\n        USER[User Service]\n        DRIVER[Driver Service]\n        TRIP[Trip Service]\n        PAYMENT[Payment Service]\n    end\n    \n    subgraph \"Data Layer\"\n        CACHE[Redis Cache]\n        DB[(PostgreSQL)]\n        NOSQL[(Cassandra)]\n    end\n    \n    WEB --\u003e LB\n    MOBILE --\u003e LB\n    ADMIN --\u003e LB\n    LB --\u003e API\n    API --\u003e USER\n    API --\u003e DRIVER\n    API --\u003e TRIP\n    API --\u003e PAYMENT\n    USER --\u003e CACHE\n    USER --\u003e DB\n    TRIP --\u003e NOSQL\n```\n\n### Technology Stack\n\n| Component | Technology | Purpose | Language |\n|-----------|------------|---------|----------|\n| **Container Orchestration** | Kubernetes | Service deployment and scaling | YAML |\n| **Service Mesh** | Istio | Inter-service communication | YAML |\n| **API Gateway** | Kong/Envoy/Traefik | Request routing and rate limiting | Config |\n| **Databases** | PostgreSQL, Cassandra, Redis | Data persistence and caching | SQL/CQL |\n| **Message Streaming** | Apache Kafka | Event processing | Java/Scala |\n| **Monitoring** | Prometheus + Grafana | Observability | PromQL |\n| **Tracing** | Jaeger + OpenTelemetry | Distributed tracing | Multi-lang |\n| **Logging** | ELK Stack | Log aggregation | Multi-lang |\n| **CI/CD** | GitHub Actions + ArgoCD | Deployment automation | YAML |\n| **Infrastructure** | Terraform | Infrastructure as Code | HCL |\n| **Security** | HashiCorp Vault + OPA | Secrets \u0026 Policy | HCL/Rego |\n\n## 🚀 Quick Start\n\n### Prerequisites\n\n- Docker \u0026 Docker Compose\n- Kubernetes cluster (local or cloud)\n- Terraform \u003e= 1.5\n- kubectl\n- Helm \u003e= 3.0\n- Yarn \u003e= 4.0\n- Node.js \u003e= 18\n- Python \u003e= 3.9\n- Go \u003e= 1.21\n- Java \u003e= 17\n\n### Local Development Setup\n\n1. **Clone the repository**\n   ```bash\n   git clone https://github.com/ericgitangu/enterprise-system-architecture.git\n   cd enterprise-system-architecture\n   ```\n\n2. **Start local development environment**\n   ```bash\n   # Start infrastructure services\n   docker-compose -f docker-compose.dev.yml up -d\n   \n   # Install dependencies\n   yarn install              # Node.js services\n   pip install -r requirements.txt  # Python services\n   go mod download           # Go services\n   mvn install              # Java services\n   \n   # Start development servers\n   yarn dev\n   ```\n\n3. **Verify setup**\n   ```bash\n   # Check service health\n   curl http://localhost:8080/health\n   \n   # Run tests\n   yarn test\n   ```\n\n### Cloud Deployment\n\n1. **Configure cloud credentials**\n   ```bash\n   # AWS\n   export AWS_ACCESS_KEY_ID=your-key\n   export AWS_SECRET_ACCESS_KEY=your-secret\n   export AWS_REGION=us-west-2\n   ```\n\n2. **Deploy infrastructure**\n   ```bash\n   cd terraform/environments/production\n   terraform init\n   terraform plan\n   terraform apply\n   ```\n\n3. **Deploy applications**\n   ```bash\n   # Connect to cluster\n   aws eks update-kubeconfig --name production-eks-cluster\n   \n   # Deploy with ArgoCD\n   kubectl apply -f gitops/applications/\n   ```\n\n## 🏗️ Infrastructure\n\n### Directory Structure\n\n```\nterraform/\n├── modules/\n│   ├── networking/          # VPC, subnets, security groups\n│   ├── compute/            # EKS, EC2, Lambda\n│   ├── data/               # RDS, ElastiCache, DocumentDB\n│   ├── security/           # IAM, secrets, certificates\n│   └── monitoring/         # CloudWatch, Prometheus\n├── environments/\n│   ├── dev/               # Development environment\n│   ├── staging/           # Staging environment\n│   └── production/        # Production environment\n└── shared/                # Shared configurations\n```\n\n### Supported Environments\n\n| Environment | Purpose | Resources | Auto-scaling |\n|-------------|---------|-----------|--------------|\n| **Development** | Feature development | Minimal | Manual |\n| **Staging** | Testing \u0026 QA | Production-like | Limited |\n| **Production** | Live traffic | Full scale | Auto |\n\n## 🔧 Services\n\n### Core Microservices\n\n#### User Service (Go)\n```yaml\nTechnology: Go + Gin + GORM\nDatabase: PostgreSQL\nResponsibilities:\n  - User registration and authentication\n  - Profile management\n  - Preferences and settings\n  \nAPI Endpoints:\n  - POST /api/users          # Create user\n  - GET /api/users/{id}      # Get user profile\n  - PUT /api/users/{id}      # Update profile\n  - DELETE /api/users/{id}   # Deactivate account\n\nTesting:\n  - Unit: Testify + Gomock\n  - Integration: Go HTTP tests\n  - Load: K6 + Vegeta\n```\n\n#### Driver Service (Java)\n```yaml\nTechnology: Spring Boot + JPA\nDatabase: PostgreSQL + Redis\nResponsibilities:\n  - Driver onboarding\n  - Document verification\n  - Availability tracking\n  - Performance metrics\n  \nAPI Endpoints:\n  - POST /api/drivers        # Register driver\n  - GET /api/drivers/{id}    # Get driver info\n  - PUT /api/drivers/{id}/status  # Update availability\n  - GET /api/drivers/nearby  # Find nearby drivers\n\nTesting:\n  - Unit: JUnit 5 + Mockito\n  - Integration: TestContainers\n  - Performance: JMeter\n```\n\n#### Trip Service (Node.js)\n```yaml\nTechnology: Node.js + Express + TypeScript\nDatabase: Cassandra + Redis\nResponsibilities:\n  - Trip lifecycle management\n  - Route optimization\n  - ETA calculations\n  - Trip history\n  \nAPI Endpoints:\n  - POST /api/trips          # Request trip\n  - GET /api/trips/{id}      # Get trip details\n  - PUT /api/trips/{id}/status    # Update trip status\n  - GET /api/trips/history   # Trip history\n\nTesting:\n  - Unit: Jest + Supertest\n  - Integration: Jest + TestContainers\n  - E2E: Playwright\n```\n\n#### Payment Service (Python)\n```yaml\nTechnology: FastAPI + SQLAlchemy + Celery\nDatabase: PostgreSQL + Redis\nResponsibilities:\n  - Payment processing\n  - Multiple payment methods\n  - Fraud detection\n  - Financial reporting\n  \nAPI Endpoints:\n  - POST /api/payments       # Process payment\n  - GET /api/payments/{id}   # Payment details\n  - POST /api/payments/refund     # Refund payment\n  - GET /api/payments/methods     # Payment methods\n\nTesting:\n  - Unit: pytest + pytest-mock\n  - Integration: pytest + httpx\n  - Load: Locust\n```\n\n### Service Communication\n\n```mermaid\ngraph LR\n    A[API Gateway] --\u003e B[User Service - Go]\n    A --\u003e C[Driver Service - Java]\n    A --\u003e D[Trip Service - Node.js]\n    A --\u003e E[Payment Service - Python]\n    \n    D --\u003e F[Kafka: Trip Events]\n    E --\u003e F\n    B --\u003e F\n    C --\u003e F\n    \n    F --\u003e G[Analytics Pipeline - Spark/Scala]\n    F --\u003e H[Notification Service - Go]\n    F --\u003e I[ML Pipeline - Python]\n```\n\n## 💻 Development\n\n### Development Workflow\n\n1. **Feature Development**\n   ```bash\n   # Create feature branch\n   git checkout -b feature/user-verification\n   \n   # Install dependencies per language\n   yarn install              # Node.js/TypeScript\n   go mod tidy               # Go\n   pip install -r requirements.txt  # Python\n   mvn install               # Java\n   \n   # Make changes and test\n   yarn test                 # Node.js\n   go test ./...             # Go\n   pytest                    # Python\n   mvn test                  # Java\n   \n   # Commit and push\n   git commit -m \"feat: add user verification\"\n   git push origin feature/user-verification\n   ```\n\n2. **Code Quality Checks**\n   ```bash\n   # Node.js/TypeScript\n   yarn lint                 # ESLint\n   yarn format               # Prettier\n   yarn type-check           # TypeScript\n   \n   # Go\n   golangci-lint run         # Linting\n   go fmt ./...              # Formatting\n   go vet ./...              # Static analysis\n   \n   # Python\n   flake8 .                  # Linting\n   black .                   # Formatting\n   mypy .                    # Type checking\n   bandit -r .               # Security analysis\n   \n   # Java\n   mvn spotbugs:check        # Static analysis\n   mvn pmd:check             # Code quality\n   ```\n\n### Code Standards\n\n| Language | Framework | Style Guide | Testing | Documentation |\n|----------|-----------|-------------|---------|---------------|\n| **TypeScript/Node.js** | Express/Fastify | ESLint + Prettier | Jest + Supertest | TSDoc |\n| **Go** | Gin/Echo | gofmt + golangci-lint | Testify + Gomock | godoc |\n| **Python** | FastAPI/Django | Black + flake8 | pytest + pytest-mock | Sphinx |\n| **Java** | Spring Boot | Google Java Style | JUnit 5 + Mockito | Javadoc |\n\n### Environment Variables\n\n```bash\n# Application (Language Agnostic)\nENVIRONMENT=development\nLOG_LEVEL=debug\nSERVICE_NAME=user-service\nSERVICE_VERSION=1.0.0\n\n# Database\nDATABASE_URL=postgresql://user:pass@localhost:5432/rideshare_dev\nREDIS_URL=redis://localhost:6379\nCASSANDRA_HOSTS=localhost:9042\n\n# Message Streaming\nKAFKA_BROKERS=localhost:9092\nKAFKA_TOPIC_PREFIX=rideshare\n\n# Observability\nJAEGER_ENDPOINT=http://localhost:14268/api/traces\nPROMETHEUS_ENDPOINT=http://localhost:9090\n\n# Security\nJWT_SECRET=your-jwt-secret\nVAULT_ADDR=http://localhost:8200\nVAULT_TOKEN=your-vault-token\n```\n\n## 🧪 Testing\n\n### Testing Strategy\n\n```\nTesting Pyramid (Multi-Language):\n├── Unit Tests (70%)        # Fast, isolated component tests\n├── Integration Tests (20%) # Service interaction tests  \n├── Contract Tests (5%)     # API contract validation\n├── E2E Tests (3%)         # Full user journey tests\n└── Performance Tests (2%) # Load and stress tests\n```\n\n### Testing Tools by Language\n\n#### Node.js/TypeScript Testing\n```bash\n# Unit testing with Jest\nyarn test:unit                 # All unit tests\nyarn test:unit:watch          # Watch mode\nyarn test:unit:coverage       # With coverage report\n\n# Integration testing  \nyarn test:integration         # Database and API integration\n\n# E2E testing with Playwright\nyarn test:e2e                 # All E2E tests\n\n# Performance testing\nyarn test:performance         # Load testing with K6\n```\n\n#### Go Testing\n```bash\n# Unit testing\ngo test ./...                        # All packages\ngo test -race ./...                  # Race condition detection\ngo test -cover ./...                 # Coverage analysis\n\n# Integration testing\ngo test -tags=integration ./...      # Integration tests\n\n# Benchmark testing\ngo test -bench=. ./...               # Benchmark tests\n```\n\n#### Python Testing\n```bash\n# Unit testing with pytest\npytest tests/unit/                   # Unit tests\npytest tests/unit/ --cov=src        # With coverage\n\n# Integration testing\npytest tests/integration/           # Integration tests\n\n# Performance testing\npytest tests/performance/ --benchmark-only\n```\n\n#### Java Testing\n```bash\n# Maven testing\nmvn test                           # Unit tests\nmvn integration-test              # Integration tests  \nmvn verify                        # All tests + verification\n\n# Coverage with JaCoCo\nmvn jacoco:prepare-agent test jacoco:report\n```\n\n### Performance Testing\n\n#### Load Testing (Expected Performance Verification)\n```bash\n# K6 Load Testing - Verify system handles expected traffic\nk6 run --vus 100 --duration 30m tests/performance/load-testing/main.js\n\n# Objectives:\n# - Validate performance under expected load (100-500 concurrent users)\n# - Verify SLA compliance (p95 \u003c 1.5s, p99 \u003c 3s)\n# - Confirm system stability over extended periods\n```\n\n#### Stress Testing (Breaking Point Analysis)\n```bash\n# K6 Stress Testing - Find system limits\nk6 run tests/performance/stress-testing/stress.js\n\n# Objectives:\n# - Determine maximum system capacity (breaking point)\n# - Observe system behavior under extreme load\n# - Validate graceful degradation mechanisms\n```\n\n#### Chaos Engineering\n```bash\n# Chaos Monkey for Kubernetes\nkubectl apply -f tests/chaos/chaos-monkey-deployment.yml\n\n# Custom chaos testing scenarios:\nyarn test:chaos:network         # Network partition simulation\nyarn test:chaos:cpu            # CPU exhaustion scenarios  \nyarn test:chaos:memory         # Memory pressure testing\n```\n\n## 🚀 Deployment\n\n### CI/CD Pipeline\n\n```yaml\nStages:\n  1. Code Quality       # Linting, formatting, security\n  2. Testing           # Unit, integration, security tests\n  3. Build             # Docker image creation\n  4. Deploy to Staging # Automated deployment\n  5. E2E Testing       # Full system validation  \n  6. Deploy to Prod    # Manual approval required\n  7. Smoke Tests       # Production health checks\n```\n\n### Deployment Strategies\n\n#### Blue-Green Deployment\n```bash\n# Deploy new version (green)\nkubectl set image deployment/user-service user-service=new-image:v2.0.0\n\n# Verify deployment\nkubectl rollout status deployment/user-service\n\n# Switch traffic (if successful)\nkubectl patch service user-service -p '{\"spec\":{\"selector\":{\"version\":\"v2.0.0\"}}}'\n```\n\n#### Canary Deployment\n```yaml\n# 10% traffic to new version\napiVersion: argoproj.io/v1alpha1\nkind: Rollout\nspec:\n  strategy:\n    canary:\n      steps:\n      - setWeight: 10\n      - pause: {duration: 10m}\n      - setWeight: 50\n      - pause: {duration: 10m}\n      - setWeight: 100\n```\n\n### GitOps Workflow\n\n```mermaid\ngraph LR\n    A[Code Push] --\u003e B[CI Pipeline]\n    B --\u003e C[Build \u0026 Test]\n    C --\u003e D[Update Manifests]\n    D --\u003e E[ArgoCD Sync]\n    E --\u003e F[Deploy to K8s]\n    F --\u003e G[Health Checks]\n```\n\n## 📊 Monitoring \u0026 Observability\n\n### Comprehensive Observability Stack\n\n| Component | Tool | Purpose | Language Support |\n|-----------|------|---------|------------------|\n| **Metrics** | Prometheus + Grafana | Time-series metrics | All |\n| **Tracing** | Jaeger + OpenTelemetry | Distributed tracing | All |\n| **Logging** | ELK Stack + Fluentd | Log aggregation | All |\n| **APM** | Datadog/New Relic | Application performance | All |\n| **Uptime** | Pingdom/Uptime Robot | Synthetic monitoring | HTTP/API |\n\n### Performance Targets \u0026 SLAs\n\n| Metric | Target | Monitoring | Alerting Threshold |\n|--------|--------|------------|-------------------|\n| **API Response Time (p95)** | \u003c 500ms | Prometheus + Grafana | \u003e 750ms |\n| **API Response Time (p99)** | \u003c 1.5s | Distributed tracing | \u003e 2s |\n| **Database Query Time (p95)** | \u003c 100ms | PostgreSQL metrics | \u003e 200ms |\n| **Cache Hit Ratio** | \u003e 85% | Redis metrics | \u003c 75% |\n| **Throughput** | \u003e 10,000 RPS | Load balancer metrics | \u003c 8,000 RPS |\n| **Error Rate** | \u003c 0.1% | Application logs | \u003e 0.5% |\n| **Availability** | 99.99% | Synthetic monitoring | \u003c 99.9% |\n\n### Application-Level Observability\n\n```yaml\nCustom Business Metrics:\n├── Ride requests per minute: Counter\n├── Driver utilization rate: Gauge  \n├── Payment success rate: Histogram\n├── User session duration: Summary\n└── Revenue per ride: Custom metric\n\nSLA/SLI Monitoring:\n├── API latency percentiles (p50, p95, p99)\n├── Error rate budgets (99.9% availability)\n├── Throughput measurements (requests/second)\n└── Dependency availability tracking\n```\n\n### Health Checks and Synthetic Monitoring\n\n#### Universal Health Check Pattern\n```yaml\nendpoints:\n  - path: /health\n    method: GET\n    response:\n      status: 200\n      content-type: application/json\n      schema:\n        type: object\n        properties:\n          status:\n            type: string\n            enum: [\"healthy\", \"degraded\", \"unhealthy\"]\n          timestamp: { type: string, format: date-time }\n          version: { type: string }\n          checks:\n            type: object\n            properties:\n              database: { type: object }\n              cache: { type: object }\n              external_apis: { type: array }\n          uptime_seconds: { type: number }\n```\n\n## 🔐 Security\n\n### Security Framework\n\n```yaml\nSecurity Layers:\n  1. Network Security    # VPC, Security Groups, NACLs\n  2. Identity \u0026 Access   # IAM, RBAC, MFA\n  3. Application Security # Authentication, Authorization\n  4. Data Protection     # Encryption, Key Management\n  5. Monitoring \u0026 Audit  # Security logs, Compliance\n```\n\n### Zero Trust Architecture\n```yaml\nZero Trust Principles:\n├── Network Segmentation\n│   ├── Micro-segmentation with Istio service mesh\n│   ├── Network policies for pod-to-pod communication\n│   ├── Private subnets for all backend services\n│   └── WAF and DDoS protection at ingress\n├── Identity Verification\n│   ├── Multi-factor authentication for all users\n│   ├── Certificate-based service authentication\n│   ├── Short-lived tokens with automatic rotation\n│   └── Continuous identity validation\n├── Device Security\n│   ├── Device registration and compliance checking\n│   ├── Mobile application certificate pinning\n│   ├── Jailbreak/root detection\n│   └── Remote device management capabilities\n└── Data Classification\n    ├── PII data encryption at rest and in transit\n    ├── Data loss prevention (DLP) policies\n    ├── Geographic data residency compliance\n    └── Automated data discovery and classification\n```\n\n### Security Implementation\n\n#### Authentication \u0026 Authorization (Go Example)\n```go\ntype Claims struct {\n    UserID    string   `json:\"user_id\"`\n    Email     string   `json:\"email\"`\n    Roles     []string `json:\"roles\"`\n    Scope     []string `json:\"scope\"`\n    SessionID string   `json:\"session_id\"`\n    jwt.RegisteredClaims\n}\n\n// Role-Based Access Control\nvar RoleDefinitions = map[string]Role{\n    \"rider\": {\n        Name: \"rider\",\n        Permissions: []Permission{\n            {Resource: \"trips\", Action: \"create\", Scope: \"own\"},\n            {Resource: \"trips\", Action: \"read\", Scope: \"own\"},\n            {Resource: \"payments\", Action: \"create\", Scope: \"own\"},\n        },\n    },\n    \"driver\": {\n        Name: \"driver\",\n        Permissions: []Permission{\n            {Resource: \"trips\", Action: \"read\", Scope: \"assigned\"},\n            {Resource: \"trips\", Action: \"update\", Scope: \"assigned\"},\n            {Resource: \"earnings\", Action: \"read\", Scope: \"own\"},\n        },\n    },\n    \"admin\": {\n        Name: \"admin\",\n        Permissions: []Permission{\n            {Resource: \"*\", Action: \"*\", Scope: \"*\"},\n        },\n    },\n}\n```\n\n#### Data Encryption (TypeScript Example)\n```typescript\nclass DataEncryption {\n    private readonly algorithm = 'aes-256-gcm';\n    \n    encryptPII(data: string, additionalData?: string): EncryptionResult {\n        const iv = crypto.randomBytes(16);\n        const cipher = crypto.createCipher(this.algorithm, key, iv);\n        \n        if (additionalData) {\n            cipher.setAAD(Buffer.from(additionalData));\n        }\n        \n        let encrypted = cipher.update(data, 'utf8', 'hex');\n        encrypted += cipher.final('hex');\n        const authTag = cipher.getAuthTag();\n        \n        return {\n            encrypted,\n            iv: iv.toString('hex'),\n            authTag: authTag.toString('hex'),\n            keyId: 'current'\n        };\n    }\n}\n```\n\n### Security Scanning Pipeline\n```yaml\nsecurity-pipeline:\n  dependency-scanning:\n    - npm audit (Node.js)\n    - safety check (Python) \n    - nancy (Go)\n    - OWASP Dependency Check (Java)\n  \n  container-scanning:\n    - Trivy image scan\n    - Docker Scout CVE scan\n  \n  static-code-analysis:\n    - CodeQL Analysis\n    - SonarQube Scan\n    - Semgrep SAST\n  \n  infrastructure-scanning:\n    - Checkov (Terraform)\n    - kube-score (Kubernetes)\n    - Terrascan (IaC)\n```\n\n### Compliance Implementation\n\n#### GDPR Compliance\n```python\nclass GDPRCompliance:\n    async def handle_data_subject_request(self, request_type: str, user_id: str):\n        if request_type == \"access\":\n            return await self.export_user_data(user_id)\n        elif request_type == \"deletion\":\n            return await self.delete_user_data(user_id)\n        elif request_type == \"rectification\":\n            return await self.update_user_data(user_id)\n        elif request_type == \"portability\":\n            return await self.export_portable_data(user_id)\n```\n\n#### PCI DSS Compliance\n```python\nclass PCIDSSCompliance:\n    def tokenize_card_data(self, card_number: str, user_id: str) -\u003e str:\n        # Generate secure token\n        token = self.generate_secure_token()\n        \n        # Store mapping in secure vault (not in application database)\n        self.vault.store_card_mapping(token, card_number, user_id)\n        \n        return token\n```\n\n## ⚡ Performance\n\n### Performance Engineering Framework\n\n```yaml\nPerformance Strategy:\n├── Application Performance\n│   ├── Code optimization and profiling\n│   ├── Algorithm efficiency improvements\n│   ├── Memory management and GC tuning\n│   └── Asynchronous processing patterns\n├── Database Performance\n│   ├── Query optimization and indexing\n│   ├── Connection pooling and caching\n│   ├── Read replicas and sharding\n│   └── Automated performance monitoring\n├── Infrastructure Performance\n│   ├── Auto-scaling policies\n│   ├── Load balancing and traffic distribution\n│   ├── CDN and edge computing optimization\n│   └── Network latency reduction\n└── Monitoring \u0026 Optimization\n    ├── Real-time performance metrics\n    ├── Performance regression detection\n    ├── Capacity planning and forecasting\n    └── Continuous performance testing\n```\n\n### Performance Optimization Examples\n\n#### Go Service Performance\n```go\n// Memory pool for frequent allocations\nvar requestPool = sync.Pool{\n    New: func() interface{} {\n        return \u0026RequestContext{\n            Data: make(map[string]interface{}, 10),\n        }\n    },\n}\n\n// Optimized middleware with object pooling\nfunc PerformanceMiddleware() gin.HandlerFunc {\n    return gin.HandlerFunc(func(c *gin.Context) {\n        // Get context from pool\n        reqCtx := requestPool.Get().(*RequestContext)\n        defer func() {\n            reqCtx.Reset()\n            requestPool.Put(reqCtx)\n        }()\n        \n        c.Next()\n    })\n}\n\n// Connection pool optimization\nfunc OptimizeDatabasePool(db *sql.DB) {\n    db.SetMaxOpenConns(100)        // Maximum active connections\n    db.SetMaxIdleConns(25)         // Keep 25 idle connections\n    db.SetConnMaxLifetime(5 * time.Minute)\n}\n```\n\n#### Node.js Cluster Setup\n```typescript\n// Cluster setup for multi-core utilization\nexport function setupCluster(): void {\n    const numCPUs = os.cpus().length;\n    \n    if (cluster.isMaster) {\n        console.log(`Master ${process.pid} is running`);\n        \n        // Fork workers\n        for (let i = 0; i \u003c numCPUs; i++) {\n            cluster.fork();\n        }\n        \n        cluster.on('exit', (worker) =\u003e {\n            console.log(`Worker ${worker.process.pid} died`);\n            cluster.fork();\n        });\n    } else {\n        // Worker processes\n        startServer();\n    }\n}\n```\n\n## 🔄 Disaster Recovery\n\n### Disaster Recovery Strategy\n\n```yaml\nDR Components:\n├── Backup Strategy\n│   ├── Automated daily database backups\n│   ├── Point-in-time recovery capabilities\n│   ├── Cross-region backup replication\n│   └── Application state snapshots\n├── High Availability\n│   ├── Multi-region deployment\n│   ├── Auto-failover mechanisms\n│   ├── Load balancer health checks\n│   └── Database clustering\n├── Recovery Procedures\n│   ├── RTO: 4 hours (Recovery Time Objective)\n│   ├── RPO: 1 hour (Recovery Point Objective)\n│   ├── Automated failover scripts\n│   └── Manual recovery runbooks\n└── Testing \u0026 Validation\n    ├── Monthly DR testing\n    ├── Chaos engineering\n    ├── Backup restoration testing\n    └── Business continuity exercises\n```\n\n### Multi-Region Setup\n```yaml\n# terraform/multi-region.tf\nprovider \"aws\" {\n  alias  = \"primary\"\n  region = \"us-west-2\"\n}\n\nprovider \"aws\" {\n  alias  = \"secondary\"\n  region = \"us-east-1\"\n}\n\n# Primary region resources\nmodule \"primary_infrastructure\" {\n  source = \"./modules/infrastructure\"\n  providers = {\n    aws = aws.primary\n  }\n  region = \"us-west-2\"\n  environment = \"production\"\n}\n\n# Secondary region resources\nmodule \"secondary_infrastructure\" {\n  source = \"./modules/infrastructure\"\n  providers = {\n    aws = aws.secondary\n  }\n  region = \"us-east-1\"\n  environment = \"production-dr\"\n}\n```\n\n## 🤝 Contributing\n\n### Development Process\n\n1. **Fork the repository**\n2. **Create a feature branch**: `git checkout -b feature/amazing-feature`\n3. **Follow coding standards** for each language\n4. **Write comprehensive tests**\n5. **Run security scans**: `yarn security-scan`\n6. **Update documentation** if needed\n7. **Submit a pull request**\n\n### Code Review Guidelines\n\n- **Security**: All PRs must pass security scans\n- **Testing**: Minimum 80% code coverage required\n- **Performance**: No performance regressions allowed\n- **Documentation**: Update relevant docs for new features\n\n### Release Process\n\n1. **Version bumping**: Follow semantic versioning\n2. **Changelog updates**: Document all changes\n3. **Security review**: Additional security review for major releases\n4. **Staging deployment**: Test in staging environment\n5. **Production rollout**: Gradual canary deployment\n\n---\n\n## 📚 Additional Resources\n\n- [API Documentation](docs/api.md)\n- [Deployment Guide](docs/deployment.md)\n- [Security Best Practices](docs/security.md)\n- [Performance Tuning Guide](docs/performance.md)\n- [Troubleshooting Guide](docs/troubleshooting.md)\n\n## 📄 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n---\n\n**Built with ❤️ for enterprise-scale ride-sharing platforms**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fericgitangu%2Fuber-system-design","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fericgitangu%2Fuber-system-design","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fericgitangu%2Fuber-system-design/lists"}