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@Creme-Dela-Creme

Creme Dela Creme

README.md

Creme Dela Creme

Project timeline and Requirements

Phase 1: Core Platform APIs

  • Movie/Series Inventory: Core APIs for fetching movies and series.
  • Customer Services: User management, profiles, preferences
  • API Gateway & Auth: Security foundation first to ensure all services have proper authentication
  • Actor/Actress Services: Core APIs for fetching actors and actresses.

Key Components:

  1. cdlc-inventory
  2. cdlc-actor
  3. cdlc-customer-services
  4. cdlc-configurations-server
  5. cdlc-gateway
  6. cdlc-authorization-server

Phase 2: Social Interactions & Discovery

  • Social Network Features: Lists, reviews, ratings, user connections
  • Recommendation Engine: Initial version based on user behaviour and preferences
  • Feeds & Content Discovery: Social activity feeds

Key Components:

  1. cdlc-feed
  2. cdlc-recommendation
  3. cdlc-analytics
  4. cdlc-datalake-workflows

Phase 3: Booking System

  • Theatre Booking Service: Seat selection, venue management
  • Order Management: Cart, checkout flows
  • Payment Processing: Payment gateway integration, subscription management

Key Components:

  • cdlc-booking
  • cdlc-order
  • cdlc-payment
  • cdlc-dispatched-service

Phase 4: Streaming Platform

  • Media Storage Services: Optimized image and video storage systems
  • Video Processing Pipeline: Transcoding, streaming, format optimization
  • Content Delivery Optimization: Caching, CDN integration

Key Components:

  • cdlc-metadata-storage (Golang)
  • cdlc-video-processors (C++/Golang)
  • Streaming infrastructure setup

Phase 5: Integration & Enhancement

  • Advanced Analytics & AI: Enhanced recommendation system with AI/ML
  • Platform Performance Optimization: Caching strategies, scalability testing
  • End-to-End Testing: Integration tests, performance benchmarks
  • Final Deployment: Production readiness review, launch preparation

Key Components:

  • cdlc-e2e (Selenium, JUnit5)
  • cdlc-deployment (Docker, K8s)

Architecture

Database Strategy

Tiered Database Approach:

  1. OLTP Layer: MySQL for transactional data (users, orders, bookings)
  2. Caching Layer: Redis for frequently accessed data and sessions
  3. NoSQL Layer: ScyllaDB for high-throughput use cases (streaming metadata)
  4. OLAP Layer: Add a proper analytical database (consider ClickHouse or BigQuery)
  5. Graph Layer: Neo4j for social relationships

Data Flow Optimization:

  1. Implement CDC (Change Data Capture) from OLTP to OLAP
  2. Use Kafka as the backbone for event-driven architecture
  3. Develop data pipelines for analytics to reduce load on operational systems

Service Boundary Recommendations

Bounded Contexts:

  1. Content Domain: Movies, series, actors (content metadata)
  2. User Domain: Profiles, preferences, social interactions
  3. Commerce Domain: Bookings, orders, payments
  4. Streaming Domain: Media processing, streaming, consumption analytics

API Design:

  1. REST for standard CRUD operations
  2. GraphQL for social features (better fits complex relationships)
  3. gRPC for high-performance internal service communication

Technical Optimizations

Performance Considerations:

  1. Implement read replicas for high-traffic services
  2. Use CQRS pattern to separate read and write operations
  3. Deploy CDN for static assets and streaming content

Scalability Strategy:

  1. Design horizontal scaling for all services
  2. Implement proper sharding strategy for databases
  3. Use autoscaling based on traffic patterns

Resilience Patterns:

  1. Circuit breakers between services
  2. Retry mechanisms with exponential backoff
  3. Proper fallback mechanisms for critical services

Key Risks & Mitigations

Integration Complexity:

  • Risk: Many services with complex interactions
  • Mitigation: Clear API contracts, comprehensive integration tests, service mesh

Streaming Performance:

  • Risk: High demands on video processing
  • Mitigation: Early load testing, C++ optimization for critical paths, CDN integration

Data Consistency:

  • Risk: Distributed data across multiple databases
  • Mitigation: Event sourcing pattern, saga pattern for distributed transactions

Development Timeline:

  • Risk: Ambitious schedule with dependencies
  • Mitigation: Modular approach allowing parallel development, clear MVP definition

Popular repositories Loading

  1. cdlc-ui cdlc-ui Public

    Streaming websites made of React,TypeScript, CharkaUI, Vite, and IMDB API. Hosted by Firebase

    TypeScript

  2. .github .github Public

Repositories

Showing 2 of 2 repositories
  • .github Public
    Creme-Dela-Creme/.github’s past year of commit activity
    0 0 0 0 Updated Mar 10, 2025
  • cdlc-ui Public

    Streaming websites made of React,TypeScript, CharkaUI, Vite, and IMDB API. Hosted by Firebase

    Creme-Dela-Creme/cdlc-ui’s past year of commit activity
    TypeScript 0 0 0 0 Updated May 10, 2023

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