Course Content
Data Structures & Algorithms
Low Level System Design
LLD Topics
High Level Design
DSA, High & Low Level System Designs
About Lesson
1. Core Components of the System:

User Management

 

  • Purpose: Allows users to sign up, log in, manage their profiles, and make subscription purchases (if applicable).

 

  • Key Features:
      • User authentication (e.g., login, sign-up)

      • User profiles and preferences (e.g., favorite genres, watch history)

      • User subscriptions (premium or basic tiers)

 

Video Storage and Content Management

 

  • Purpose: Manages video content, including uploading, transcoding, metadata storage, and categorization.

 

  • Key Features:
      • Video uploading (user-generated content or studio content)

      • Metadata storage (e.g., titles, descriptions, genres, release dates)

      • Video categorization (e.g., genres like Action, Comedy, Drama)

      • Content rating (e.g., user reviews and ratings)

 

Video Streaming

 

  • Purpose: Delivers video content to users in an optimized and efficient manner.

 

  • Key Features:
      • Adaptive bitrate streaming (e.g., 720p, 1080p, 4K)

      • Content Delivery Networks (CDN) to serve content from geographically distributed servers

      • Video buffering and caching mechanisms

 

Search and Discovery

  • Purpose: Helps users find content through searches, recommendations, and browsing.

 

  • Key Features:
      • Search functionality (e.g., title search, genre search)

      • Personalized recommendations (e.g., based on watch history, ratings, or preferences)

      • Trending content and editor’s picks

 

Playback and User Interaction

 

  • Purpose: Handles video playback and user interaction with the content.

 

  • Key Features:
      • Video player controls (play, pause, rewind, forward)

      • Interactive features (e.g., likes, shares, comments)

      • Track video playback history for personalized recommendations

 

Analytics and Reporting

 

  • Purpose: Monitors user activity, video performance, and platform engagement.

 

  • Key Features:
      • View statistics (e.g., number of views, watch time)

      • User engagement metrics (e.g., likes, comments, shares)

      • Reporting dashboards for content creators or platform administrators

 

Content Protection & DRM

 

  • Purpose: Protects content from piracy and unauthorized distribution.

 

  • Key Features:
      • Digital Rights Management (DRM) to prevent video content from being downloaded or pirated

      • Secure streaming protocols (e.g., SSL/TLS)

      • Encrypted video storage



2. Architectural Components:

Load Balancer

 

  • Purpose: Ensures high availability by distributing incoming user traffic across multiple servers.

 

  • Key Features:
      • Horizontal scaling of servers

      • Automatic failover in case of server failure

      • Load balancing algorithms (e.g., round-robin, least connections)

 

Content Delivery Network (CDN)

 

  • Purpose: Improves video streaming performance by caching content on servers that are geographically closer to users.

 

  • Key Features:
      • Edge servers to cache and serve video content

      • Faster video delivery by reducing latency

      • Scalable architecture to serve a large number of concurrent streams

 

Microservices Architecture

 

  • Purpose: Splits the system into smaller, independently deployable services.

 

  • Key Features:
      • Independent services for user management, video streaming, search, and recommendations

      • Communication between services through REST APIs or gRPC

      • Decoupling for better maintainability and scalability

 

Database & Storage Layer

 

  • Purpose: Stores user data, video metadata, and analytics information.

 

  • Key Features:
      • Relational databases for user data and metadata

      • Object storage for video files (e.g., Amazon S3)

      • NoSQL databases (e.g., Cassandra, MongoDB) for high-speed data access

 

Caching Layer

 

  • Purpose: Improves performance by caching frequently accessed data like video metadata and user preferences.

 

  • Key Features:
      • In-memory data stores like Redis or Memcached for fast data retrieval

      • Cache expiration policies to keep the cache updated

      • Caching for video metadata, user profiles, and recommendations

 

Video Transcoding & Encoding

 

  • Purpose: Converts uploaded video content into various formats and resolutions for optimized playback across devices.

 

  • Key Features:
      • Transcoding from original upload format to multiple formats (e.g., MP4, WebM)

      • Multiple resolution support (e.g., 360p, 720p, 1080p, 4K)

      • Compression for efficient storage

 

Real-Time Messaging & Notifications

 

  • Purpose: Sends notifications to users regarding new content, comments, and updates.

 

  • Key Features:
      • Push notifications for new videos, recommendations, or live broadcasts

      • Real-time notifications for comments, likes, and messages

      • Notification systems like Firebase Cloud Messaging (FCM) or WebSockets for real-time updates



3. Data Flow

Here’s how the system works at a high level, following the data flow:

 

User Requests:

 

  • A user opens the platform (e.g., YouTube/Netflix) through a web browser or app.
  • The request hits the Load Balancer which directs the traffic to the appropriate web server.

 

Search or Recommendations:

 

  • The user enters a search query or browses recommendations.
  • The Search and Discovery Service queries the Database for video metadata and retrieves results based on the search query or recommendations model.
  • If the video has been watched previously, it can show up in the user’s recommendations list or be ranked higher in search results.

 

Video Playback:

 

  • The user clicks on a video.
  • The Video Streaming Service fetches the video file from the CDN (if cached) or the Video Storage Service.
  • The video is delivered in the appropriate format (via Adaptive Bitrate Streaming) based on the user’s device and network conditions.

 

User Interaction (e.g., Comments, Likes):

 

  • While watching, the user can interact with the content by liking, commenting, or sharing.
  • These actions are recorded in the User Interaction Database, and the video metadata is updated accordingly.

 

Analytics and Reporting:

 

  • The system continuously collects data on video views, user engagement, and performance.
  • Analytics data is stored in the Analytics Database and used for reporting to content creators and business decision-making.

 

Video Upload (for content creators):

 

  • Content creators upload videos to the platform.
  • The Video Transcoding Service processes the uploaded content to multiple formats and resolutions.
  • The video is stored in the Object Storage Service, and metadata is added to the Database.


4. Scalability & Redundancy

Horizontal Scaling:

 

  • As traffic increases, new instances of web servers, microservices, and databases are added to handle more requests.
  • Load Balancers distribute the incoming traffic among these instances to ensure even load distribution.

 

Data Replication:

 

  • To ensure high availability and prevent data loss, the Database and Video Storage systems implement replication strategies.
  • Databases use master-slave replication or multi-region replication to ensure data availability.

 

Content Caching:

 

  • The Caching Layer reduces database load by storing frequently requested video metadata, recommendations, and user profiles in fast-access memory.

 

Disaster Recovery:

 

  • Regular backups and multi-region replication of databases ensure data is not lost in case of a failure.
  • The system uses failover mechanisms to switch to backup servers or regions if the primary one goes down.
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