🎥Using Amazon S3 for video storage and a key-value store like MongoDB for video metadata
⚡️Utilizing a CDN to ensure low-latency video streaming for viewers worldwide
👤Storing user data in MySQL for relational database capabilities
📺Using a queue system to handle video upload requests and process them sequentially
💡Considerations for scalability and fault tolerance to handle millions of daily active users
What storage solutions are recommended for video uploads?
—Amazon S3 is a highly reliable storage solution for video files, while key-value stores like MongoDB can be used for video metadata.
How can low latency be achieved for video streaming?
—Utilizing a CDN (Content Delivery Network) can ensure that videos are served from servers closer to viewers, reducing latency.
What database is suitable for storing user data?
—MySQL is commonly used for storing user data, as it provides relational database capabilities.
How can video upload requests be processed efficiently?
—A queue system can be implemented to handle video upload requests and process them sequentially, ensuring efficient processing.
How can the system handle millions of daily active users?
—Scalability and fault tolerance measures should be implemented to ensure the system can handle the high volume of users and potential failures.
00:00Introduction to designing a system for video uploads and streaming
07:10Choosing Amazon S3 for video storage and MongoDB for video metadata
07:48Utilizing a CDN for low-latency video streaming
08:38Using MySQL for storing user data
09:25Implementing a queue system for efficient processing of video upload requests
12:00Considerations for scalability and fault tolerance
