NETFLIX ARCHITECTURE

NETFLIX ARCHITECTURE

1. Client:

???- This is you using Netflix on your TV, laptop, or phone. It's where you browse and play videos.

2. Open Connect (OC) or Netflix CDN (Content Delivery Network):

???- Imagine this as Netflix's own global delivery system spread across different places. When you play a video, it's like getting the video from the nearest server, making it faster.

3. Backend (Database):

???- This is where everything that doesn't involve playing videos happens. It manages adding new content, processing videos, distributing them worldwide, and handling network traffic. Most of this is taken care of by Amazon Web Services (AWS).

How Netflix Gets a Movie/Video Ready:

1. Video Processing:

???- Netflix gets high-quality videos from movie studios. Before you watch, they tweak these videos to work on various devices. This process is called transcoding or encoding, making sure the video fits your screen.

2. File Optimization:

???- They make different versions of the same movie for various network speeds and device types. This involves a lot of processing, and Netflix breaks down the original video into smaller parts, converting them into different formats and resolutions.

3. Distributing Videos:

???- Once processed, these video versions go to Open Connect servers worldwide. When you hit play, AWS (Amazon Web Services) handles tasks like login, recommendations, and more. Then, based on your location and device, the best server delivers the right video format to your device.

What Happens in the Netflix System:

- User Data:

???- Information like what you search, watch, your location, device, and preferences are stored on AWS. Netflix uses this data to suggest movies and shows using machine learning.

- Elastic Load Balancer (ELB):

???- Think of this as traffic control. ELB makes sure requests are distributed efficiently to different parts of Netflix's system, ensuring a smooth experience.

- Zuul:

???- It's like a gatekeeper that helps manage requests, ensuring they go to the right place. It handles authentication, routing, and more.

- Hystrix:

???- In a complex system, if one part fails, it shouldn't bring everything down. Hystrix helps isolate failures, control latency, and recover gracefully.

- Microservices:

???- Netflix is like a collection of small services that work together. Each service handles specific tasks, making the system reliable. If one service has an issue, it doesn't affect everything.

- EV Cache:

???- This is like a super-fast memory where frequently used data is stored. It helps speed up Netflix by reducing the load on the main servers.

- Databases:

???- Netflix uses MySQL for things like billing and user info because it's good for handling important data. For massive data like viewing history, they use Cassandra, a powerful database that handles a lot of information.

- Data Processing:

???- When you click on a video, a lot happens in less than a second. Netflix uses Kafka and Apache Chukwa to collect and process data, helping them improve and monitor their system.

- Elasticsearch:

???- Netflix uses Elasticsearch to visualize data, support customer care, and detect errors. For example, if a video doesn't play, they can quickly find out why using Elasticsearch.

- Apache Spark for Recommendations:

???- When you see movie suggestions on Netflix, Apache Spark and machine learning come into play. It uses your viewing history and preferences to recommend movies you might like.

- Artwork Personalization:

???- Ever notice how the movie images change? Netflix tests different images to see which ones you like best based on your preferences, making your experience more personalized.

- Video Recommendation System:

???- This system predicts what you might like based on your history, what other similar users like, and information about the videos themselves. It uses two methods: collaborative filtering (finding users with similar tastes) and content-based filtering (suggesting similar videos).

Netflix is like a smart, fast, and efficient entertainment assistant. It prepares videos for you, knows your taste, and ensures you have a smooth and enjoyable streaming experience!

?list of AWS services used by Netflix?

1. Amazon EC2 (Elastic Compute Cloud):

???- Usage:? Netflix utilizes EC2 instances to run its streaming services, handling tasks such as video transcoding, encoding, and other processing associated with delivering streaming content.

???- Example: When a user requests to stream a movie, EC2 instances process the footage, encode multiple copies for different screen sizes, and store the finished movie files.

2. Amazon S3 (Simple Storage Service):

???- Usage:Netflix uses S3 for storing and delivering streaming content, as well as for data backup and archiving.

???- Example:All video content, including movies and TV shows, is stored in Amazon S3 buckets, allowing scalable and low-latency access.

3. Amazon RDS (Relational Database Service):

???- Usage:RDS is used for managing relational databases, and Netflix may use it for various purposes, such as customer data storage.

???- Example:Customer-related data, like user profiles and watch history, could be stored in an RDS database for data consistency.

4. Amazon CloudFront:

???- Usage:Netflix uses CloudFront as a Content Delivery Network (CDN) to distribute streaming content globally, reducing latency.

???- Example:When a user streams a movie, CloudFront delivers the content from the nearest edge location, enhancing the streaming experience.

5. Amazon DynamoDB:

???- Usage:DynamoDB, a managed NoSQL database service, may be used for certain data storage and retrieval needs.

???- Example:Metadata related to Netflix's content catalog, such as information about movies and actors, could be efficiently stored and queried in DynamoDB.

6. Amazon Route 53:

???- Usage: Route 53 is used for domain registration and DNS management.

???- Example: Route 53 ensures that users are directed to the nearest and most responsive servers when accessing Netflix from different regions.

7. Amazon Kinesis:

???- Usage: Kinesis is used for real-time data processing and analytics.

???- Example:Netflix can analyze real-time user behavior data, such as which movies are being watched, to make dynamic decisions on content recommendations.

8. AWS Lambda:

???- Usage: Lambda is used for serverless computing, enabling Netflix to run code in response to events without managing servers.

???- Example: Lambda functions could be triggered to update user profiles or initiate personalized recommendations based on user interactions.

9. Amazon ElastiCache:

???- Usage: ElastiCache could be employed for caching frequently accessed data to improve performance.

???- Example: Caching movie metadata or user preferences in ElastiCache reduces the need for frequent database queries, improving response times.