Netflix System Design Using AWS Services
Tags: systemdesign, webdev, javascript, react
Published: 2023-08-23 06:48:31

In the digital age of streaming, Netflix has revolutionized how we consume content. Behind its user-friendly interface lies a complex system designed to seamlessly onboard new content and deliver it to millions of users across various devices. In this article, we will take an in-depth look at the intricate processes that power Netflix's content management and delivery, while exploring the AWS concepts that underpin its architecture.

## Watch my youtube video for in depth explanation of Netflix System Design

{% youtube xnLwtVmW8Sk  %}

## Eraser.io: Redefining Diagramming Simplicity

In the world of visual communication and system design, clarity is key. Introducing Eraser.io, a cutting-edge platform that simplifies diagramming and empowers users to convey complex ideas with remarkable ease. By leveraging the innovative tools provided by Eraser.io, intricate concepts can be effortlessly transformed into clear and concise diagrams. Whether you're mapping out system architectures, illustrating workflows, or creating visual aids for presentations, Eraser.io offers a seamless experience that streamlines the process of translating intricate thoughts into striking visuals. Let's delve into the features and benefits that set Eraser.io apart, enhancing the way we visualize and share ideas. To explore this transformative platform further, visit their website at [eraser.io](https://www.eraser.io).

I have used eraser for diagram illustrations for the blog post. You can check out the entire diagram on eraser's canvas from the link below.

[Netflix System Design](https://app.eraser.io/workspace/HiSEdr91QbThk5MVkhlw)

## Part 1: How Netflix Onboards New Content

### Step 1: Uploading and Storing Metadata

The journey begins when Netflix administrators upload new content along with metadata like tags, titles, and descriptions. This metadata is essential for organizing and categorizing content, enabling efficient search functionality. Netflix stores this metadata in Elasticsearch/OpenSearch databases, which provide lightning-fast search capabilities.

![Uploading and Storing Metadata](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ivd0tfl4r5j4jt2ci6y6.png)

### Step 2: Video Upload and Processing

Once uploaded, the video content resides in an Amazon S3 bucket. To ensure optimal user experiences across devices, the video undergoes a conversion process. AWS Elemental MediaConvert steps in here, converting the video into various formats and resolutions tailored to different devices and network conditions. This adaptive streaming approach guarantees a smooth playback experience.


![Video Upload and Processing](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/q0lybqoplovay2tgm64c.png)

### Step 3: Content Analysis using AI

As part of quality control, Netflix employs AWS Rekognition, an AI service, to analyze uploaded videos for sensitive content like explicit material. This automated content analysis helps maintain the platform's integrity and safety.


![Content Analysis using AI](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/lfx79uhq10r8veoghjjo.png)


### Step 4: Parallel Processing with Step Functions

Netflix ensures efficiency by employing AWS Step Functions for parallel processing. This orchestrates multiple tasks, like content conversion and AI analysis, simultaneously. The parallel execution reduces processing time and enhances overall system performance.


![Parallel Processing with Step Functions](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/m91cqadnfny2rtgo57q2.png)


### Step 5: Storage for Frequent and Infrequent Access

Following processing, the content moves to a frequently accessed Amazon S3 bucket. However, to manage costs effectively, content not frequently viewed is transferred to an infrequent access S3 bucket. This hierarchical storage approach optimizes resource utilization.


![Storage for Frequent and Infrequent Access](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/rh1rbto0qyvr0anflyc4.png)



### Step 6: Cold Storage in Glacier

For content with minimal viewership, Netflix employs Amazon S3 Glacier, a cost-effective cold storage solution. This tiered storage model ensures that content is stored in the most cost-efficient manner based on its popularity.

![Cold Storage in Glacier](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/xuhcl7ml7xkj4avf1s5a.png)

### Step 7: Content Delivery through CDN

Netflix's content delivery network (CDN), known as Open Connect, plays a crucial role in delivering content seamlessly. The CDN caches frequently requested content, reducing latency and ensuring rapid content access.

![Content Delivery through CDN](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/9bnvb9qceh213yxeeu3k.png)


### Step 8: Analytics with ELK Stack

To gain insights into user behavior and system performance, Netflix uses the ELK stack, comprising Elasticsearch, Logstash, and Kibana. Elasticsearch indexes and stores logs, Logstash processes and pipelines data, and Kibana offers visualization tools. This powerful combination enables data-driven decisions and system improvements.

![Analytics with ELK Stack](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/0qkjautlu5icdwuupuzb.png)

## Part 2: How Netflix Serves Content to Users

### Step 1: User Access via Devices
Netflix's versatility lies in its compatibility with various devices—smartphones, televisions, laptops, and gaming consoles. This multi-device access requires a responsive and uniform user experience.

![User Access via Devices](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/t4w2vpv61dt4y6eyydoo.png)

### Step 2: Frontend and CDN Interaction
Upon accessing Netflix, users interact with the frontend website developed using React.js. This dynamic JavaScript library ensures an engaging user interface. The CDN connects users to this frontend, delivering a seamless experience.

![Frontend and CDN Interaction](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/jawxmjp2olsa2y807rvu.png)

### Step 3: Seamless Search Experience
When users search for content, the website communicates with the CDN, which interacts with Netflix's backend through API gateways and microservices. A lambda function is triggered, querying the database for relevant video metadata based on the search query.

![Seamless Search Experience](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/gvmwfh0hsybkgwfwfe5u.png)

### Step 4: Video Delivery via CDN
The CDN retrieves the video's metadata from the database and simultaneously connects to another S3 bucket storing the actual video content. Both metadata and video are cached within the CDN, optimizing subsequent access requests.

### Step 5: Enabling Smooth Playback
Thanks to cached content within the CDN, users can access frequently requested content with minimal latency. This caching mechanism ensures smooth playback, regardless of the user's location.

![Enabling Smooth Playback](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/oxcanu4h8z654rh5iz5a.png)



## Conclusion
Netflix's content onboarding and delivery system is a technological marvel. By leveraging AWS services like Elemental MediaConvert, Rekognition, and Step Functions, Netflix optimizes content processing while maintaining quality and security. The tiered storage strategy, combined with the Open Connect CDN and ELK stack analytics, ensures a cost-effective, low-latency, and highly available streaming experience. As users continue to access Netflix across diverse devices, the platform's commitment to seamless content delivery remains unwavering.



![Netflix System Design](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/p9v6ju5nhskigpv2f5l1.jpg)