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Netflix architecture overview in Microservices - Architecture Diagram

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System Overview - Netflix architecture overview

Netflix is a streaming platform that delivers movies and TV shows to millions of users worldwide. It requires a highly scalable, reliable, and low-latency system to handle user requests, content delivery, and personalized recommendations.

Architecture Diagram
User
  |
  v
+----------------+
| Load Balancer  |
+----------------+
  |
  v
+----------------+       +----------------+       +----------------+
| API Gateway    |<----->| Authentication |<----->| User Profile   |
+----------------+       +----------------+       +----------------+
  |
  v
+----------------+       +----------------+       +----------------+
| Streaming      |<----->| Recommendation |<----->| Content Metadata|
| Service        |       | Service        |       | Service         |
+----------------+       +----------------+       +----------------+
  |
  v
+----------------+
| CDN (Content   )|
| Delivery Network|
+----------------+
  |
  v
+----------------+
| Storage (S3,   )|
| Object Storage |
+----------------+
  |
  v
+----------------+
| Database Layer |
| (User Data,   )|
| Metadata, Logs)|
+----------------+
Components
User
client
End user device requesting streaming content
Load Balancer
load_balancer
Distributes incoming user requests evenly across API Gateway instances
API Gateway
api_gateway
Entry point for all client requests, routes to appropriate microservices
Authentication Service
service
Validates user credentials and issues tokens
User Profile Service
service
Manages user preferences, watch history, and account details
Streaming Service
service
Handles video streaming requests and session management
Recommendation Service
service
Generates personalized content suggestions based on user data
Content Metadata Service
service
Stores and provides information about movies and shows
CDN (Content Delivery Network)
cdn
Caches and delivers video content close to users for low latency
Storage (Object Storage)
storage
Stores original video files and assets
Database Layer
database
Stores user data, metadata, logs, and service state
Request Flow - 10 Hops
User → Load Balancer
Load Balancer → API Gateway
API Gateway → Authentication Service
API Gateway → User Profile Service
API Gateway → Recommendation Service
API Gateway → Content Metadata Service
API Gateway → Streaming Service
Streaming Service → CDN
CDN → User
Storage (Object Storage) → CDN
Failure Scenario
Component Fails:CDN
Impact:Video streaming latency increases significantly as requests go directly to storage, causing buffering and poor user experience.
Mitigation:Use multiple CDN providers and fallback mechanisms; cache pre-warming and replication to reduce cache misses.
Architecture Quiz - 3 Questions
Test your understanding
Which component is responsible for distributing incoming user requests evenly?
AAPI Gateway
BLoad Balancer
CCDN
DAuthentication Service
Design Principle
This architecture uses microservices to separate concerns like authentication, user profiles, recommendations, and streaming. It employs a CDN to reduce latency and load on storage. Load balancers and API gateways ensure scalability and routing. This design supports millions of users with low latency and high availability.

Practice

(1/5)
1. What is the main reason Netflix uses microservices in its architecture?
easy
A. To make the system monolithic and simple
B. To use a single large database for all data
C. To avoid using APIs for communication
D. To break down the system into smaller, manageable parts

Solution

  1. Step 1: Understand microservices purpose

    Microservices divide a large system into smaller parts that are easier to manage and update.

  2. Step 2: Relate to Netflix architecture

    Netflix uses microservices to handle specific functions separately, improving scalability and maintenance.

  3. Final Answer:

    To break down the system into smaller, manageable parts -> Option D

  4. Quick Check:

    Microservices = Smaller parts [OK]
Hint: Microservices split big systems into small parts [OK]
Common Mistakes:
  • Thinking microservices avoid APIs
  • Believing Netflix uses one big database
  • Confusing microservices with monolithic design
2. Which of the following correctly describes how Netflix microservices communicate?
easy
A. Through APIs that allow services to talk to each other
B. Using direct database connections between services
C. By sharing the same memory space
D. Using file system locks to coordinate

Solution

  1. Step 1: Identify communication method in microservices

    Microservices communicate via APIs, which are defined interfaces for exchanging data.

  2. Step 2: Match with Netflix architecture

    Netflix services use APIs to interact, ensuring loose coupling and independent deployment.

  3. Final Answer:

    Through APIs that allow services to talk to each other -> Option A

  4. Quick Check:

    Microservices communicate via APIs [OK]
Hint: Microservices talk via APIs, not direct DB or memory [OK]
Common Mistakes:
  • Assuming services share memory
  • Thinking services connect directly to databases
  • Believing file locks coordinate services
3. Consider Netflix's microservice for user recommendations. If this service fails, what is the likely impact on the system?
medium
A. Only the recommendation feature will be affected
B. User login will fail for all users
C. The entire Netflix platform will stop working
D. Video streaming will be interrupted for all users

Solution

  1. Step 1: Understand microservice isolation

    Each microservice handles a specific function independently, so failure affects only that function.

  2. Step 2: Apply to recommendation service failure

    If the recommendation service fails, only recommendations stop working; other features like login or streaming continue.

  3. Final Answer:

    Only the recommendation feature will be affected -> Option A

  4. Quick Check:

    Microservice failure affects only its feature [OK]
Hint: Microservice failure affects only its own feature [OK]
Common Mistakes:
  • Assuming entire platform fails
  • Confusing recommendation with login or streaming
  • Thinking microservices share failure impact
4. A developer notices that Netflix microservices are tightly coupled, causing deployment issues. What is the best fix?
medium
A. Increase the database size to handle more data
B. Refactor services to communicate only via APIs and avoid direct calls
C. Use shared global variables for communication
D. Merge all microservices into one big service

Solution

  1. Step 1: Identify tight coupling problem

    Tightly coupled services depend directly on each other, causing deployment and scaling problems.

  2. Step 2: Apply microservice best practice

    Services should communicate only via APIs to remain independent and deploy separately.

  3. Final Answer:

    Refactor services to communicate only via APIs and avoid direct calls -> Option B

  4. Quick Check:

    Loose coupling via APIs fixes deployment issues [OK]
Hint: Use APIs to keep services independent and deployable [OK]
Common Mistakes:
  • Merging services defeats microservice benefits
  • Using shared variables breaks isolation
  • Increasing DB size doesn't fix coupling
5. Netflix wants to scale its video streaming microservice during peak hours. Which approach best fits its microservices architecture?
hard
A. Store all streaming data in a single database server
B. Combine streaming with user login service to reduce network calls
C. Deploy multiple instances of the streaming service behind a load balancer
D. Disable other microservices to free resources for streaming

Solution

  1. Step 1: Understand scaling in microservices

    Scaling means running multiple copies of a service to handle more users.

  2. Step 2: Apply to streaming service

    Deploying multiple streaming service instances with a load balancer distributes user requests efficiently.

  3. Step 3: Evaluate other options

    Merging services or disabling others breaks microservice principles; single DB server is a bottleneck.

  4. Final Answer:

    Deploy multiple instances of the streaming service behind a load balancer -> Option C

  5. Quick Check:

    Scale by multiple instances + load balancer [OK]
Hint: Scale by adding instances and load balancer [OK]
Common Mistakes:
  • Merging services reduces flexibility
  • Single DB server limits scalability
  • Disabling services harms user experience