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Microservicessystem_design~12 mins

Docker basics review in Microservices - Architecture Diagram

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System Overview - Docker basics review

This system demonstrates how Docker containers help run microservices independently and consistently. Each microservice runs inside its own container, making deployment easy and isolated. The system includes a load balancer to distribute user requests to multiple container instances for scalability and reliability.

Architecture Diagram
User
  |
  v
Load Balancer
  |
  +-------------------+
  |                   |
Service A Container  Service B Container
  |                   |
Database             Cache
Components
User
user
End user who sends requests to the system
Load Balancer
load_balancer
Distributes incoming requests evenly to container instances
Service A Container
service_container
Runs microservice A inside a Docker container
Service B Container
service_container
Runs microservice B inside a Docker container
Database
database
Stores persistent data accessed by services
Cache
cache
Stores frequently accessed data for fast retrieval
Request Flow - 9 Hops
User → Load Balancer
Load Balancer → Service A Container
Service A Container → Cache
Cache → Service A Container
Service A Container → Database
Database → Service A Container
Service A Container → Cache
Service A Container → Load Balancer
Load Balancer → User
Failure Scenario
Component Fails:Load Balancer
Impact:All incoming user requests fail to reach any service containers, causing complete service outage.
Mitigation:Deploy multiple load balancer instances with health checks and failover to ensure high availability.
Architecture Quiz - 3 Questions
Test your understanding
What is the main purpose of the load balancer in this Docker microservices system?
ATo store frequently accessed data for fast retrieval
BTo distribute user requests evenly to container instances
CTo run microservices inside containers
DTo store persistent data accessed by services
Design Principle
This architecture shows how Docker containers isolate microservices for easy deployment and scaling. The load balancer ensures even request distribution, while cache improves performance by reducing database load. This design supports reliability and scalability in microservices systems.