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Microservicessystem_design~12 mins

Lessons from microservices failures - Architecture Diagram

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System Overview - Lessons from microservices failures

This system illustrates a typical microservices architecture and highlights common failure points. It shows how services communicate through APIs, use databases and caches, and handle asynchronous tasks with message queues. The key lesson is to understand failure impacts and mitigation strategies to build resilient microservices.

Architecture Diagram
User
  |
  v
Load Balancer
  |
  v
API Gateway
  |
  +-----------------------------+
  |                             |
  v                             v
Service A                    Service B
  |                             |
  v                             v
Cache A                      Cache B
  |                             |
  v                             v
Database A                  Database B
  |
  v
Message Queue
  |
  v
Service C (Async Worker)
Components
User
client
Initiates requests to the system
Load Balancer
load_balancer
Distributes incoming traffic evenly to API Gateway instances
API Gateway
api_gateway
Routes requests to appropriate microservices and handles authentication
Service A
service
Handles business logic for feature A
Service B
service
Handles business logic for feature B
Cache A
cache
Stores frequently accessed data for Service A to reduce database load
Cache B
cache
Stores frequently accessed data for Service B to reduce database load
Database A
database
Persistent storage for Service A data
Database B
database
Persistent storage for Service B data
Message Queue
queue
Manages asynchronous communication and task processing
Service C (Async Worker)
service
Processes background tasks asynchronously from the queue
Request Flow - 15 Hops
User → Load Balancer
Load Balancer → API Gateway
API Gateway → Service A
Service A → Cache A
Cache A → Service A
Service A → Database A
Database A → Service A
Service A → Cache A
Service A → Message Queue
Message Queue → Service C (Async Worker)
Service C (Async Worker) → Database B
Service C (Async Worker) → Cache B
Service A → API Gateway
API Gateway → Load Balancer
Load Balancer → User
Failure Scenario
Component Fails:Database A
Impact:Service A cannot write or read fresh data; cache may serve stale data; async tasks dependent on fresh data may fail or delay
Mitigation:Use database replication for failover; implement circuit breakers in Service A to degrade gracefully; rely on cache for reads temporarily; alert and auto-scale recovery processes
Architecture Quiz - 3 Questions
Test your understanding
Which component ensures that user requests are evenly distributed to prevent overload?
ALoad Balancer
BAPI Gateway
CCache
DMessage Queue
Design Principle
This architecture demonstrates the importance of separating synchronous and asynchronous processing, using caches to reduce database load, and employing load balancers and API gateways to manage traffic. Understanding failure impacts and mitigation strategies like replication, circuit breakers, and graceful degradation is key to building resilient microservices.