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HLDsystem_design~12 mins

Why system design is essential for senior roles in HLD - Architecture Impact

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System Overview - Why system design is essential for senior roles

This system represents the role of system design in senior technical positions. It highlights how senior engineers use system design to create scalable, reliable, and maintainable software systems. The key requirements include understanding complex architectures, making trade-offs, and guiding teams to build effective solutions.

Architecture Diagram
  User
   |
   v
Load Balancer
   |
API Gateway
   |
Senior Engineer Service
  /      \
Database  Cache
Components
User
actor
Initiates requests to the system
Load Balancer
load_balancer
Distributes incoming requests evenly to prevent overload
API Gateway
api_gateway
Routes requests to appropriate services and handles security
Senior Engineer Service
service
Implements system design decisions and manages system architecture
Database
database
Stores persistent data for the system
Cache
cache
Speeds up data retrieval to improve system performance
Request Flow - 10 Hops
User → Load Balancer
Load Balancer → API Gateway
API Gateway → Senior Engineer Service
Senior Engineer Service → Cache
Cache → Senior Engineer Service
Senior Engineer Service → Database
Database → Senior Engineer Service
Senior Engineer Service → API Gateway
API Gateway → Load Balancer
Load Balancer → User
Failure Scenario
Component Fails:Database
Impact:New data writes fail and cache misses cannot be resolved, causing stale or incomplete data
Mitigation:Use database replication and failover to maintain availability; cache serves read requests during failure
Architecture Quiz - 3 Questions
Test your understanding
Which component is responsible for distributing incoming user requests evenly?
AAPI Gateway
BLoad Balancer
CSenior Engineer Service
DCache
Design Principle
This architecture shows how senior roles rely on system design to build scalable and reliable systems. It emphasizes layered components like load balancers, API gateways, caching, and databases working together to handle requests efficiently and maintain availability even during failures.