Patterns
Patterns
Common system design patterns that help you recognize, structure, and solve new interview problems.
Patterns
Large File Processing
Patterns
Fanout (Read vs Write)
Patterns
Real-time Messaging
Patterns
Write-heavy Systems
A write-heavy system receives many writes, events, or updates. In interviews, the main challenge is protecting the system from overload while keeping writes durable and correct. What it means A system is write-heavy when new data arrives very frequently. Examples: * logging system * metrics platform * click analytics * chat messages * location updates
Patterns
Read-heavy Systems
A read-heavy system has far more reads than writes. In interviews, the main goal is to make the read path fast, cheap, and reliable. What it means A system is read-heavy when users read data much more often than they create or update it. Examples: * URL shortener redirects * product detail