Write-Through vs Write-Behind Caching Patterns
UML Sequence Diagrams · made in Skemio

What it shows
- Write-through commits to DB synchronously, preventing data loss on crash.
- Write-behind enqueues writes in memory, delivering sub-millisecond ACKs.
- Write-behind risks dropping uncommitted records if the cache node fails.
The takeaway
Pick write-through for strong durability, and write-behind when maximizing raw write throughput.
- #SystemDesign
- #Caching
- #Backend
- #Database
- #SoftwareEngineering





