Tutorials System Design Tutorial
Storage Performance Optimization — Complete Guide
Storage Performance Optimization — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of System Design Tutorial on Toolliyo Academy.
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System Design Tutorial · Lesson 39 of 100
Storage Performance Optimization
Basics ✓ → Scale → Interview
Scale · 2 — Distributed · ~6 min · Module 4: Caching and Storage
What is this?
Storage performance tuning covers IOPS, throughput, queue depth, caching, and separating hot/cold data.
Why should you care?
ShopNest checkout latency spikes when the DB volume saturates IOPS during reports.
See it live — copy this example
Sketch the architecture on paper. These lessons focus on concepts and trade-offs.
Hot: Orders SSD / provisioned IOPS
Cold: old partitions on cheaper storage
App: connection pool sizing; avoid giant sorts spilling to disk
Measure: disk queue length, read latency, write latencyRun Example »
This lesson uses terminal or setup steps. Run commands on your computer — the live editor appears on coding lessons.
What happened?
- Faster disks help, but query shape and isolation help more.
- Move cold data away so hot volumes stay responsive.
Practice next
- Separate ShopNest analytics I/O from OLTP volume.
- Watch disk latency dashboards during sale drills.
- Right-size pools to avoid stampeding the disk.
- Move temp/sort space thoughtfully.
- Add read replica so reports stop hitting primary disks.
Remember
Measure storage latency. Hot/cold separation. Fix queries before endless IOPS upgrades.
OLTP volume protected
ShopNest reports leave primary SSD alone.
Outcome: Checkout write latency flattens.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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