Tutorials System Design Tutorial
Scaling Optimization Playbook — Complete Guide
Scaling Optimization Playbook — 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 86 of 100
Scaling Optimization Playbook
Basics ✓ → Scale ✓ → Interview
Interview · 3 — Case studies · ~10 min · Module 9: Performance and Optimization
What is this?
A scaling playbook is an ordered checklist: fix queries/cache → scale stateless → scale data reads → partition writes — with owners and metrics.
Why should you care?
During ShopNest incidents, people need the next lever without debating philosophy.
See it live — copy this example
Sketch the architecture on paper. These lessons focus on concepts and trade-offs.
Playbook order:
1 Kill bad query / enable cache
2 Raise API replicas
3 Shift reads to replicas
4 Shed non-critical load
5 Consider shards (last)
Exit criteria per step with metricsRun Example »
This lesson uses terminal or setup steps. Run commands on your computer — the live editor appears on coding lessons.
What happened?
- Cheapest correctness-preserving fixes first.
- Document who can flip each lever.
- Rehearse before festival season.
Practice next
- Write ShopNest’s ordered levers.
- Assign owners for each lever.
- Define exit metrics.
- Add feature-flag shed for recommendations.
- Link playbook from the alert.
Remember
Ordered levers. Metrics per step. Rehearse.
Festival playbook
ShopNest on-call follows cache→HPA→replica steps.
Outcome: Sale night stays controlled without panic sharding.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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