In capacity planning, which is the safest starting approach?

Problem Statement

Explanation

Quick math sets guardrails. Estimate QPS, peak factors, data volume, and network egress. Add headroom for spikes. Numbers expose bottlenecks early, inform partition keys, and drive caching choices.

Code Solution

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QPS≈50k, peak×3, avg payload≈2 KB => net ≈300 MB/s

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High-Level Design (HLD) Interview Core

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In capacity planning, which is the safest starting approach?

Problem Statement

Explanation

Code Solution

Practice Sets

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Master Interviews Anywhere, Anytime

In capacity planning, which is the safest starting approach?

Problem Statement

Explanation

Code Solution

Practice Sets

Related Questions

Which statement best describes the Single Responsibility Principle?

Open–Closed Principle encourages what practice when adding features?

High-Level Design (HLD) typically focuses on which artifacts?

Which UML diagram best captures interactions over time between components?

Which pairing describes a healthy design goal?

More from System Design

Master Interviews
Anywhere, Anytime