Latency vs Throughput — What Actually Makes Your System Fast | System Design Basics

Amazon found that every 100 milliseconds of added latency costs them 1% in revenue — that's 1.7 billion dollars a year for a delay you can't even consciously perceive. But YouTube receives 500 hours of video every minute, and no amount of low-latency optimization will help process that. You need throughput. In this video, we break down both metrics, show you exactly where each one breaks in a real system, and give you a two-question framework to pick the right one in any system design interview.

✅ What you'll learn:
→ Latency = time for one request · throughput = total volume per second
→ The three components of latency: Network RTT + Processing + Queuing Delay
→ Why queuing delay turns a 52ms response into a 500ms one under load
→ How horizontal scaling raises throughput but doesn't reduce latency
→ How a Redis cache reduces latency without touching throughput
→ Latency-first systems: stock trading, payments, gaming, autocomplete
→ Throughput-first systems: ML training, video encoding, ETL pipelines
→ The layered answer: separate user-facing path from background path

🕐 Chapters:
0:00 ⚡ Latency vs Throughput
2:11 ⚡ Why Performance Breaks — The Two Failure Modes
4:57 ⚡ Defining the Two Metrics
7:09 ⏱ Where Does Latency Accumulate?
9:14 🚀 What Throughput Actually Looks Like
10:54 ⚖️ Latency-First vs Throughput-First
13:04 🔁 Both Metrics — One System
15:30 🎯 The Interview Framework — L vs T
17:30 🌏 What Latency and Throughput Made Possible
22:12 ✅ Done

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📌 Video #4 of the System Design Fundamentals series.
Previous → Distributed Systems Explained [https://www.youtube.com/watch?v=o8y4ZCUBlAM]
Next → Caching Strategies: Redis Deep Dive [link once published]

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🔗 Full series playlist → [https://www.youtube.com/playlist?list=PLqBKiJPu5a1nlrXt6FDE4l5-eIKVGrLY5]
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Видео Latency vs Throughput — What Actually Makes Your System Fast | System Design Basics канала ByteLearn