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System Design Guide for Software Professionals

You're reading from   System Design Guide for Software Professionals Build scalable solutions – from fundamental concepts to cracking top tech company interviews

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781805124993
Length 384 pages
Edition 1st Edition
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Authors (2):
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Dhirendra Sinha Dhirendra Sinha
Author Profile Icon Dhirendra Sinha
Dhirendra Sinha
Tejas Chopra Tejas Chopra
Author Profile Icon Tejas Chopra
Tejas Chopra
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1: Foundations of System Design
2. Chapter 1: Basics of System Design FREE CHAPTER 3. Chapter 2: Distributed System Attributes 4. Chapter 3: Distributed Systems Theorems and Data Structures 5. Part 2: Core Components of Distributed Systems
6. Chapter 4: Distributed Systems Building Blocks: DNS, Load Balancers, and Application Gateways 7. Chapter 5: Design and Implementation of System Components –Databases and Storage 8. Chapter 6: Distributed Cache 9. Chapter 7: Pub/Sub and Distributed Queues 10. Part 3: System Design in Practice
11. Chapter 8: Design and Implementation of System Components: API, Security, and Metrics 12. Chapter 9: System Design – URL Shortener 13. Chapter 10: System Design – Proximity Service 14. Chapter 11: Designing a Service Like Twitter 15. Chapter 12: Designing a Service Like Instagram 16. Chapter 13: Designing a Service Like Google Docs 17. Chapter 14: Designing a Service Like Netflix 18. Chapter 15: Tips for Interviewees 19. Chapter 16: System Design Cheat Sheet 20. Index

Scale calculations

To design a scalable Netflix-like service, it’s crucial to estimate the storage, bandwidth, and processing requirements, based on the expected user base and usage patterns. These estimations will help us determine the necessary infrastructure and resources needed to support the service. Let’s perform some capacity estimation and scaling calculations by making some basic assumptions.

Here are some of the assumptions we will make while designing our Netflix-like service.

Assumptions

  • The total number of users: 50 million
  • The average number of active users per day: 10 million
  • The average number of videos watched per user per day: 3
  • The average video duration: 1.5 hours
  • The average video file size (HD quality): 3 GB

Next, based on these assumptions, let’s estimate the storage for our service

Storage estimation

Storage will typically include both data and metadata storage. In our case, we have videos, thumbnails...

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