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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 Twitter-like service, it is essential to estimate the storage, bandwidth, and processing requirements based on the expected user base and usage patterns. These calculations help in making informed decisions about the infrastructure and resources needed to support the service. Let’s perform some scale calculations:

  • Assumptions:
    • Total number of users: 100 million
    • Daily active users: 20 million
    • Average number of tweets per user per day: 5
    • Average tweet size: 200 bytes
    • Average media size per tweet: 1 MB
    • Percentage of tweets with media: 20%
    • Retention period for tweets: Five years
  • Storage requirements:
    • Tweet storage:
      • Daily tweet storage: 20 million users × 5 tweets/user/day × 200 bytes/tweet = 20 GB/day
      • Yearly tweet storage: 20 GB/day × 365 days = 7.3 TB/year
      • Total tweet storage for five years: 7.3 TB/year × 5 years = 36.5 TB
  • Media storage:
    • Daily media storage: 20 million users × 5 tweets/user/day × 20% media...
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