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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 FREE CHAPTER
2. Chapter 1: Basics of System Design 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

Summary

In this chapter, we have explored the system design of a Twitter-like service, covering functional and non-functional requirements, data modeling, scalability considerations, and architectural components. We examined both high-level and low-level designs, focusing on key services such as Tweet Service, User Service, Timeline Service, and Search Service. The system architecture leverages horizontal scaling, data partitioning, and distributed processing to handle a large number of users and interactions efficiently.

Throughout our discussion, we emphasized scalability, reliability, and performance, incorporating techniques such as caching and asynchronous processing to improve response times and handle high throughput. As we conclude, it’s important to note that designing such a service is an ongoing process, requiring flexibility and adaptability to evolving user needs and technological advancements. By following the principles and best practices outlined here, developers...

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