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

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781805124993

Length 384 pages

Edition 1st Edition

Concepts

Application Development

Authors (2):

Dhirendra Sinha

Tejas Chopra

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Table of Contents (21) Chapters

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

Databases

Databases provide a way to store, organize, and manipulate large amounts of information in a systematic and controlled manner. This data can be structured, semi-structured, or unstructured, depending on the specific type of database and its use case. Let’s think about the reasons why we would need a database.

Here are some key reasons why we need databases:

Data organization: Databases provide a structured and organized way to store data. Data is arranged in tables, rows, and columns, making it easy to categorize and access information.
Data retrieval: Databases enable fast and efficient data retrieval. Users can perform complex queries to extract specific data, and indexing mechanisms speed up data lookup.
Data integrity: Databases enforce data integrity by using constraints, relationships, and validation rules. This ensures that data is accurate, consistent, and reliable.
Data security: Databases offer security features such as user authentication...