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

Consistency

Consistency in distributed system design is the idea that all nodes in a distributed system should agree on the same state or view of the data, even though the data may be replicated and distributed across multiple nodes. In other words, consistency ensures that all nodes store the same data and return updates to the data in the same order on being queried for the same updates to the data in the same order.

There are primarily two types of consistency models that can be used in distributed systems:

Strong consistency
Eventual consistency

Let’s explore the first type of consistency.

Strong consistency

Strong consistency in distributed systems refers to a property that ensures all nodes in the system observe the same order of updates to shared data. It guarantees that when a write operation is performed, any subsequent read operation will always return the most recent value. Strong consistency enforces strict synchronization and order of...