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

Popular distributed cache solutions

There are two very popular distributed cache solutions out there in the market – Redis and Memcached. Redis and Memcached are two widely used distributed cache solutions, prized for their speed and simplicity in efficiently storing and retrieving data. Understanding the strengths of Redis and Memcached is crucial for developers looking to optimize data access in distributed environments. Let’s explore each one of them a bit more.

Redis

Redis is a versatile in-memory data store that supports a range of data structures such as strings, lists, sets, and hashes. Offering persistence options for durability, it goes beyond basic storage capabilities with advanced features including pub/sub messaging, transactions, and Lua scripting. This flexibility allows Redis to serve multiple purposes, functioning as a cache, message broker, or even a full-fledged database. Let’s explore its common use cases, scalability, and community support...