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System Design Guide for Software Professionals

System Design Guide for Software Professionals

By : Dhirendra Sinha, Tejas Chopra
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System Design Guide for Software Professionals

System Design Guide for Software Professionals

By: Dhirendra Sinha, Tejas Chopra

Overview of this book

Building scalable software systems is more critical than ever. Yet, many software professionals struggle to navigate the complexities of system design, especially when aiming for positions at top tech companies. Written by Dhirendra Sinha, a seasoned Engineering Leader at Google with a blend of experience working at large companies such as Cisco, Oracle, and Yahoo, and Tejas Chopra, a Senior Software Engineer at Netflix, a TEDx speaker, and a Co-Founder of GoEB1, this comprehensive and authoritative resource on system design offers invaluable insights and strategies to help you excel in interviews with all major tech companies. This guide covers the basics of system design, including the principles and techniques of distributed systems, and delves into core building blocks such as distributed system theorems, attributes, and the design and implementation of system components. Following examples of popular applications such as Uber, Twitter, Instagram, Google Docs, and Netflix, you’ll learn how to apply concepts to real-world scenarios. The book offers expert advice and strategies for preparing and acing system design interviews, along with a mind map/cheat sheet summarizing the key takeaways. By the end of this book, you’ll be equipped with unique techniques and the confidence to solve any coding interview question.
Table of Contents (21 chapters)
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1
Part 1: Foundations of System Design
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5
Part 2: Core Components of Distributed Systems
10
Part 3: System Design in Practice

Part 1: Foundations of System Design

In this Part, you will gain a comprehensive understanding of the fundamental concepts and principles that underpin modern system design. We’ll start by exploring the essence of system design, its various types, and its critical importance in today’s technology-driven industry.

As we delve deeper, you’ll learn about the key principles of distributed systems, which form the backbone of most large-scale applications today. We will cover crucial concepts such as consistency, availability, partition tolerance, latency, durability, reliability, and fault tolerance.

We’ll then explore the theoretical foundations that guide system design decisions. You will learn about important theorems and algorithms such as the CAP theorem, PACELC theorem, Paxos and Raft algorithms, and the Byzantine Generals Problem. We’ll also introduce you to practical concepts such as consistent hashing, Bloom filters, and HyperLogLog, which are frequently used in large-scale system design.

By the end of this section, you'll have a solid theoretical foundation that will inform your approach to designing and architecting large-scale systems.

This Part has the following chapters.

  • Chapter 1, Basics of System Design
  • Chapter 2, Distributed System Attributes
  • Chapter 3, Distributed Systems Theorems and Data Structures
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System Design Guide for Software Professionals
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