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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
5
Part 2: Core Components of Distributed Systems
10
Part 3: System Design in Practice

Designing a distributed cache

We will now design a distributed cache. Let’s start by noting down the requirements and then creating a high-level diagram with all the components. We will then go into a detailed design hashing out the inner workings of the components.

Requirements

Thinking about the requirements for the distributed cache, we can categorize them into two areas: functional and non-functional requirements.

The following are the functional requirements:

  • put(key, value): We should be able to add a key and value pair to the cache
  • get(key): Given the key, we should be able to fetch the corresponding value

The following are the non-functional requirements:

  • Highly performant: The system should deliver fast and efficient access to cached data, providing low-latency responses and high throughput. Performance is a critical aspect of distributed caching, especially in scenarios where quick access to frequently used data is essential for...
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System Design Guide for Software Professionals
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